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

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

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

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

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