Optimized CNNs for Rapid 3D Point Cloud Object Recognition | Paper Citation Record

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This paper cites Johnson, Jonathan Sprinkle, and Meiyi Ma.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Johnson, Jonathan Sprinkle, and Meiyi Ma

Reference 1

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This paper cites The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 2

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This paper cites Anomaly detec- tion in 3d point clouds using deep geometric descrip- tors.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Anomaly detec- tion in 3d point clouds using deep geometric descrip- tors

Reference 3

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This paper cites Expectedfile-deliverytimeofdtnprotocolover asymmetric space internetwork channels.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Expectedfile-deliverytimeofdtnprotocolover asymmetric space internetwork channels

Reference 4

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This paper cites Complementary pseudo multimodal feature for point cloud anomaly detection.Pattern Recognition, 156:110761, 2024.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Complementary pseudo multimodal feature for point cloud anomaly detection.Pattern Recognition, 156:110761, 2024

Reference 5

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This paper cites Convolutional neural network (cnn) for im- agedetectionandrecognition.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Convolutional neural network (cnn) for im- agedetectionandrecognition

Reference 6

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This paper cites VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation

Reference 7

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This paper cites Enhancing visual question answer- ing through ranking-based hybrid training and mul- timodal fusion.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Enhancing visual question answer- ing through ranking-based hybrid training and mul- timodal fusion

Reference 8

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This paper cites Few-shot Name Entity Recognition on StackOverflow.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Few-shot Name Entity Recognition on StackOverflow

Reference 9

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This paper cites Mix of Experts Language Model for Named Entity Recognition.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Mix of Experts Language Model for Named Entity Recognition

Reference 10

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This paper cites Modeling and simulation of dna origami based elec- tronic read-only memory.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Modeling and simulation of dna origami based elec- tronic read-only memory

Reference 11

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This paper cites Performance analysis of dna crossbar arrays for high- densitymemorystorageapplications.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Performance analysis of dna crossbar arrays for high- densitymemorystorageapplications

Reference 12

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This paper cites Overview of the ransac algorithm.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Overview of the ransac algorithm

Reference 13

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This paper cites The design of autonomous uav proto- types for inspecting tunnel construction environment.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition The design of autonomous uav proto- types for inspecting tunnel construction environment

Reference 14

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This paper cites Automatic detection of cerebral microbleeds from mr images via 3d convolutional neural networks.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Automatic detection of cerebral microbleeds from mr images via 3d convolutional neural networks

Reference 15

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This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition A density-based algorithm for discovering clusters in large spatial databases with noise

Reference 16

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This paper cites An image detection technique based on morphologi- cal edge detection and background differencing for real-time traffic analysis.Pattern Recognition Letters, 16(12):1321–1330, 1995.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition An image detection technique based on morphologi- cal edge detection and background differencing for real-time traffic analysis.Pattern Recognition Letters, 16(12):1321–1330, 1995

Reference 17

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This paper cites Random sam- pleconsensus: aparadigmformodelfittingwithappli- cations to image analysis and automated cartography.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Random sam- pleconsensus: aparadigmformodelfittingwithappli- cations to image analysis and automated cartography

Reference 18

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This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 19

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This paper cites Research on empirical correction models of gps block iif and bds satellite inter-frequency clock bias.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Research on empirical correction models of gps block iif and bds satellite inter-frequency clock bias

Reference 20

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This paper cites Graphical Structural Learning of rs-fMRI data in Heavy Smokers.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Graphical Structural Learning of rs-fMRI data in Heavy Smokers

Reference 21

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This paper cites Sparse 3D convolutional neural networks.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Sparse 3D convolutional neural networks

Reference 22

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This paper cites Spatially-sparse convolutional neural networks.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Spatially-sparse convolutional neural networks

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This paper cites Deep residual learning for image recognition.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Deep residual learning for image recognition

Reference 24

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This paper cites Backtothefeature: classical 3d features are (almost) all you need for 3d anomaly detection.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Backtothefeature: classical 3d features are (almost) all you need for 3d anomaly detection

Reference 25

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This paper cites Relation networks for object detection.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Relation networks for object detection

Reference 26

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This paper cites 11 IECE T ransactions on Internet of Things Risk analysis in customer relationship management viaqrcnn-lstmandcross-attentionmechanism.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition 11 IECE T ransactions on Internet of Things Risk analysis in customer relationship management viaqrcnn-lstmandcross-attentionmechanism

Reference 27

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This paper cites Learning sparse high dimensional filters: Image fil- tering, dense crfs and bilateral neural networks.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Learning sparse high dimensional filters: Image fil- tering, dense crfs and bilateral neural networks

Reference 28

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Observation 1e04b3e1-7e71-41d6-b935-327412e061d5 · outbound

This paper cites Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient

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This paper cites Du- alvd: An adaptive dual encoding model for deep vi- sual understanding in visual dialogue.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Du- alvd: An adaptive dual encoding model for deep vi- sual understanding in visual dialogue

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This paper cites Dbscan: Past, present and future.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Dbscan: Past, present and future

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Optimized CNNs for Rapid 3D Point Cloud Object Recognition Imagenet classification with deep convolutional neuralnetworks

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Observation baa7d623-2944-4a40-9f1f-fb62af496fa6 · outbound

This paper cites Traffic smoothing via connected & automated vehicles: A modular, hierarchical control design deployed in a 100-cav flow smoothing experiment.IEEE Control Sys- tems Magazine, 2024.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Traffic smoothing via connected & automated vehicles: A modular, hierarchical control design deployed in a 100-cav flow smoothing experiment.IEEE Control Sys- tems Magazine, 2024

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This paper cites Vehicle Detection from 3D Lidar Using Fully Convolutional Network.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Vehicle Detection from 3D Lidar Using Fully Convolutional Network

Reference 34

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This paper cites Deep Reinforcement Learning-based Obstacle Avoidance for Robot Movement in Warehouse Environments.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Deep Reinforcement Learning-based Obstacle Avoidance for Robot Movement in Warehouse Environments

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Observation 241fcbf6-7b02-4421-bf91-f06bc4b6a29c · outbound

This paper cites Optimizing automated picking systems in warehouse robots using machine learning.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Optimizing automated picking systems in warehouse robots using machine learning

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This paper cites LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting

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This paper cites Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

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This paper cites Dsem- nerf: Multimodalfeaturefusionandglobal-localatten- tion for enhanced 3d scene reconstruction.Information Fusion, page 102752, 2024.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Dsem- nerf: Multimodalfeaturefusionandglobal-localatten- tion for enhanced 3d scene reconstruction.Information Fusion, page 102752, 2024

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Optimized CNNs for Rapid 3D Point Cloud Object Recognition Unresolved cited work

Reference 40

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Observation 1e65cd42-9d03-448a-b2c3-9fe7d0f06783 · outbound

This paper cites TD3 Based Collision Free Motion Planning for Robot Navigation.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition TD3 Based Collision Free Motion Planning for Robot Navigation

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This paper cites Eitnet: An iot-enhanced framework for real-time bas- ketball action recognition.Alexandria Engineering Jour- nal, 110:567–578, 2025.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Eitnet: An iot-enhanced framework for real-time bas- ketball action recognition.Alexandria Engineering Jour- nal, 110:567–578, 2025

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Observation 9c65da50-0d93-4b67-b6f9-268d2724b7c8 · outbound

This paper cites Real-time monitor- ing of lower limb movement resistance based on deep learning.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Real-time monitor- ing of lower limb movement resistance based on deep learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:30.386631Z

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Observation 09b7e794-b90d-47ef-a882-60f592f74d8b · outbound

This paper cites Fleet rebalancing for expanding shared e- mobility systems: A multi-agent deep reinforcement learning approach.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Fleet rebalancing for expanding shared e- mobility systems: A multi-agent deep reinforcement learning approach

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:30.366201Z

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This paper cites 3d convolu- tionalneuralnetworksforlandingzonedetectionfrom lidar.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition 3d convolu- tionalneuralnetworksforlandingzonedetectionfrom lidar

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Observation a1e9bcdc-a6b5-4290-b05f-595761668791 · outbound

This paper cites Voxnet: A 3d convolutional neural network for real-time object recognition.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Voxnet: A 3d convolutional neural network for real-time object recognition

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:30.307235Z

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Observation 281248af-c662-41fb-90f9-838ca5554f47 · outbound

This paper cites 3d object detection with pointformer.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition 3d object detection with pointformer

Reference 47

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Observation 485aa47d-d7ce-4756-ad69-6d8dbb053314 · outbound

This paper cites Maxk-gnn: Extremely fast gpu kernel design for accelerating graph neural net- works training.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Maxk-gnn: Extremely fast gpu kernel design for accelerating graph neural net- works training

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Observation 9617faa5-b5bf-424b-81ea-a2fbd93fbd6c · outbound

This paper cites Automatic news gen- eration and fact-checking system based on language processing.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Automatic news gen- eration and fact-checking system based on language processing

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:30.182623Z

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Observation 0cf65c2b-9691-4231-abe7-93aef690ea0b · outbound

This paper cites Deep feature learning for knee cartilage segmentation us- ing a triplanar convolutional neural network.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Deep feature learning for knee cartilage segmentation us- ing a triplanar convolutional neural network

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:30.160106Z

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Observation f79df842-08e4-49f3-bebc-4f94f662d703 · outbound

This paper cites Robust domain generalization for multi-modal object recog- nition.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Robust domain generalization for multi-modal object recog- nition

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:30.131581Z

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Observation 713b42e9-d5c2-4863-ac61-35efd838dea5 · outbound

This paper cites IoT-Based 3D Pose Estimation and Motion Optimization for Athletes: Application of C3D and OpenPose.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition IoT-Based 3D Pose Estimation and Motion Optimization for Athletes: Application of C3D and OpenPose

Reference 52

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Observation 5597a049-51da-4fb8-a131-2fcbf2e1ffd5 · outbound

This paper cites Reinforcement learning with com- munication latency with application to stop-and-go wave dissipation.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Reinforcement learning with com- munication latency with application to stop-and-go wave dissipation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:30.108164Z

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Observation fd624495-3c85-49c8-b75e-49583b92b0ec · outbound

This paper cites Asymmetricstudent-teachernetworks for industrial anomaly detection.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Asymmetricstudent-teachernetworks for industrial anomaly detection

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:30.075639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4e1b82f7-3923-4c73-9d78-c016e7fb8be9 · outbound

This paper cites Im- agenet large scale visual recognition challenge.Inter- national journal of computer vision, 115:211–252, 2015.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Im- agenet large scale visual recognition challenge.Inter- national journal of computer vision, 115:211–252, 2015

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:30.040795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 82a5624b-795f-43ad-8476-7f78379bc44d · outbound

This paper cites Fast point feature histograms (fpfh) for 3d registra- tion.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Fast point feature histograms (fpfh) for 3d registra- tion

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:30.001220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f4319f36-1621-4aa7-a895-a18a03cc488f · outbound

This paper cites Harnessing XGBoost for robust biomarker selec- tion of obsessive-compulsive disorder (OCD) from adolescentbraincognitivedevelopment(ABCD)data.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Harnessing XGBoost for robust biomarker selec- tion of obsessive-compulsive disorder (OCD) from adolescentbraincognitivedevelopment(ABCD)data

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.980548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b125caa7-d52b-4af7-a0a9-86687328fe5d · outbound

This paper cites Deep Learning Powered Estimate of The Extrinsic Parameters on Unmanned Surface Vehicles.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Deep Learning Powered Estimate of The Extrinsic Parameters on Unmanned Surface Vehicles

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T23:06:27.526190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb17f1e5-f900-4b74-b367-423eddb43de3 · outbound

This paper cites Multi-gnss satellite clock estimation con- strained with oscillator noise model in the existence of data discontinuity.Journal of Geodesy, 93:515–528, 2019.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Multi-gnss satellite clock estimation con- strained with oscillator noise model in the existence of data discontinuity.Journal of Geodesy, 93:515–528, 2019

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.918831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2fef2e2a-5e8d-4042-900f-b860af29f665 · outbound

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

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Very Deep Convolutional Networks for Large-Scale Image Recognition

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Resolution: unresolved; no resolver link, observed 2026-08-11T23:06:27.547796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee35c0e1-9791-4a48-927a-b0c480d66913 · outbound

This paper cites an unresolved cited work.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:06:29.888529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 245b88c6-806e-4f5f-9a01-dde23b96ce2d · outbound

This paper cites Support vec- tor machine.Machine learning models and algorithms for big data classification: thinking with examples for effective learning, pages 207–235, 2016.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Support vec- tor machine.Machine learning models and algorithms for big data classification: thinking with examples for effective learning, pages 207–235, 2016

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.857260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 04fc72cd-ea4c-4008-8919-07c204c56153 · outbound

This paper cites Real-time Monitoring and Analysis of Track and Field Athletes Based on Edge Computing and Deep Reinforcement Learning Algorithm.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Real-time Monitoring and Analysis of Track and Field Athletes Based on Edge Computing and Deep Reinforcement Learning Algorithm

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T23:06:27.571858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4401ad68-2c5d-49ef-91ff-960b22e27778 · outbound

This paper cites Image anomaly detection and prediction scheme based on SSA optimized ResNet50-BiGRU model.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Image anomaly detection and prediction scheme based on SSA optimized ResNet50-BiGRU model

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T23:06:27.579832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58a13590-f6df-4b97-9f62-aeedd9bf0d13 · outbound

This paper cites Theoretical analysis of meta reinforcement learning: Generalization bounds and convergence guarantees.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Theoretical analysis of meta reinforcement learning: Generalization bounds and convergence guarantees

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.816643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8d5a24af-515c-4908-a7ab-12ad1e3902e1 · outbound

This paper cites Voting for voting in online point cloud object detection.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Voting for voting in online point cloud object detection

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.786675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 272c7a92-57ff-4061-966f-2a72d5dcadf3 · outbound

This paper cites an unresolved cited work.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:06:29.753109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d65754a5-da82-4809-a6ed-346e8f240c1c · outbound

This paper cites Cross-border Commodity Pricing Strategy Optimization via Mixed Neural Network for Time Series Analysis.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Cross-border Commodity Pricing Strategy Optimization via Mixed Neural Network for Time Series Analysis

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Resolution: unresolved; no resolver link, observed 2026-08-11T23:06:27.643819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d94e1c99-25da-4875-b514-26f27b54b5fc · outbound

This paper cites Intelligent design and optimiza- tion of exercise equipment based on fusion algorithm of yolov5-resnet 50.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Intelligent design and optimiza- tion of exercise equipment based on fusion algorithm of yolov5-resnet 50

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.728622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a88818ea-1f22-4080-8f06-674ba9b55ddc · outbound

This paper cites Deeplearning-basedanomalydetectionandlog analysis for computer networks.Journal of Information and Computing, 2(2):34–63, 2024.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Deeplearning-basedanomalydetectionandlog analysis for computer networks.Journal of Information and Computing, 2(2):34–63, 2024

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.708501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation baa52908-ae68-471a-ac1e-5e8f6e3ce13d · outbound

This paper cites Using automated vehicle data as a fitness tracker for sustainability.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Using automated vehicle data as a fitness tracker for sustainability

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.680462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 00ca0974-5198-4d1c-8235-d88921b6b491 · outbound

This paper cites A machine learn- ing approach for accurate and real-time dna sequence identification.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition A machine learn- ing approach for accurate and real-time dna sequence identification

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.644324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 854f8224-03a3-44f0-a496-c70d4b15b68d · outbound

This paper cites Computational study of the role of counterions and solvent dielectric in determining the conductance of b-dna.Physical Review E, 107(4):044404, 2023.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Computational study of the role of counterions and solvent dielectric in determining the conductance of b-dna.Physical Review E, 107(4):044404, 2023

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.612865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 13265524-ca65-4bcd-9f08-2ebabbeb2663 · outbound

This paper cites Classification of dna sequences: Performance evaluation of multiple machine learning methods.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Classification of dna sequences: Performance evaluation of multiple machine learning methods

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.588572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7f2f3d19-ae49-4e2f-b6b7-16e21ac290cc · outbound

This paper cites Performance evaluation of quic with bbr in satellite internet.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Performance evaluation of quic with bbr in satellite internet

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.566572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 66151a9a-242b-46b7-b17f-248b2bd22562 · outbound

This paper cites View-gcn: View- based graph convolutional network for 3d shape anal- ysis.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition View-gcn: View- based graph convolutional network for 3d shape anal- ysis

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.543346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0c804b78-6c20-481d-872e-74842edac67d · outbound

This paper cites Big data and machine learning in defence.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Big data and machine learning in defence

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.496709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4c8e6211-ead3-4eb4-863a-9a229fc135e6 · outbound

This paper cites Leveraging artificial in- telligence to enhance data security and combat cyber attacks.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Leveraging artificial in- telligence to enhance data security and combat cyber attacks

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.464283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 341a207f-13c3-46b9-8e11-4ebcaffaa8a7 · outbound

This paper cites an unresolved cited work.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:06:29.435035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 677c5ed2-1921-4fe2-86af-3ee5e3d245e6 · outbound

This paper cites Comprehensive Overview of Artificial Intelligence Applications in Modern Industries.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Comprehensive Overview of Artificial Intelligence Applications in Modern Industries

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T23:06:27.774696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9917c71e-8fbb-45c0-aa17-28c5c80a449a · outbound

This paper cites an unresolved cited work.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:06:29.387576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5e328ff0-463c-439b-b846-5b9151d8c166 · outbound

This paper cites Accel-gcn: High- performance gpu accelerator design for graph con- volution networks.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Accel-gcn: High- performance gpu accelerator design for graph con- volution networks

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.349603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2c7a2b80-4d91-4c43-b3d1-d816d0a8c5d1 · outbound

This paper cites Dpmpc-planner: A real-time uav trajectory planning framework for complex static environments with dy- namic obstacles.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Dpmpc-planner: A real-time uav trajectory planning framework for complex static environments with dy- namic obstacles

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.320196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7c89cefb-8255-4823-b381-24e9c9d66a7b · outbound

This paper cites Application of deep learning for automatic identifica- tion of hazardous materials and urban safety supervi- sion.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Application of deep learning for automatic identifica- tion of hazardous materials and urban safety supervi- sion

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.281218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 77738575-8faa-4a72-805e-07fbc930a683 · outbound

This paper cites Regional bds satellite clock estimation with triple-frequency ambi- guity resolution based on undifferenced observation.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Regional bds satellite clock estimation with triple-frequency ambi- guity resolution based on undifferenced observation

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.251231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d63c4fc4-1214-4d87-99b8-2cc51b1619ff · outbound

This paper cites Gta-net: An iot-integrated 3dhumanposeestimationsystemforreal-timeadoles- cent sports posture correction.Alexandria Engineering Journal, 112:585–597, 2025.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Gta-net: An iot-integrated 3dhumanposeestimationsystemforreal-timeadoles- cent sports posture correction.Alexandria Engineering Journal, 112:585–597, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.221230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3ab33d35-d793-4f94-9fef-ded3f66315e4 · outbound

This paper cites Wide Residual Networks.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Wide Residual Networks

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-11T23:06:27.831343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6d6c531-4181-4bfb-84b6-4889341c631d · outbound

This paper cites CU-Net: a U-Net architecture for efficient brain-tumor segmentation on BraTS 2019 dataset.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition CU-Net: a U-Net architecture for efficient brain-tumor segmentation on BraTS 2019 dataset

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-11T23:06:27.839849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fa1f278-6602-420c-8ead-40f1ef6d5579 · outbound

This paper cites Deep analysis of time series data for smart grid startup strategies: A transformer-lstm-pso model approach.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Deep analysis of time series data for smart grid startup strategies: A transformer-lstm-pso model approach

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.197115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b9ce59eb-0fb3-42f7-8b41-e14b9139d28a · outbound

This paper cites Identification of Prognostic Biomarkers for Stage III Non-Small Cell Lung Carcinoma in Female Nonsmokers Using Machine Learning.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Identification of Prognostic Biomarkers for Stage III Non-Small Cell Lung Carcinoma in Female Nonsmokers Using Machine Learning

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-11T23:06:27.865604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe3ac454-0a3e-4330-b5d7-711b91ed1ccb · outbound

This paper cites Triz method for urban building energy opti- mization: Gwo-sarima-lstmforecastingmodel.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Triz method for urban building energy opti- mization: Gwo-sarima-lstmforecastingmodel

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.169651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e134bafb-89df-4cae-bb85-f3e773a14c20 · outbound

This paper cites Open3D: A Modern Library for 3D Data Processing.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Open3D: A Modern Library for 3D Data Processing

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-11T23:06:27.889981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af522379-1797-49c2-8032-0ce2cee8db6e · outbound

This paper cites AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-11T23:06:27.902045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae6d8dd3-e17f-4460-9cce-49266f2e8703 · outbound

This paper cites Optimizationofautomatedgarbagerecognitionmodel basedonresnet-50andweaklysupervisedcnnforsus- tainable urban development.Alexandria Engineering Journal, 108:415–427, 2024.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Optimizationofautomatedgarbagerecognitionmodel basedonresnet-50andweaklysupervisedcnnforsus- tainable urban development.Alexandria Engineering Journal, 108:415–427, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.143845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7e368c84-9ddd-4939-8df0-5e00c93b7eae · outbound

This paper cites Fa- cial sentiment classification based on resnet-18 model.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Fa- cial sentiment classification based on resnet-18 model

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.102255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6cda249a-e068-456a-a5ff-fa45aed61a4c · outbound

This paper cites Complex scene under- standing and object detection algorithm assisted by artificial intelligence.Academic Journal of Science and Technology, 12(3):12–15, 2024.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Complex scene under- standing and object detection algorithm assisted by artificial intelligence.Academic Journal of Science and Technology, 12(3):12–15, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.047107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e6f20c0e-7239-48f5-b89d-c3c92f9f19f1 · outbound

This paper cites In Proceedings of the 2020 4th international conference on digital signal processing, pages 155–159, 2020.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition In Proceedings of the 2020 4th international conference on digital signal processing, pages 155–159, 2020

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:29.013105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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