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Generative Artificial Intelligence: Technology and Applications

Generative Artificial Intelligence: Technology and Applications

          
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About the Book

This book comprehensively covers designing and implementing misinformation intervention strategies and risk communication approaches for generative artificial intelligence (AI) technologies. Key Features: Showcases cutting‑edge technology and offers insights into one of the most rapidly evolving fields in AI Provides a comprehensive understanding of the underlying principles, algorithms, and applications of this cutting‑edge technology, offering insights into both its theoretical foundations and practical implementations Discusses generative AI models, unraveling the contrasts between machine learning, deep learning, and generative AI Presents AI‑based models for the detection and generation of fraudulent content Covers topics such as speech generation, deepfake technology, pose synthesis for animation, and sports performance analysis This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

Table of Contents:
Preface About the Editors List of Contributors Chapter 1 Generative Artificial Intelligence: Foundations and Its Transformative Impact on Human Lives Surabhi Shanker and Saloni Bhushan Chapter 2 Technical Report Style Saloni Bhushan and Surabhi Shanker Chapter 3: How GenAI is replacing humans: Myth or real. Ethical Considerations in AI: Bias and Fairness in Generative Models Deepika Bhatia, Raghav Tiwari, Adithya Venkateswaran, and Prachi Shrivastava Chapter 4 Ethical Frontiers in AI Development: Navigating Innovation with Integrity in the Age of GenAI Vijay kumar1, Rachna Narula2, Sarthak Khanna3, Anil Kumar4 Poonam Chaudhary5, and Surbhi Bhatia Khan6 Chapter 5 Text based Generative Al techniques Neha Yadav, Dhanalekshmi Gopinathan and Alka Singhal Chapter 6 AI-Driven Approaches for Hate Speech Detection: Methods and Challenges Shikha Bhalla and Ashish Kumar Chapter 7: Transforming Learning: The Role of Generative AI in Modern Education Dhanlekshmi Gopinathan and Alka Singhal Chapter 8 SageML: An Integrated End-to-End Automated Machine Learning Pipeline Deepika Varshney, Prakhar Madnani, Devansh Kukreja and Ajaydeep Chapter 9 Question Difficulty Estimation from Text with Natural Language Processing Techniques Deepika Varshney, Neetu Sardana, and Anuja Arora Chapter 10 Deep Learning Algorithm for Student Performance Grading System in Higher Education Ajay Tripathi, Ashwani Varshney and Preeti Varshney Chapter 11 Voice Based Generative AI Techniques Arunita Chaukiyal and Hem Dutt Dabral Chapter 12 Voice Assisted E-Commerce: Enhancing Accessibility for Visually Impaired Users Using Generative AI Abhishek Chaudhary and Kirti Jain Chapter 13 Voice-Based Deep Fake Technology Mansimran Kaur, Priyansh Kashyap, Utku Kӧse and Preeti Nagrath Chapter 14 Enhancing Communication: Recognition of American Sign Language Finger Spelling Tejna Khosla and Deepika Bansal Chapter 15: A Hybrid Framework for Detection & Diagnosis of Plant Diseases using Retrieval Augmented Generative AI Megha Rathi, Harikesh Pratap Singh, Kaustubh Pandey, Harsh Dhanwani and Adwitiya Sinha Chapter 16 Challenges of Generative Artificial Intelligence Dr. Neetu Sardana1, and Dr Harsha Ratnani2 Chapter 17 Impact of Generative AI on Healthcare Imaging Anshu Khurana, Tina Dudeja, Nitish Uppal and Nitin Garg Chapter 18 Leveraging DC-GANs and Cyclic GANs for Synthetic MRI Image Generation and Neural Network Optimization Kirti Aggarwal, Vikalp Srivastava and Kunal Kartikeya Chapter 19 Next-Generation Health Services: Integrating Mobile Chatbots with Health Monitoring Technologies Megha Rathi and Jaya Srivastava Chapter 20 From Pixels to Prognosis: The Role of Image Synthesis in Medical Diagnosis Vijay kumar1, Rachna Narula2, Sarthak Khanna3, Anil Kumar4 Poonam Chaudhary5, and Surbhi Bhatia Khan6 Chapter 21 HybrBPF: Hybrid Bitcoin Price Prediction Framework Using Sentiment Analysis and Regression Abhinav Garg, Chhavi Dhiman and Ajay Kaushik Chapter 22 A Framework based on Generative-AI for Stock Recommendation Sonal Tuteja, Archit Malhotra, Aishwarya Shanker, and Yashika Agarwal


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Product Details
  • ISBN-13: 9781040664315
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: CRC Press
  • Language: English
  • ISBN-10: 1040664318
  • Publisher Date: 24 Dec 2025
  • Binding: Digital (delivered electronically)
  • Sub Title: Technology and Applications


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