A Practitioner's Approach for Problem-Solving using AI
eBook - ePub

A Practitioner's Approach for Problem-Solving using AI

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

A Practitioner's Approach for Problem-Solving using AI

About this book

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.

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Yes, you can access A Practitioner's Approach for Problem-Solving using AI by Satvik Vats,Vikrant Sharma,Dibyahash Bordoloi in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Table of Content
  3. Title
  4. BENTHAM SCIENCE PUBLISHERS LTD.
  5. PREFACE
  6. List of Contributors
  7. Redefining Human-AI Interactions: Unveiling ChatGPT's Profound Emotional Understanding
  8. Neuromorphic Computing: Forging a Link between Artificial Intelligence and Neurological Models
  9. Fingerprint Recognition System Study
  10. Glaucoma Detection with Retinal Fundus Images
  11. Detection of Lung Cancer using Image Processing Methods
  12. Web User Access Path Prediction using Recognition with Recurrent Neural Network
  13. News Event Detection Methods Based on Big Data Processing Techniques
  14. Rolling-Type Collaborative Training for False Comment Identification: Enhancing Accuracy through Multi-Characteristic Fusion
  15. A Neural Network Study of Face Recognition
  16. Time Sequence Data Monitoring Method Based on Auto-Aligning Bidirectional Long and Short-Term Memory Network
  17. Performance Evaluation of Wireless Communi- cation System MIMO Detection Algorithms
  18. Design and Implementation of a Clock Generator Based on All Digital PLL (ADPLL)
  19. Three-Dimensional Point Cloud Initial Enrollment Algorithm Based on Centre-of-mass and Centering
  20. Multi-Resolution Image Similarity Learning: A Method for Extracting Comprehensive Image Features
  21. Tensor Singular Value Decomposition-Based Multiple View Spectral Segmentation
  22. Enhanced CNN-Based Failure Integrated Assessment Procedure for Energy Accumulator Packs
  23. Fine Granularity Conceptual Model for Bilinearity Fusion Features and Learning Methods in Multilayer Feature Extraction
  24. From Chips to Systems: Exploring Disruptive VLSI Ecosystems