SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life | Paper Citation Record

Observation 9bac0226-a81a-4d12-bc35-3c1d9ec53fa5 · outbound

This paper cites Internet of things-iot: Definition, char- acteristics, architecture, enabling technologies, application & future challenges,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Internet of things-iot: Definition, char- acteristics, architecture, enabling technologies, application & future challenges,

Reference 1

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Observation e1b7a8b8-7230-44c9-9e86-d78e5d3a605b · outbound

This paper cites A survey on stan- dards for interoperability and security in the internet of things,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life A survey on stan- dards for interoperability and security in the internet of things,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.544182Z

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Observation 7bddd1c6-cb54-4f3c-9a8e-2c673d623e63 · outbound

This paper cites Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias

Reference 3

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Observation 91b1c5f8-2418-4a65-8650-a129570fb9ea · outbound

This paper cites Scaling data-driven robotics with reward sketching and batch reinforcement learning.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Scaling data-driven robotics with reward sketching and batch reinforcement learning

Reference 4

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Observation 606b6a0a-6553-4b41-82c7-4ba7527878a4 · outbound

This paper cites A survey on learning-based robotic grasping,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life A survey on learning-based robotic grasping,

Reference 5

Resolution: verified exact; doi, observed 2026-08-08T10:11:53.626587Z

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Observation 9b393c31-2bb6-4fd0-987c-002975ce78c1 · outbound

This paper cites A data-driven review of soft robotics,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life A data-driven review of soft robotics,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.528242Z

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Observation fec16bb7-3020-48f6-b94f-365cd814f4c6 · outbound

This paper cites Soft sensor development and applications based on lstm in deep neural networks,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Soft sensor development and applications based on lstm in deep neural networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.511570Z

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Observation 7f29f219-e651-406d-b9a0-db2fc0bb5543 · outbound

This paper cites Soft sensor validation for monitor- ing and resilient control of sequential subway indoor air quality through memory-gated recurrent neural networks-based autoencoders,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Soft sensor validation for monitor- ing and resilient control of sequential subway indoor air quality through memory-gated recurrent neural networks-based autoencoders,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.497363Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2232152-d509-43f2-9c12-580b1caad4ca · outbound

This paper cites Soft sensor transferability: A survey,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Soft sensor transferability: A survey,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.482578Z

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Observation e95d2533-0a72-4d52-bc1c-ec53ce0444c5 · outbound

This paper cites A survey on deep learning for data-driven soft sensors,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life A survey on deep learning for data-driven soft sensors,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.467725Z

Source-reported events for the cited work

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Observation d2881387-bf03-484e-a966-f2e2c4572b63 · outbound

This paper cites A tinyml soft-sensor approach for low-cost detection and monitoring of vehicular emissions,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life A tinyml soft-sensor approach for low-cost detection and monitoring of vehicular emissions,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.452879Z

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Observation 78817db0-a5f2-4a5f-9941-0d4cbef965b5 · outbound

This paper cites Long Short-Term Memory,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Long Short-Term Memory,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T10:11:53.323575Z

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Observation 140ded57-5b33-4490-a202-b9b936f48f6a · outbound

This paper cites On the properties of neural machine translation: Encoder-decoder approaches,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life On the properties of neural machine translation: Encoder-decoder approaches,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.427057Z

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Observation 7c49cb42-1aa4-4132-8474-076e1aa9cc45 · outbound

This paper cites Phased lstm: Accelerating recurrent network training for long or event-based sequences,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Phased lstm: Accelerating recurrent network training for long or event-based sequences,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.412112Z

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Observation e1f4005e-f2dd-4305-b829-b64afc459e29 · outbound

This paper cites Attention Is All You Need.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Attention Is All You Need

Reference 15

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Observation 290fcbc0-9674-4b5d-bf38-1f463e8d9423 · outbound

This paper cites Reformer: The Efficient Transformer.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Reformer: The Efficient Transformer

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T10:11:53.350097Z

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Observation 67bed74c-04fb-456b-a4b8-e4c861c5d4c1 · outbound

This paper cites Rethinking attention with performers,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Rethinking attention with performers,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.396580Z

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Observation 5f2feb2b-d84c-4129-8321-214e4bbaa6f1 · outbound

This paper cites Smart home systems based on internet of things,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Smart home systems based on internet of things,

Reference 18

Resolution: verified exact; doi, observed 2026-08-08T10:11:53.610321Z

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Observation fb1bcd38-864b-45c1-aea0-f623cf5bebeb · outbound

This paper cites RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data Cleaning.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data Cleaning

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-08T10:11:53.937943Z

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Observation 314fe928-166c-48da-8876-5e7e5fcc2c13 · outbound

This paper cites C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-08T10:11:53.914237Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4e8f5bb9-8549-4fab-8d3c-e4207c14b18f · outbound

This paper cites Efficient LSTM training with eligibility traces,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Efficient LSTM training with eligibility traces,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.380868Z

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Observation 9dade6d2-0f9d-4bed-9029-fdca860fc241 · outbound

This paper cites Energy-efficient lstm inference accelerator for real-time causal prediction,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Energy-efficient lstm inference accelerator for real-time causal prediction,

Reference 22

Resolution: verified exact; doi, observed 2026-08-08T10:11:53.594531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 052331e3-b8e4-4ddf-8353-830bf1e299c2 · outbound

This paper cites Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Reference 23

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Observation ab938881-35dd-4896-9456-b24037b6175f · outbound

This paper cites Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.364107Z

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Observation 885e061c-7c5e-4390-b3ad-d9f9ea3f5ae6 · outbound

This paper cites EcoFormer: Energy-Saving Attention with Linear Complexity.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life EcoFormer: Energy-Saving Attention with Linear Complexity

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-08T10:11:53.873799Z

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Observation 2ff5e876-ac3c-4914-976c-c750f238c0bd · outbound

This paper cites Transformer Hawkes Process.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Transformer Hawkes Process

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T10:11:53.402683Z

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Observation a662c9f2-9a1e-4f9d-916f-8f963f607899 · outbound

This paper cites Ensembles for time series forecasting,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Ensembles for time series forecasting,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.347927Z

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Observation 1771e2a1-a841-4b81-927f-ece2b8fde58b · outbound

This paper cites Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.332208Z

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Observation 9cedaff5-6048-4aa0-bc05-af4cb3d2ce3e · outbound

This paper cites A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-08T10:11:53.834288Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5dc4f1ab-f9ee-4f7a-a3b4-470e3edb626c · outbound

This paper cites Ensemble learning- based modeling and short-term forecasting algorithm for time series with small sample,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Ensemble learning- based modeling and short-term forecasting algorithm for time series with small sample,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.317059Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7a6c75d6-e288-4fd9-8c1d-1872b03cfa87 · outbound

This paper cites Feature-weighted stacking for nonsea- sonal time series forecasts: A case study of the COVID-19 epidemic curves,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Feature-weighted stacking for nonsea- sonal time series forecasts: A case study of the COVID-19 epidemic curves,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.301826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0222a0d2-2030-432b-b14d-b176b4c36afc · outbound

This paper cites A hybrid gpu-fpga based design methodology for enhancing machine learning applications performance,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life A hybrid gpu-fpga based design methodology for enhancing machine learning applications performance,

Reference 32

Resolution: verified exact; doi, observed 2026-08-08T10:11:53.578336Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2c7a1173-57a4-4cab-940c-b76220fa864a · outbound

This paper cites Tinyml- enabled edge implementation of transfer learning framework for domain generalization in machine fault diagnosis,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Tinyml- enabled edge implementation of transfer learning framework for domain generalization in machine fault diagnosis,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.287046Z

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Observation f2a6b16d-bec4-43fc-8e7e-e9f5e3a0e152 · outbound

This paper cites Tensorflow lite micro: Embedded machine learning on tinyml systems,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Tensorflow lite micro: Embedded machine learning on tinyml systems,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.271874Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e86a78aa-8a7e-4171-8df3-66f463053845 · outbound

This paper cites An opencl(tm) deep learning accelerator on arria 10,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life An opencl(tm) deep learning accelerator on arria 10,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.256832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ad96b581-38ad-4081-9d9c-3ae08dd881f9 · outbound

This paper cites Sensorformer: Efficient many- to-many sensor calibration with learnable input subsampling,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Sensorformer: Efficient many- to-many sensor calibration with learnable input subsampling,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.241728Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c7b7e70c-7471-4c1f-9865-332434131042 · outbound

This paper cites Smart plants: Low-cost solution for monitoring indoor environments,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Smart plants: Low-cost solution for monitoring indoor environments,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.226178Z

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Observation 55cebc77-f0a0-4630-bd9f-72e12e3e0f1a · outbound

This paper cites Predict- ing low-cost gas sensor readings from transients using long short-term memory neural networks,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Predict- ing low-cost gas sensor readings from transients using long short-term memory neural networks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.210543Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 67d97b8b-c0e4-458b-9207-353dbaafb368 · outbound

This paper cites Low-cost co sensor calibration using one dimensional convolutional neural network,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Low-cost co sensor calibration using one dimensional convolutional neural network,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.192816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation db439578-c8e5-431a-bc3e-2415453980eb · outbound

This paper cites Two step calibration method for ozone low-cost sensor: Field experiences with the urbansense dcus,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Two step calibration method for ozone low-cost sensor: Field experiences with the urbansense dcus,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.176549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3521e22e-6ea1-4883-af73-b4a3b6a7fd7a · outbound

This paper cites Is smarter better? a comparison of adaptive, and simple moving average trading strategies,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Is smarter better? a comparison of adaptive, and simple moving average trading strategies,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.161278Z

Source-reported events for the cited work

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Observation 304da5e6-b6e0-4d68-a034-4deb74caaab8 · outbound

This paper cites Postwar u.s. business cycles: An empirical investigation,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Postwar u.s. business cycles: An empirical investigation,

Reference 42

Resolution: verified exact; raw_fallback, observed 2026-08-08T10:11:53.811795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a3ab978-5f16-432e-949a-bece35c43966 · outbound

This paper cites Rectifier nonlinearities improve neural network acoustic models,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Rectifier nonlinearities improve neural network acoustic models,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.146010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 659b7d7f-a675-4104-a88b-d0fcdf5c0c3d · outbound

This paper cites Low-cost outdoor air quality monitoring and sensor calibration: A survey and critical analysis,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Low-cost outdoor air quality monitoring and sensor calibration: A survey and critical analysis,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.130070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4fde7935-da51-48bd-a21a-7a39e17642c8 · outbound

This paper cites Field evaluation of low-cost particulate matter sensors in high- and low-concentration environments,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Field evaluation of low-cost particulate matter sensors in high- and low-concentration environments,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.113504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 671ed634-5b59-4ec4-b65a-9c89a3729e54 · outbound

This paper cites Long-term field comparison of multiple low-cost particulate matter sensors in an outdoor urban environment,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Long-term field comparison of multiple low-cost particulate matter sensors in an outdoor urban environment,

Reference 46

Resolution: verified exact; doi, observed 2026-08-08T10:11:53.560456Z

Source-reported events for the cited work

correction dated 2020-10-13. Source: crossref record 10.1038/s41598-020-74312-5->10.1038/s41598-019-43716-3:correction, observed 2026-07-11T02:56:17.030019+00:00. This notice travels one citation hop only.

Observation e1b7c86b-5d0a-425f-b2ec-4294530acd86 · outbound

This paper cites A review of low-cost particulate matter sensors from the developers’ perspectives,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life A review of low-cost particulate matter sensors from the developers’ perspectives,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.098687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9ff52c8a-521c-4ef6-8e65-cbe6964181a5 · outbound

This paper cites an unresolved cited work.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-08T10:11:54.084852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ef006b82-079a-4790-a550-dc93b9f971db · outbound

This paper cites Machine learning for fore- casting mid-price movements using limit order book data,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Machine learning for fore- casting mid-price movements using limit order book data,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.070087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation de82aedb-8039-4e01-bab4-2ace49d1b87b · outbound

This paper cites Rmse is not enough: Guidelines to robust data-model comparisons for magnetospheric physics,.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Rmse is not enough: Guidelines to robust data-model comparisons for magnetospheric physics,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:11:54.053273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 78b38eff-188e-46a3-a387-e66f1e6d7070 · outbound

This paper cites On the Properties of Neural Machine Translation: Encoder-Decoder Approaches.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life On the Properties of Neural Machine Translation: Encoder-Decoder Approaches

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-08T10:11:53.334498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aebce5fd-9a74-419b-8f94-f60977c44be7 · outbound

This paper cites Rethinking Attention with Performers.

SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life Rethinking Attention with Performers

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-08T10:11:53.359941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers