| Description |
1 online resource (567 p.) |
| Series |
Algorithms for intelligent systems |
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Algorithms for intelligent systems.
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| Contents |
Intro -- Preface -- Contents -- About the Editors -- 1 Rebalancing Algorithm for Bike Sharing System Networks with Uncertain Inventories and Stations with Finite Capacity -- 1 Introduction -- 2 General Model -- 2.1 Least Cost Flow Model -- 2.2 Balanced Least Cost Flow Model -- 2.3 Inventory Distribution Model -- 3 Case Study -- 4 Results -- 5 Conclusions -- 6 Future Works -- References -- 2 Sensor-Based Personal Activity Recognition Using Mixed 5-Layer CNN-LSTM and Hyperparameter Tunning -- 1 Introduction -- 2 Theoretical Background -- 3 Implementation Methodology |
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3.1 UCI-HAR Smartphone Dataset -- 4 Experiments and Results -- 4.1 Comparative Results -- 4.2 Comparative Analysis -- 5 Conclusion -- References -- 3 Machine Learning Approach Using Artificial Neural Networks to Detect Malicious Nodes in IoT Networks -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 4 Experimentation -- 5 Conclusion -- References -- 4 Ensemble Learning Approach for Heart Disease Prediction -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset Analysis -- 3.2 Proposed Approach -- 4 Results and Discussion |
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4.1 Machine Learning Algorithms Used -- 5 Conclusion and Future Scope -- References -- 5 Computer Vision-Based Contactless Cardiac Pulse Estimation -- 1 Literature Survey -- 2 Methodology -- 2.1 Face Detection and Tracking -- 2.2 Region of Interest -- 2.3 RGB Signals Extraction -- 2.4 Signal Preprocessing -- 2.5 Heart Rate Estimation -- 3 Results and Discussion -- 4 Conclusion -- References -- 6 Mobile Malware Detection: A Comparative Study of Machine Learning Models -- 1 Introduction -- 2 Related Work -- 3 Machine Learning Models for Malware Detection -- 3.1 CNN Architecture -- 3.2 Random Forest |
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3.3 Decision Tree -- 4 Experimental Setup and Performance Evaluation -- 4.1 Dataset -- 4.2 Performance Evaluation -- 5 Accuracy -- 6 False Positive Rate -- 7 False Negative Rate -- 8 Precision -- 9 Recall -- 10 Conclusion -- References -- 7 Distance and Similarity Measures of Hesitant Bi-Fuzzy Set and Its Applications in Pattern Recognition Problem -- 1 Introduction -- 2 Preliminaries -- 3 New Series of Distance Measures for Hesitant Bi-Fuzzy Sets -- 3.1 Series of Distance Measures for HBFSs -- 3.2 New Similarity Measures -- 4 An Algorithm for Hesitant Bi-Fuzzy TOPSIS -- 5 Illustrative Examples |
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5.1 Comparative Study and Application in Pattern Recognition -- 5.2 Sensitivity Study -- 6 Conclusion -- References -- 8 Impact of Machine Learning in Education -- 1 Introduction -- 2 Related Work -- 3 Major Issues -- 3.1 Personal and Customized Learning -- 3.2 Content Analysis -- 3.3 Grade Management -- 3.4 Material Management -- 3.5 Progress Management -- 4 Research Methodology -- 4.1 A Survey by Questionnaires -- 4.2 Target Team -- 4.3 Target Setting Study -- 4.4 Research-Based on Case Study -- 5 Comparative Exploration -- 5.1 Easy Implementation -- 5.2 Easy Usage -- 5.3 Easy Administration |
| Summary |
This book consists of a collection of the high-quality research articles in the field of computer vision and robotics which are presented in the International Conference on Computer Vision and Robotics (CVR 2023), organized by BBD University Lucknow, India, during 2425 February 2023. The book discusses applications of computer vision and robotics in the fields like medical science, defence, and smart city planning. The book presents recent works from researchers, academicians, industry, and policy makers |
| Notes |
5.4 Reliability |
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Online resource; title from PDF title page (SpringerLink, viewed October 13, 2023) |
| Subject |
Computer vision -- Congresses
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Robotics -- Congresses
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Computer vision
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Robotics
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Shukla, Praveen Kumar
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Mittal, Himanshu
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Engelbrecht, Andries P
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| ISBN |
9789819945771 |
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9819945771 |
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