Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation | Paper Citation Record

Observation f061478b-58d5-4f0d-a0c9-8730716b19ab · outbound

This paper cites Electronic nose for black tea classification and correla- tion of measurements with “tea taster.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Electronic nose for black tea classification and correla- tion of measurements with “tea taster

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.882928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 548941e7-3382-4886-905d-d929833f64a2 · outbound

This paper cites A review of the applica- tion of non-intrusive infrared sensing for gas–liquid flow characteriza- tion,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation A review of the applica- tion of non-intrusive infrared sensing for gas–liquid flow characteriza- tion,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.874555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 13cd8910-77b2-400d-aae2-f5a1df9a98ac · outbound

This paper cites Discrimination of different species of dendrobium with an electronic nose using aggregated conformal predictor,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Discrimination of different species of dendrobium with an electronic nose using aggregated conformal predictor,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.865910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7e4e4200-03c5-484a-9993-00c7d19dea80 · outbound

This paper cites Discrimination between alternative herbal medicines from different categories with the electronic nose,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Discrimination between alternative herbal medicines from different categories with the electronic nose,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.857518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9fb92ef0-4bfe-459f-8b5c-a837496e668a · outbound

This paper cites An electronic nose-based assistive diagnostic prototype for lung cancer detection with conformal prediction,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation An electronic nose-based assistive diagnostic prototype for lung cancer detection with conformal prediction,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.848665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7493315e-89aa-4737-81a9-719d77d6fd31 · outbound

This paper cites Application of a low-cost electronic nose for differentiation between pathogenic oomycetes pythium intermedium and phytophthora plurivora,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Application of a low-cost electronic nose for differentiation between pathogenic oomycetes pythium intermedium and phytophthora plurivora,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.840239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5b856e07-af53-4c4a-a9cc-2a63f1827f23 · outbound

This paper cites A low-cost interface to high- value resistive sensors varying over a wide range,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation A low-cost interface to high- value resistive sensors varying over a wide range,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.831914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9d9966c6-308a-47ef-a273-d6b1d0d5bd6b · outbound

This paper cites Developments and applications of electronic nose systems for gas mixtures classification and con- centration estimation,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Developments and applications of electronic nose systems for gas mixtures classification and con- centration estimation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.823556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 34a2911f-7682-4c97-b488-b1560b45e954 · outbound

This paper cites Co, no2 and nox 9 urban pollution monitoring with on-field calibrated electronic nose by automatic bayesian regularization,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Co, no2 and nox 9 urban pollution monitoring with on-field calibrated electronic nose by automatic bayesian regularization,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.815044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 470b2899-7616-4054-bcf9-27bed0adcf72 · outbound

This paper cites Assessment of meat freshness with metal oxide sensor microarray electronic nose: A practical approach,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Assessment of meat freshness with metal oxide sensor microarray electronic nose: A practical approach,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.806623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dafa8e3d-bfcc-43df-a542-7cdb8e678a41 · outbound

This paper cites Portable electronic nose based on electrochemical sensors for food quality assessment,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Portable electronic nose based on electrochemical sensors for food quality assessment,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.797922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 91e5654c-66b0-48c8-9d23-3e56b395690f · outbound

This paper cites Electronic noses for food quality: A review,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Electronic noses for food quality: A review,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.789458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 566cffb0-f8e0-4055-b275-20d3845ab39c · outbound

This paper cites Electronic nose for quality control of colombian coffee through the detection of defects in “cup tests.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Electronic nose for quality control of colombian coffee through the detection of defects in “cup tests

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.780761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation faa84865-910e-4812-b21f-c51a6b5cda17 · outbound

This paper cites Comparison and data fusion of an electronic nose and near-infrared reflectance spectroscopy for the discrimination of ginsengs,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Comparison and data fusion of an electronic nose and near-infrared reflectance spectroscopy for the discrimination of ginsengs,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.772150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d5fc841d-e18a-4927-a00e-3caf29614d4e · outbound

This paper cites Feature engineering in discrimination of herbal medicines from different geo- graphical origins with electronic nose,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Feature engineering in discrimination of herbal medicines from different geo- graphical origins with electronic nose,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.763463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f87caaee-6ec4-484c-92e5-7784416d1551 · outbound

This paper cites Analysis of breath samples for lung cancer survival,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Analysis of breath samples for lung cancer survival,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.754966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f71f119b-a6fe-46da-9aa1-dd6a395cdf8e · outbound

This paper cites On the calibration of sensor arrays for pattern recognition using the minimal number of experiments,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation On the calibration of sensor arrays for pattern recognition using the minimal number of experiments,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.746667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 499328c0-3992-4e6f-9613-dbf2676de47e · outbound

This paper cites Neural, fuzzy and neuro-fuzzy approach for concentration estimation of volatile organic compounds by surface acoustic wave sensor array,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Neural, fuzzy and neuro-fuzzy approach for concentration estimation of volatile organic compounds by surface acoustic wave sensor array,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.738172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d2a8c231-9022-4d4d-b134-d0f17c59cf8d · outbound

This paper cites Online conformal prediction for classifying different types of herbal medicines with electronic nose,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Online conformal prediction for classifying different types of herbal medicines with electronic nose,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.729575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0000751f-0316-4a24-bb33-c06c6d20b16a · outbound

This paper cites Recognition of coffee using differential electronic nose,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Recognition of coffee using differential electronic nose,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.720974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0117020a-308e-4812-a2bf-49349bcc04b1 · outbound

This paper cites Compensation for the drift- like terms caused by environmental fluctuations in the responses of chemoresistive gas sensors,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Compensation for the drift- like terms caused by environmental fluctuations in the responses of chemoresistive gas sensors,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.711994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e23e64d6-abe2-48e8-aa00-4f40a263edfe · outbound

This paper cites Chaotic time series prediction of e-nose sensor drift in embedded phase space,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Chaotic time series prediction of e-nose sensor drift in embedded phase space,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.702878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e571159e-2c1a-4c75-acc9-e595f99ed041 · outbound

This paper cites Brain deformation estimation with transfer learn- ing for head impact datasets across impact types,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Brain deformation estimation with transfer learn- ing for head impact datasets across impact types,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.694368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 530f2fca-8b0f-413f-8e33-e84e50cc68ee · outbound

This paper cites Anti-drift in e-nose: A subspace projection approach with drift reduction,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Anti-drift in e-nose: A subspace projection approach with drift reduction,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.685689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 964527af-2f51-4015-8e2c-0ba63e34239e · outbound

This paper cites Unsupervised cross-user adaptation in taste sensation recognition based on surface electromyography,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Unsupervised cross-user adaptation in taste sensation recognition based on surface electromyography,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.676727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 300475ec-afc3-429d-9104-02ddf0a59a61 · outbound

This paper cites Adaptive machine learning head model across different head impact types using unsupervised domain adaptation and generative adversarial networks,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Adaptive machine learning head model across different head impact types using unsupervised domain adaptation and generative adversarial networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.668084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4e014af5-62fe-4d37-83a2-9a980667f683 · outbound

This paper cites Knowledge distillation for semi- supervised domain adaptation,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Knowledge distillation for semi- supervised domain adaptation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.659167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fee0a63f-2033-4bfb-9056-ca8ea05fdc21 · outbound

This paper cites Boost ai power: Data augmentation strategies with unlabeled data and conformal prediction, a case in alternative herbal medicine discrimination with electronic nose,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Boost ai power: Data augmentation strategies with unlabeled data and conformal prediction, a case in alternative herbal medicine discrimination with electronic nose,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.650407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2a5e5f90-0e88-4d06-bd24-9af647d47c5d · outbound

This paper cites an unresolved cited work.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:03:01.641674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 115db7f6-04f8-45ae-97ac-2b862fad7fa7 · outbound

This paper cites Reliability-enhanced data cleaning in biomedical machine learning using inductive conformal prediction,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Reliability-enhanced data cleaning in biomedical machine learning using inductive conformal prediction,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.633080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e181cb53-b6f4-4446-99be-37994ad7f10c · outbound

This paper cites Gas Sensor Array Drift Dataset,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Gas Sensor Array Drift Dataset,

Reference 31

Resolution: verified exact; doi, observed 2026-08-06T15:03:01.515085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a30812b1-ffe1-4c74-b5e4-6edf78f0bd50 · outbound

This paper cites Chemical gas sensor drift compensation using classifier ensembles,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Chemical gas sensor drift compensation using classifier ensembles,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.623216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e7e7275a-760e-4ab4-b6da-e94f52f1ffe0 · outbound

This paper cites A study of drift effect in a popular metal oxide sensor and gas recognition using public gas datasets,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation A study of drift effect in a popular metal oxide sensor and gas recognition using public gas datasets,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.614144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 378399d7-0240-41ba-acb9-9cd87adb0d75 · outbound

This paper cites Drift in a popular metal oxide sensor dataset reveals limitations for gas classification benchmarks,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Drift in a popular metal oxide sensor dataset reveals limitations for gas classification benchmarks,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.605275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fad561cb-85d5-4def-88b9-8077ef055353 · outbound

This paper cites Multi-classifier tree with transient features for drift compensation in electronic nose,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Multi-classifier tree with transient features for drift compensation in electronic nose,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.596541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7c08062d-cd44-49b9-9f9f-624c6f5e6645 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Distilling the Knowledge in a Neural Network

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:01.465592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9721c6c4-d59e-450c-8c7d-03feb7aa6f37 · outbound

This paper cites Knowledge distillation in deep learning and its applications,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Knowledge distillation in deep learning and its applications,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.586772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0f6092ff-692e-4dcf-a217-30e7f3654240 · outbound

This paper cites Knowledge distillation: A survey,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Knowledge distillation: A survey,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:01.471697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfd42b96-7f36-445b-ad6d-46096dfab1a8 · outbound

This paper cites SimAug: Learning Robust Representations from Simulation for Trajectory Prediction.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation SimAug: Learning Robust Representations from Simulation for Trajectory Prediction

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:03:01.539751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 05d90f02-d218-4e9e-b631-f539f7a91d0c · outbound

This paper cites Unsupervised cross-user adaptation in taste sensation recognition based on surface electromyography with conformal prediction and domain regularized component analysis.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Unsupervised cross-user adaptation in taste sensation recognition based on surface electromyography with conformal prediction and domain regularized component analysis

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:03:01.527678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1d6171f1-4d32-411a-8b9b-eb86e51f485f · outbound

This paper cites Modeling teacher-student techniques in deep neural networks for knowledge distillation,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Modeling teacher-student techniques in deep neural networks for knowledge distillation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.571487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1ca8e948-aba1-44e3-9cd4-442ac9f171dc · outbound

This paper cites A survey on semi-supervised learning for delayed partially labelled data streams,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation A survey on semi-supervised learning for delayed partially labelled data streams,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:01.562582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b5079ad3-7bc7-417d-a6b8-46ce79b30964 · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks,.

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation Unpaired image-to-image translation using cycle-consistent adversarial networks,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:01.486342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers