AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques | Paper Citation Record

Observation 7fad96d5-a23d-4034-b675-26a2be9cc130 · outbound

This paper cites Post-earthquake damage assessment using satellite and airborne data in the case of the 1999 Kocaeli earthquake, Turkey.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Post-earthquake damage assessment using satellite and airborne data in the case of the 1999 Kocaeli earthquake, Turkey

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.856512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad3ebf17-cd38-4ef2-8fc9-33d0abdaf809 · outbound

This paper cites an unresolved cited work.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.844635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8071f7a8-5bf8-49ca-a893-4e684aa6da37 · outbound

This paper cites Generative Adversarial Networks.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Generative Adversarial Networks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.863635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c245c9ad-e459-4073-ada0-8e7f7bae58f6 · outbound

This paper cites Generative Deep Learning for Data Generation in Natural Hazard Analysis: Motivations, Advances, Challenges, and Opportunities.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Generative Deep Learning for Data Generation in Natural Hazard Analysis: Motivations, Advances, Challenges, and Opportunities

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.867296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 683cc6a6-6d84-408c-88d2-6f8caa75cfdd · outbound

This paper cites Classifying Earthquake Damage to Buildings Using Machine Learning.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Classifying Earthquake Damage to Buildings Using Machine Learning

Reference 5

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.684602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0f5baabd-536f-48d4-b5f8-45db723d30e8 · outbound

This paper cites UAV-Based Structural Damage Mapping: A Review.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques UAV-Based Structural Damage Mapping: A Review

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.877355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e29d27b-a958-4529-b0c2-64103712498c · outbound

This paper cites Gemini and Physical World: Large Language Models Can Estimate the Intensity of Earthquake Shaking from Multimodal Social Media Posts.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Gemini and Physical World: Large Language Models Can Estimate the Intensity of Earthquake Shaking from Multimodal Social Media Posts

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.884090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b17c7c9-21c5-4160-afa7-d72736d28b5a · outbound

This paper cites Effectiveness of Generative AI for Post-Earthquake Damage Assessment.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Effectiveness of Generative AI for Post-Earthquake Damage Assessment

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.887264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccf82d5d-a91c-45a7-bf9a-368a5527268c · outbound

This paper cites Comprehensive Review of AI and ML Tools for Earthquake Damage Assessment and Retrofitting Strategies.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Comprehensive Review of AI and ML Tools for Earthquake Damage Assessment and Retrofitting Strategies

Reference 9

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.649467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d021e3a5-5c8b-42cc-bf80-498e6a279ee7 · outbound

This paper cites Remote Sensing Techniques to Assess Active Fire Characteristics and Post-Fire Effects.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Remote Sensing Techniques to Assess Active Fire Characteristics and Post-Fire Effects

Reference 10

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.639584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ddc4ec40-e14c-4f97-9747-99fe2641f19f · outbound

This paper cites A Review of the Applications of Remote Sensing in Fire Ecology.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques A Review of the Applications of Remote Sensing in Fire Ecology

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.900122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40e96961-f089-46bb-bf8c-4f95853eccb4 · outbound

This paper cites A Review on Early Forest Fire Detection Systems Using Optical Remote Sensing.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques A Review on Early Forest Fire Detection Systems Using Optical Remote Sensing

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.906517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f67a062-9fb9-422e-80a3-9ca055b4127d · outbound

This paper cites an unresolved cited work.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 14

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.674994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7f000d7a-de42-4706-b552-33a2fbe4472a · outbound

This paper cites Wildfire-Detection Method Using DenseNet and CycleGAN Data Augmentation-Based Remote Camera Imagery.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Wildfire-Detection Method Using DenseNet and CycleGAN Data Augmentation-Based Remote Camera Imagery

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.919790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0ea752d-60c5-4b77-9716-5221f67d53db · outbound

This paper cites Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.926058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e842055-e31e-42d6-b65d-b9587f450329 · outbound

This paper cites Cyclone Damage Detection on Building Structures from Pre- and Post-Satellite Images Using Wavelet Based Pattern Recognition.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Cyclone Damage Detection on Building Structures from Pre- and Post-Satellite Images Using Wavelet Based Pattern Recognition

Reference 17

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.587403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 863b4e13-011e-4cb2-87c7-ad04c2cf95ab · outbound

This paper cites FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.932862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 168f5db3-982d-40b1-8626-bc8e96317eae · outbound

This paper cites Using Artificial Neural Network Models to Assess Hurricane Damage through Transfer Learning.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Using Artificial Neural Network Models to Assess Hurricane Damage through Transfer Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.939448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9c1f98b-0016-40c0-bc5f-6d2fbdbd5ba3 · outbound

This paper cites Infrastructure Performance Prediction under Climate-Induced Disasters Using Data Analytics.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Infrastructure Performance Prediction under Climate-Induced Disasters Using Data Analytics

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.945676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b943def-4fbb-4d2d-8f79-6cc89c752746 · outbound

This paper cites Crisis Analytics: Big Data-Driven Crisis Response.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Crisis Analytics: Big Data-Driven Crisis Response

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:04.820949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f5218116-4426-45f2-bcfa-a3dcd1059f37 · outbound

This paper cites Data-Driven Techniques in Disaster Information Management.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Data-Driven Techniques in Disaster Information Management

Reference 23

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.544011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ef1d638d-ec04-45c6-a7b1-1c0d5f2f4d0e · outbound

This paper cites Machine Learning Algorithms in Civil Structural Health Monitoring: A Systematic Review.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Machine Learning Algorithms in Civil Structural Health Monitoring: A Systematic Review

Reference 25

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.472546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation be9e4eac-9935-4ec7-8d08-34d137db5e13 · outbound

This paper cites Mapping Canopy Damage from Understory Fires in Amazon Forests Using Annual Time Series of Landsat and MODIS Data.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Mapping Canopy Damage from Understory Fires in Amazon Forests Using Annual Time Series of Landsat and MODIS Data

Reference 26

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.461704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 899ab332-1ef8-49e2-b8a1-df30fcfac626 · outbound

This paper cites Predicting Forest Fire in the Brazilian Amazon Using MODIS Imagery and Artificial Neural Networks.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Predicting Forest Fire in the Brazilian Amazon Using MODIS Imagery and Artificial Neural Networks

Reference 27

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.451082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d1ebef1b-4d3c-4bd8-a0f3-60e210d609b8 · outbound

This paper cites The Role of Unstructured Data in Real-Time Disaster-Related Social Media Monitoring.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques The Role of Unstructured Data in Real-Time Disaster-Related Social Media Monitoring

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.977756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 570c298e-c7f9-486b-a2e8-018e2879cce0 · outbound

This paper cites E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:04.811114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fe7975ee-e302-4924-94eb-495b397bcba0 · outbound

This paper cites Natural Disasters Detection in Social Media and Satellite Imagery: A Survey.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Natural Disasters Detection in Social Media and Satellite Imagery: A Survey

Reference 31

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.426505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a877d54c-90e1-4c93-a622-4696c5f98ea8 · outbound

This paper cites Conditional Generative Adversarial Networks (CGAN) for Abnormal Vibration of Aero Engine Analysis.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Conditional Generative Adversarial Networks (CGAN) for Abnormal Vibration of Aero Engine Analysis

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.989837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcd0023e-5b45-4c3f-be6a-72573145f792 · outbound

This paper cites an unresolved cited work.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 33

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.555985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 68bd8105-7295-492a-839f-351fbc2d73fc · outbound

This paper cites Opportunities and Challenges of Generative AI in Construction Industry: Focusing on Adoption of Text-Based Models.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Opportunities and Challenges of Generative AI in Construction Industry: Focusing on Adoption of Text-Based Models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:04.800467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d9eb142f-92eb-461e-bd76-a92738e516d4 · outbound

This paper cites Image Super-Resolution Using Deep Convolutional Networks.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Image Super-Resolution Using Deep Convolutional Networks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.002764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e2dde5d-54a6-4903-a2cc-318918ec1da6 · outbound

This paper cites SenseGen: A Deep Learning Architecture for Synthetic Sensor Data Generation.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques SenseGen: A Deep Learning Architecture for Synthetic Sensor Data Generation

Reference 36

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T22:03:04.359824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 65e5e9ef-dbaa-446b-9f7c-464908b38230 · outbound

This paper cites an unresolved cited work.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:03:04.790851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 46db109a-a3df-4efa-ac4d-a6d1f3787090 · outbound

This paper cites Investigation of Flash Floods on Early Basis: A Factual Comprehensive Review.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Investigation of Flash Floods on Early Basis: A Factual Comprehensive Review

Reference 38

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T22:03:04.296765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bc72a6c9-cdcf-450e-b8a6-1ce326f1c569 · outbound

This paper cites Advanced Damage Detection Techniques in Historical Buildings Using Digital Photogrammetry and 3D Surface Anlysis.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Advanced Damage Detection Techniques in Historical Buildings Using Digital Photogrammetry and 3D Surface Anlysis

Reference 39

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.408496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 17b33c9c-c2c2-4f41-8164-ce865f1665d3 · outbound

This paper cites Artificial Intelligence for Speech Recognition Based on Neural Networks.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Artificial Intelligence for Speech Recognition Based on Neural Networks

Reference 41

Resolution: verified exact; raw_fallback, observed 2026-08-15T22:03:04.230837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6ded07cd-5d7a-408f-95de-5f92d0a777a3 · outbound

This paper cites Deepfakes, Misinformation and Disinformation and Authenticity Infrastructure Responses: Impacts on Frontline Witnessing, Distant Witnessing, and Civic Journalism.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Deepfakes, Misinformation and Disinformation and Authenticity Infrastructure Responses: Impacts on Frontline Witnessing, Distant Witnessing, and Civic Journalism

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.021756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05e9c963-568d-4635-9348-9318af7c6a09 · outbound

This paper cites an unresolved cited work.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 43

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.438408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2a1fd3aa-65e7-4601-9ff3-b30a5ca3d6df · outbound

This paper cites A Survey of Detection and Mitigation for Fake Images on Social Media Platforms.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques A Survey of Detection and Mitigation for Fake Images on Social Media Platforms

Reference 44

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.391949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 29c247ac-a3b6-46a2-b34e-3172c66895be · outbound

This paper cites Digital Media and Misinformation: An Outlook on Multidisciplinary Strategies against Manipulation.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Digital Media and Misinformation: An Outlook on Multidisciplinary Strategies against Manipulation

Reference 45

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.381158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1cab4440-e182-45ef-b6f6-6e4f8fb9faf0 · outbound

This paper cites Flood Vulnerability Assessment of Urban Buildings Based on Integrating High-Resolution Remote Sensing and Street View Images.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Flood Vulnerability Assessment of Urban Buildings Based on Integrating High-Resolution Remote Sensing and Street View Images

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.992897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dd788b6-19ab-4208-849d-05220f7c41bc · outbound

This paper cites Image Forgery Detection: A Survey of Recent Deep-Learning Approaches.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Image Forgery Detection: A Survey of Recent Deep-Learning Approaches

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.038324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4781e3aa-d167-4649-8efc-631ba0059ace · outbound

This paper cites Intriguing properties of neural networks.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Intriguing properties of neural networks

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.041761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 692e5159-79df-48f1-87f8-fae1128f62c8 · outbound

This paper cites Explainable Artificial Intelligence (XAI): What We Know and What Is Left to Attain Trustworthy Artificial Intelligence.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Explainable Artificial Intelligence (XAI): What We Know and What Is Left to Attain Trustworthy Artificial Intelligence

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.048487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7a320b5-76e7-48e3-823e-31396ff7415d · outbound

This paper cites Multi-Scale Spatial Pyramid Attention Mechanism for Image Recognition: An Effective Approach.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Multi-Scale Spatial Pyramid Attention Mechanism for Image Recognition: An Effective Approach

Reference 50

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T22:03:03.978225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2824cce7-0419-4971-8936-1283a1d8ba81 · outbound

This paper cites Differential Privacy.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Differential Privacy

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.054740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94b4ef81-e526-4556-8cd5-dc92bfe3a5f7 · outbound

This paper cites Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.058207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6937cf41-4e9a-4d47-ba0d-5021e4c81256 · outbound

This paper cites Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:04.781308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b5c47a68-2a72-4411-8987-732e7e947ace · outbound

This paper cites Improved Wavelet-Based Watermarking through Pixel-Wise Masking.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Improved Wavelet-Based Watermarking through Pixel-Wise Masking

Reference 55

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.336893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fd60696c-4307-4534-a341-a09a9f167864 · outbound

This paper cites Image Forgery Detection.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Image Forgery Detection

Reference 56

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T22:03:04.147849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 299dea4a-a150-4889-b9cf-e2fbb6e50bc5 · outbound

This paper cites an unresolved cited work.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.848994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5f72d50-fb82-4751-a337-572b47c682d2 · outbound

This paper cites Restricted Boltzmann Machines: Introduction and Review.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Restricted Boltzmann Machines: Introduction and Review

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.080801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db0832ef-dcc0-44e5-9be9-a0a1d3bc0105 · outbound

This paper cites A Visual Model-Based Perceptual Image Hash for Content Authentication.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques A Visual Model-Based Perceptual Image Hash for Content Authentication

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.035106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80a54e25-e3c5-4085-a31c-2ec7ee53cafa · outbound

This paper cites The research confirmed that GAN-generated synthetic data were able to efficiently enhance wildfire detection accuracy.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques The research confirmed that GAN-generated synthetic data were able to efficiently enhance wildfire detection accuracy

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.852703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52e57203-3130-433a-b562-23312a69d344 · outbound

This paper cites Random Forests.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Random Forests

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.098342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bde1d166-2140-4574-b4f5-d44faa2f001f · outbound

This paper cites an unresolved cited work.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.064722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20876419-dd7a-4fc1-b539-7ae93fd9aeb0 · outbound

This paper cites Cryptography and network security: principles and practice.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Cryptography and network security: principles and practice

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:04.771291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cfea60a4-e4ad-4f81-9d2a-1563535a105b · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.074174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b21640b2-42f1-452d-9f66-6d5ea6b06a77 · outbound

This paper cites (ed.), Musson, R., Schwarz, J., Stucchi, M.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques (ed.), Musson, R., Schwarz, J., Stucchi, M

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:04.761683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 416cc3bb-9edf-42b3-90e5-de51079e5b2a · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.091212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6bcfb24-6f20-4815-8a72-ea793423a68b · outbound

This paper cites Deep Residual Learning for Image Recognition.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Deep Residual Learning for Image Recognition

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.094615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a0f1e54-ffef-4bff-bb65-afacacad8a2b · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.109271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99c70c10-037c-45db-9a19-7f5b65376ae7 · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.112847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c32ca0fc-2b75-4a05-be76-0a179f55fba0 · outbound

This paper cites Enhanced Deep Residual Networks for Single Image Super-Resolution.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Enhanced Deep Residual Networks for Single Image Super-Resolution

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.116546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cb04873-78d3-4a77-84c3-707fc0e92e0e · outbound

This paper cites Image Super-Resolution Using Very Deep Residual Channel Attention Networks.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Image Super-Resolution Using Very Deep Residual Channel Attention Networks

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.119822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cb2b432-c508-4b33-97c6-b4d940cc77a9 · outbound

This paper cites You Only Look Once: Unified, Real-Time Object Detection.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques You Only Look Once: Unified, Real-Time Object Detection

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.123300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 432bb4ee-79f4-43a3-b524-7f0777808001 · outbound

This paper cites Mel Frequency Cepstral Coefficient and Its Applications: A Review.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Mel Frequency Cepstral Coefficient and Its Applications: A Review

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.126796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 659c9ff2-876d-4179-80bc-c1b67ba2dfe0 · outbound

This paper cites A Unified Approach to Interpreting Model Predictions.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques A Unified Approach to Interpreting Model Predictions

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.136652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2dece64-bf92-4bb2-9345-df895c3208e0 · outbound

This paper cites "Why Should I Trust You?": Explaining the Predictions of Any Classifier.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques "Why Should I Trust You?": Explaining the Predictions of Any Classifier

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.140406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0394ccac-1f91-46ee-8641-9a17ddd27192 · outbound

This paper cites Graph Neural Networks: A Review of Methods and Applications.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Graph Neural Networks: A Review of Methods and Applications

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.143931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccb91749-3be0-4341-a5ce-46369d1d9ef2 · outbound

This paper cites Geographic Information Systems: Applications and Research Opportunities for Information Systems Researchers.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Geographic Information Systems: Applications and Research Opportunities for Information Systems Researchers

Reference 92

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T22:03:03.778368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bca99c82-f1c2-40b1-8063-202b9be12e6f · outbound

This paper cites A Survey of Natural Language Generation.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques A Survey of Natural Language Generation

Reference 93

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:03:03.186237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 562ef336-5a76-4827-b64d-020783c48a63 · outbound

This paper cites an unresolved cited work.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 160

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.694109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 331c9af9-8fca-4d47-8c72-f4c45480a939 · outbound

This paper cites an unresolved cited work.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 220

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.999356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2b0e13e-10ec-438b-82db-10ab7bd1c57c · outbound

This paper cites an unresolved cited work.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 1466

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.565782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 897c5001-c81b-431c-be41-56481c5778b9 · outbound

This paper cites Greedy Function Approximation: A Gradient Boosting Machine.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Greedy Function Approximation: A Gradient Boosting Machine

Reference 2001

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.106135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f67a554b-d0ec-468b-975d-e1895c94eae5 · outbound

This paper cites Intriguing properties of neural networks.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Intriguing properties of neural networks

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.044933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d4b95aa-a341-49bb-824e-ea027db5eca2 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.077584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd549145-ae76-4595-8af5-d34db0e12c27 · outbound

This paper cites XGBoost: A Scalable Tree Boosting System.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques XGBoost: A Scalable Tree Boosting System

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.102369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6435760d-5292-4087-80af-1bff1b1e72a0 · outbound

This paper cites Neural Discrete Representation Learning.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Neural Discrete Representation Learning

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.912895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c369a032-fd65-46a3-ac01-4e84918e2cfb · outbound

This paper cites Restricted Boltzmann Machines: Introduction and Review.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Restricted Boltzmann Machines: Introduction and Review

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.084398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b84eb70-3157-4324-b623-1cc1c8069edc · outbound

This paper cites An Introduction to Variational Autoencoders.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques An Introduction to Variational Autoencoders

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.860008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19c29cf2-942e-4850-94ad-53cc20c50094 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.129827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df871b72-044c-4ce7-805b-7f9efdc5ea6d · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:03.132902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3221c6d-8f39-4fde-bde0-2e19804ade52 · outbound

This paper cites an unresolved cited work.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.958846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92c0a131-e9c8-4afe-b22c-7c8aec4a4a95 · outbound

This paper cites an unresolved cited work.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.916796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f20df3f9-df65-40bd-8fe1-bc17cac0952a · outbound

This paper cites an unresolved cited work.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 2025

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.576393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 300f1079-c097-4913-8c63-57cf8390f7ed · outbound

This paper cites an unresolved cited work.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 2638

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.629360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b84ec9b1-5c4f-400f-9384-fd2d4c2932db · outbound

This paper cites an unresolved cited work.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 3255

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.659566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b9aa46e4-0227-464c-8a03-d4f25219b612 · outbound

This paper cites an unresolved cited work.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 3715

Resolution: verified exact; doi, observed 2026-08-15T22:03:03.604091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d451ec2c-66cf-481c-99e5-70afd501c0e3 · outbound

This paper cites an unresolved cited work.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 6442

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:02.909707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers