Editors: Satvik Vats, Vikrant Sharma, Dibyahash Bordoloi, Satya Prakash Yadav

Series Title: Emerging Trends in Computation Intelligence and Disruptive Technologies

A Practitioner's Approach to Problem-Solving using AI ( volume: 1)

Volume 1

eBook: US $59 Special Offer (PDF + Printed Copy): US $101
Printed Copy: US $71
Library License: US $236
ISBN: 978-981-5305-37-1 (Print)
ISBN: 978-981-5305-36-4 (Online)
Year of Publication: 2024
DOI: 10.2174/97898153053641240101

Introduction

This book demonstrates several use cases of how artificial intelligence (AI) and machine learning (ML) are revolutionizing problem-solving across various industries. The book presents 18 edited chapters beginning with the latest advancements in human-AI interactions and neuromorphic computing, setting the stage for practical applications.

Chapters focus on AI and ML applications such as fingerprint recognition, glaucoma detection, and lung cancer identification using image processing. The book also explores the role of AI in professional operations such as UX design, event detection, and content analysis. Additionally, the book includes content that examines AI's impact on technical operations wireless communication, VLSI systems, and advanced manufacturing processes. Each chapter contains summaries and references for addressing the needs of beginner and advanced readers.

This comprehensive guide is an essential resource for anyone seeking to understand AI's transformative role in modern problem-solving in professional industries.

Readership:

Tech professionals, enthusiasts, computer science students, trainers, and instructors.

Series Intro

Emerging Trends in Computation Intelligence and Disruptive Technologies is a an informativce series of edited volumes that explores the latest advancements and innovations in the fields of computational intelligence and disruptive technologies. Each volume delves into cutting-edge research, applications, and theoretical developments across a broad range of topics, including artificial intelligence, machine learning, robotics, nanotechnology, and more. The series brings together contributions from leading experts, offering comprehensive insights into how these technologies are shaping industries, driving innovation, and addressing complex challenges. This series serves as an essential resource for researchers, professionals, and students looking to stay ahead in the rapidly evolving landscape of computation and technology.

Preface

- Pp. i
Satvik Vats, Vikrant Sharma, Dibyahash Bordoloi, Satya Prakash Yadav
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List of Contributors

- Pp. ii-iv (3)

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Redefining Human-AI Interactions: Unveiling ChatGPT's Profound Emotional Understanding

- Pp. 1-19 (19)
Priyanshu Rawat*, Madhvan Bajaj, Satvik Vats, Vikrant Sharma

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Neuromorphic Computing: Forging a Link between Artificial Intelligence and Neurological Models

- Pp. 20-56 (37)
Madhvan Bajaj*, Priyanshu Rawat, Vikrant Sharma, Satvik Vats

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Fingerprint Recognition System Study

- Pp. 57-71 (15)
Prerna*, Rishika Yadav, Shashank Awasthi, Satya Prakash Yadav, Prashant Upadhyay

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Glaucoma Detection with Retinal Fundus Images

- Pp. 72-87 (16)
Shreshtha Mehta*, Amit Gupta, Deepti Sahu, Pawan Kumar Singh, Satya Prakash Yadav

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Detection of Lung Cancer using Image Processing Methods

- Pp. 88-103 (16)
Shreshtha Mehta*, Dibyahash Bordoloi, Satya Prakash Yadav, Pawan Kumar Singh, Prashant Upadhyay

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Web User Access Path Prediction using Recognition with Recurrent Neural Network

- Pp. 104-116 (13)
Prerna, Sushant Chamoli*, Pawan Kumar Singh, Sansar Singh Chauhan, Satya Prakash Yadav

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News Event Detection Methods Based on Big Data Processing Techniques

- Pp. 117-129 (13)
Karan Purohit*, Rishabh Saklani, Veena Bharti, Mahaveer Singh Naruka, Satya Prakash Yadav, Upendra Singh Aswal

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Rolling-Type Collaborative Training for False Comment Identification: Enhancing Accuracy through Multi-Characteristic Fusion

- Pp. 130-141 (12)
Sandeep Kumar*, Shashank Awasthi, Nilotpal Pathak, Amit Gupta, Rajesh Pokhariyal

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A Neural Network Study of Face Recognition

- Pp. 142-157 (16)
Rishabh Saklani*, Karan Purohit, Santosh Kumar Upadhyay, Prashant Upadhyay, Satya Prakash Yadav, Aditya Verma, Ashish Garg

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Time Sequence Data Monitoring Method Based on Auto-Aligning Bidirectional Long and Short-Term Memory Network

- Pp. 158-170 (13)
Abha Kiran Rajpoot*, Shashank Awasthi, Mahaveer Singh Naruka, Dibyahash Bordoloi, Neha Garg

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Performance Evaluation of Wireless Communication System MIMO Detection Algorithms

- Pp. 171-184 (14)
Shikha Agarwal*, Aarti Chaudhary, Alok Barddhan, Sushant Chamoli, Upendra Singh Aswal

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Design and Implementation of a Clock Generator Based on All Digital PLL (ADPLL)

- Pp. 185-199 (15)
Shashank Awasthi*, Satya Prakash Yadav, Manish Chhabra, Richa Gupta, Rajesh Pokhariyal

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Three-Dimensional Point Cloud Initial Enrollment Algorithm Based on Centre-of-mass and Centering

- Pp. 200-212 (13)
Mahaveer Singh Naruka*, Pawan Kumar Singh, Manish Chhabra, Rishika Yadav, Neha Garg

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Multi-Resolution Image Similarity Learning: A Method for Extracting Comprehensive Image Features

- Pp. 213-224 (12)
Sheradha Jauhari*, Sansar Singh Chauhan, Gunajn Aggarwal, Amit Gupta, Navin Garg

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Tensor Singular Value Decomposition-Based Multiple View Spectral Segmentation

- Pp. 225-239 (15)
Ashish Dixit*, Pawan Kumar Singh, Satya Prakash Yadav, Dibyahash Bordoloi, Upendra Singh Aswal

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Enhanced CNN-Based Failure Integrated Assessment Procedure for Energy Accumulator Packs

- Pp. 240-254 (15)
Sachin Jain*, Kamna Singh, Prashant Upadhyay, Richa Gupta, Ashish Garg

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Fine Granularity Conceptual Model for Bilinearity Fusion Features and Learning Methods in Multilayer Feature Extraction

- Pp. 255-267 (13)
Satya Prakash Yadav*, Mahaveer Singh Naruka, Prashant Upadhyay, Sushant Chamoli, Rajesh Pokhariyal

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From Chips to Systems: Exploring Disruptive VLSI Ecosystems

- Pp. 268-281 (14)
Owais Ahmad Shah*, Devesh Tiwari

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Subject Index

- Pp. 282-287 (6)
Satvik Vats, Vikrant Sharma, Dibyahash Bordoloi, Satya Prakash Yadav
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