| Description |
1 online resource (xxviii, 205 pages) : illustrations (some color) |
| Contents |
Intro -- Foreword -- Preface -- About IIT Guwahati -- From the Desk of Chairman of Technical Committee of NERC 2022 -- North East Research Conclave 2022: Toward Sustainable Science and Technology -- Contents -- About the Editors -- Negation in a Language -- Abstract -- 1 Introduction -- 2 Importance of the Negation in Bengali -- 3 Existing Work of Bengali Negation -- 4 Corpus-Based Study of Bengali Negation -- 4.1 Corpus Used -- 4.2 Retrieval Approach -- 5 Result and Discussion -- 6 Conclusion -- References -- COVID-19 Neologism in the Assamese Language -- 1 Introduction |
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2 Theoretical Framework and Research Methodology -- 3 Discussion and Findings -- 3.1 Corpus Creation -- 4 Methodology to Retrieve COVID-19-Related Terms -- 5 Result -- 6 Conclusion -- References -- A Computational Approach for the Tonal Identification in Bodo Language -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Similarities Between the WSD and Tonal Identification in a Text -- 3 Related Work -- 4 Resources -- 4.1 WordNet -- 4.2 Tone Word List -- 4.3 Tone-Synset Dictionary -- 4.4 Test Set -- 5 Methodology -- 5.1 Modified Lesk Algorithm -- 5.2 Tonal Word Identification |
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5.3 Sense Identification -- 5.4 Tone Identification -- 6 Results -- 7 Error Analysis and Discussion -- 7.1 Errors -- 7.2 Dataset -- 7.3 Language Tools and Resources -- 7.4 Baseline Model -- 8 Conclusion -- References -- Real-Time Detection of Natural Scene Assamese Texts Using Deep Learning -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Datasets Collection -- 3.2 Image Annotation -- 3.3 Hyper-Parameter Optimization -- 3.4 Selection of Backbone Network -- 3.5 Training of YOLOv5s Using RTX 3050 Laptop Discrete GPU -- 4 Results and Discussion -- 5 Conclusion -- References |
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Development of Directional Drilling Well Profile Design App Using Python -- 1 Introduction -- 2 Materials and Methods -- 2.1 Major Types of Well Trajectories -- 2.2 Types of Survey Methods -- 2.3 Formulae Involved -- 2.4 Inclination -- 2.5 Flow Diagram -- 3 Results and Discussions -- 4 Conclusion and Scope for Future Work -- References -- Multi-objective Optimization in NOMA-IoT Networks -- 1 Introduction -- 2 Related Works -- 3 System Model -- 3.1 Problem Statement -- 4 Multi-objective Optimization -- 5 Proposed Architecture -- 5.1 MOGA |
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5.2 Proposed MOGA-RL Algorithm for Spectral Efficiency and Energy Efficiency -- 6 Results and Discussion -- 7 Algorithm Analysis -- 7.1 Space Complexity -- 7.2 Time Complexity -- 8 Conclusion -- References -- Prediction and Forecasting Municipal Solid Waste Generation of Northeastern Cities by Retrofitting ML Models of Guwahati, India -- 1 Introduction -- 2 Study Area -- 3 Materials and Methods -- 3.1 Data Consolidation and Socio-economic Parameters Selection -- 3.2 Pre-processing of the Data -- 3.3 Machine Learning Techniques -- 3.4 Model Training -- 3.5 Model Testing and Validation |
| Summary |
This book title is a composition of multiple research efforts that are based on cutting-edge Artificial Intelligence (AI) techniques. Some of the signal processing problems are addressed with techniques from the broad areas of machine learning and deep learning |
| Notes |
Conference proceedings |
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Online resource; title from PDF title page (SpringerLink, viewed September 13, 2023) |
| Subject |
Computer science -- Congresses
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Artificial intelligence -- Congresses
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Research -- Congresses
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Artificial intelligence.
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Computer science.
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Research.
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| Genre/Form |
Electronic books
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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 |
Bhattacharjee, Ratnajit, editor
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Neog, Debanga Raj, editor
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Mopuri, Konda Reddy, editor
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Vipparthi, Santosh Kumar, editor.
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| ISBN |
9789819926091 |
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9819926092 |
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