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Results 1 - 20 of 547  for All Library Resources

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1
Improving Extended Tree Augmented Naive Classifier with GAN
Improving Extended Tree Augmented Naive Classifier with GAN
Material Type:
Conference Proceeding 		Add to My Research

Improving Extended Tree Augmented Naive Classifier with GAN

Lecture notes in engineering and computer science, 2023, Vol.2245, p.25

Copyright International Association of Engineers Jul 5-Jul 7, 2023 ;ISSN: 2078-0958 ;EISSN: 2078-0966

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2
COMPARISON OF THE PERFORMANCE OF GRADIENT BOOSTING, LOGISTIC REGRESSION, AND LINEAR SUPPORT VECTOR CLASSIFIER ALGORITHMS IN CLASSIFYING TRAVEL MODES BASED ON GNSS DATA
COMPARISON OF THE PERFORMANCE OF GRADIENT BOOSTING, LOGISTIC REGRESSION, AND LINEAR SUPPORT VECTOR CLASSIFIER ALGORITHMS IN CLASSIFYING TRAVEL MODES BASED ON GNSS DATA
Material Type:
Conference Proceeding 		Add to My Research

COMPARISON OF THE PERFORMANCE OF GRADIENT BOOSTING, LOGISTIC REGRESSION, AND LINEAR SUPPORT VECTOR CLASSIFIER ALGORITHMS IN CLASSIFYING TRAVEL MODES BASED ON GNSS DATA

International archives of the photogrammetry, remote sensing and spatial information sciences., 2023, Vol.XLVIII-4/W2-2022, p.103-108 [Peer Reviewed Journal]

2023. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2194-9034 ;ISSN: 1682-1750 ;EISSN: 2194-9034 ;DOI: 10.5194/isprs-archives-XLVIII-4-W2-2022-103-2023

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3
Prediction of Bradycardia using Decision Tree Algorithm and Comparing the Accuracy with Support Vector Machine
Prediction of Bradycardia using Decision Tree Algorithm and Comparing the Accuracy with Support Vector Machine
Material Type:
Conference Proceeding 		Add to My Research

Prediction of Bradycardia using Decision Tree Algorithm and Comparing the Accuracy with Support Vector Machine

E3S Web of Conferences, 2023, Vol.399, p.9004 [Peer Reviewed Journal]

2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2267-1242 ;ISSN: 2555-0403 ;EISSN: 2267-1242 ;DOI: 10.1051/e3sconf/202339909004

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4
AUTOMATIC GENERATION OF DEM USING SVM CLASSIFIER
AUTOMATIC GENERATION OF DEM USING SVM CLASSIFIER
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Conference Proceeding 		Add to My Research

AUTOMATIC GENERATION OF DEM USING SVM CLASSIFIER

International archives of the photogrammetry, remote sensing and spatial information sciences., 2022, Vol.XLIII-B2-2022, p.121-127 [Peer Reviewed Journal]

2022. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2194-9034 ;ISSN: 1682-1750 ;EISSN: 2194-9034 ;DOI: 10.5194/isprs-archives-XLIII-B2-2022-121-2022

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5
Automatic Detection of Erratic Sensor Observations in Ami Platforms: A Statistical Approach
Automatic Detection of Erratic Sensor Observations in Ami Platforms: A Statistical Approach
Material Type:
Conference Proceeding 		Add to My Research

Automatic Detection of Erratic Sensor Observations in Ami Platforms: A Statistical Approach

Proceedings, 2019, Vol.31 (1), p.55 [Peer Reviewed Journal]

EISSN: 2504-3900 ;DOI: 10.3390/proceedings2019031055

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6
Modelling and Explaining Legal Case-Based Reasoners Through Classifiers
Modelling and Explaining Legal Case-Based Reasoners Through Classifiers
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Conference Proceeding 		Add to My Research

Modelling and Explaining Legal Case-Based Reasoners Through Classifiers

The Thirty-fifth Annual Conference on Legal Knowledge and Information Systems (JURIX 2022), 2022, Vol.362: Legal Knowledge and Information Systems, p.83-92 [Peer Reviewed Journal]

Attribution ;ISBN: 9781643683645 ;ISBN: 1643683640 ;DOI: 10.3233/faia220451

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7
DEEP LEARNING-BASED SCENE CLASSIFICATION OF VERY HIGH-RESOLUTION SATELLITE IMAGERY FOR POST-EARTHQUAKE DAMAGE ASSESSMENT: A CASE STUDY OF THE 2023 KAHRAMANMARAŞ EARTHQUAKES
DEEP LEARNING-BASED SCENE CLASSIFICATION OF VERY HIGH-RESOLUTION SATELLITE IMAGERY FOR POST-EARTHQUAKE DAMAGE ASSESSMENT: A CASE STUDY OF THE 2023 KAHRAMANMARAŞ EARTHQUAKES
Material Type:
Conference Proceeding 		Add to My Research

DEEP LEARNING-BASED SCENE CLASSIFICATION OF VERY HIGH-RESOLUTION SATELLITE IMAGERY FOR POST-EARTHQUAKE DAMAGE ASSESSMENT: A CASE STUDY OF THE 2023 KAHRAMANMARAŞ EARTHQUAKES

International archives of the photogrammetry, remote sensing and spatial information sciences., 2024, Vol.XLVIII-4/W9-2024, p.249-256 [Peer Reviewed Journal]

2024. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1682-1750 ;EISSN: 2194-9034 ;DOI: 10.5194/isprs-archives-XLVIII-4-W9-2024-249-2024

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8
MONITORING FOREST DEGRADATION OVER FOUR DECADES USING REMOTE SENSING AND MACHINE LEARNING CLASSIFICATION ALGORITHMS IN BOUSKOURA, MOROCCO
MONITORING FOREST DEGRADATION OVER FOUR DECADES USING REMOTE SENSING AND MACHINE LEARNING CLASSIFICATION ALGORITHMS IN BOUSKOURA, MOROCCO
Material Type:
Conference Proceeding 		Add to My Research

MONITORING FOREST DEGRADATION OVER FOUR DECADES USING REMOTE SENSING AND MACHINE LEARNING CLASSIFICATION ALGORITHMS IN BOUSKOURA, MOROCCO

International archives of the photogrammetry, remote sensing and spatial information sciences., 2024, Vol.XLVIII-4/W9-2024, p.337-342 [Peer Reviewed Journal]

2024. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1682-1750 ;EISSN: 2194-9034 ;DOI: 10.5194/isprs-archives-XLVIII-4-W9-2024-337-2024

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9
COMPARISON OF MACHINE LEARNING CLASSIFIERS FOR MULTITEMPORAL AND MULTISENSOR MAPPING OF URBAN LULC FEATURES
COMPARISON OF MACHINE LEARNING CLASSIFIERS FOR MULTITEMPORAL AND MULTISENSOR MAPPING OF URBAN LULC FEATURES
Material Type:
Conference Proceeding 		Add to My Research

COMPARISON OF MACHINE LEARNING CLASSIFIERS FOR MULTITEMPORAL AND MULTISENSOR MAPPING OF URBAN LULC FEATURES

International archives of the photogrammetry, remote sensing and spatial information sciences., 2022, Vol.XLIII-B3-2022, p.681-689 [Peer Reviewed Journal]

2022. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2194-9034 ;ISSN: 1682-1750 ;EISSN: 2194-9034 ;DOI: 10.5194/isprs-archives-XLIII-B3-2022-681-2022

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10
COMPARATIVE STUDY OF ROAD AND URBAN OBJECT CLASSIFICATION BASED ON MOBILE LASER SCANNERS
COMPARATIVE STUDY OF ROAD AND URBAN OBJECT CLASSIFICATION BASED ON MOBILE LASER SCANNERS
Material Type:
Conference Proceeding 		Add to My Research

COMPARATIVE STUDY OF ROAD AND URBAN OBJECT CLASSIFICATION BASED ON MOBILE LASER SCANNERS

International archives of the photogrammetry, remote sensing and spatial information sciences., 2023, Vol.XLVIII-1/W1-2023, p.423-429 [Peer Reviewed Journal]

2023. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1682-1750 ;EISSN: 2194-9034 ;DOI: 10.5194/isprs-archives-XLVIII-1-W1-2023-423-2023

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11
IDENTIFICATION OF RELEVANT POINT CLOUD GEOMETRIC FEATURES FOR THE DETECTION OF PAVEMENT CRACKS USING MLS DATA
IDENTIFICATION OF RELEVANT POINT CLOUD GEOMETRIC FEATURES FOR THE DETECTION OF PAVEMENT CRACKS USING MLS DATA
Material Type:
Conference Proceeding 		Add to My Research

IDENTIFICATION OF RELEVANT POINT CLOUD GEOMETRIC FEATURES FOR THE DETECTION OF PAVEMENT CRACKS USING MLS DATA

International archives of the photogrammetry, remote sensing and spatial information sciences., 2023, Vol.XLVIII-1/W1-2023, p.107-112 [Peer Reviewed Journal]

2023. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1682-1750 ;EISSN: 2194-9034 ;DOI: 10.5194/isprs-archives-XLVIII-1-W1-2023-107-2023

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12
LAND-COVER MAPS USING MULTIPLE CLASSIFIER SYSTEM FOR POST-DISASTER LANDSCAPE MONITORING
LAND-COVER MAPS USING MULTIPLE CLASSIFIER SYSTEM FOR POST-DISASTER LANDSCAPE MONITORING
Material Type:
Conference Proceeding 		Add to My Research

LAND-COVER MAPS USING MULTIPLE CLASSIFIER SYSTEM FOR POST-DISASTER LANDSCAPE MONITORING

International archives of the photogrammetry, remote sensing and spatial information sciences., 2019, Vol.XLII-3/W8, p.139-142 [Peer Reviewed Journal]

2019. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2194-9034 ;ISSN: 1682-1750 ;EISSN: 2194-9034 ;DOI: 10.5194/isprs-archives-XLII-3-W8-139-2019

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13
Review of Immunotherapy Classification: Application Domains, Datasets, Algorithms and Software Tools from Machine Learning Perspective
Review of Immunotherapy Classification: Application Domains, Datasets, Algorithms and Software Tools from Machine Learning Perspective
Material Type:
Conference Proceeding 		Add to My Research

Review of Immunotherapy Classification: Application Domains, Datasets, Algorithms and Software Tools from Machine Learning Perspective

2022 32nd Conference of Open Innovations Association (FRUCT), 2022, Vol.32 (1), p.152-161 [Peer Reviewed Journal]

ISSN: 2305-7254 ;EISSN: 2305-7254 ;EISSN: 2343-0737 ;EISBN: 9526924487 ;EISBN: 9789526924489 ;DOI: 10.23919/FRUCT56874.2022.9953853

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14
DETECTION OF CRESCENT SAND DUNES CONTOURS IN SATELLITE IMAGES USING AN ACTIVE SHAPE MODEL WITH A CASCADE CLASSIFIER
DETECTION OF CRESCENT SAND DUNES CONTOURS IN SATELLITE IMAGES USING AN ACTIVE SHAPE MODEL WITH A CASCADE CLASSIFIER
Material Type:
Conference Proceeding 		Add to My Research

DETECTION OF CRESCENT SAND DUNES CONTOURS IN SATELLITE IMAGES USING AN ACTIVE SHAPE MODEL WITH A CASCADE CLASSIFIER

International archives of the photogrammetry, remote sensing and spatial information sciences., 2019, Vol.XLII-4/W12, p.17-24 [Peer Reviewed Journal]

2019. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2194-9034 ;ISSN: 1682-1750 ;EISSN: 2194-9034 ;DOI: 10.5194/isprs-archives-XLII-4-W12-17-2019

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15
Developing the Security for Cloud Information Via Alexnet Learning Model versus the accuracy of Artificial Neural Network
Developing the Security for Cloud Information Via Alexnet Learning Model versus the accuracy of Artificial Neural Network
Material Type:
Conference Proceeding 		Add to My Research

Developing the Security for Cloud Information Via Alexnet Learning Model versus the accuracy of Artificial Neural Network

E3S Web of Conferences, 2023, Vol.399, p.4023 [Peer Reviewed Journal]

2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2267-1242 ;ISSN: 2555-0403 ;EISSN: 2267-1242 ;DOI: 10.1051/e3sconf/202339904023

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16
Residual Neural Network for the Accurate Recognition of Human Action and Compared with Bayesian Regression
Residual Neural Network for the Accurate Recognition of Human Action and Compared with Bayesian Regression
Material Type:
Conference Proceeding 		Add to My Research

Residual Neural Network for the Accurate Recognition of Human Action and Compared with Bayesian Regression

E3S Web of Conferences, 2023, Vol.399, p.4024 [Peer Reviewed Journal]

2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2267-1242 ;ISSN: 2555-0403 ;EISSN: 2267-1242 ;DOI: 10.1051/e3sconf/202339904024

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17
UAV-BASED RIVER PLASTIC DETECTION WITH A MULTISPECTRAL CAMERA
UAV-BASED RIVER PLASTIC DETECTION WITH A MULTISPECTRAL CAMERA
Material Type:
Conference Proceeding 		Add to My Research

UAV-BASED RIVER PLASTIC DETECTION WITH A MULTISPECTRAL CAMERA

International archives of the photogrammetry, remote sensing and spatial information sciences., 2022, Vol.XLIII-B3-2022, p.855-861 [Peer Reviewed Journal]

2022. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2194-9034 ;ISSN: 1682-1750 ;EISSN: 2194-9034 ;DOI: 10.5194/isprs-archives-XLIII-B3-2022-855-2022

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18
UTILISING SIMULATED TREE DATA TO TRAIN SUPERVISED CLASSIFIERS
UTILISING SIMULATED TREE DATA TO TRAIN SUPERVISED CLASSIFIERS
Material Type:
Conference Proceeding 		Add to My Research

UTILISING SIMULATED TREE DATA TO TRAIN SUPERVISED CLASSIFIERS

International archives of the photogrammetry, remote sensing and spatial information sciences., 2022, Vol.XLIII-B2-2022, p.633-639 [Peer Reviewed Journal]

2022. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2194-9034 ;ISSN: 1682-1750 ;EISSN: 2194-9034 ;DOI: 10.5194/isprs-archives-XLIII-B2-2022-633-2022

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19
ROBUST AND EFFECTIVE AIRBORNE LIDAR POINT CLOUD CLASSIFICATION BASED ON HYBRID FEATURES
ROBUST AND EFFECTIVE AIRBORNE LIDAR POINT CLOUD CLASSIFICATION BASED ON HYBRID FEATURES
Material Type:
Conference Proceeding 		Add to My Research

ROBUST AND EFFECTIVE AIRBORNE LIDAR POINT CLOUD CLASSIFICATION BASED ON HYBRID FEATURES

International archives of the photogrammetry, remote sensing and spatial information sciences., 2022, Vol.XLIII-B2-2022, p.229-235 [Peer Reviewed Journal]

2022. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2194-9034 ;ISSN: 1682-1750 ;EISSN: 2194-9034 ;DOI: 10.5194/isprs-archives-XLIII-B2-2022-229-2022

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20
A Deep Cybersickness Predictor through Kinematic Data with Encoded Physiological Representation
A Deep Cybersickness Predictor through Kinematic Data with Encoded Physiological Representation
Material Type:
Conference Proceeding 		Add to My Research

A Deep Cybersickness Predictor through Kinematic Data with Encoded Physiological Representation

IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2023, p.1132-1141

Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.1109/ISMAR59233.2023.00130

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