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Artificial Intelligence and Knowledge Processing: Methods and Applications

  • Book

  • November 2023
  • Bentham Science Publishers Ltd
  • ID: 5921132
Artificial Intelligence and Knowledge Processing: Methods and Applications demonstrates the transformative power of Artificial Intelligence (AI) in our lives. The book is a collection of 14 edited reviews that cover a wide range of topics showcasing the application of AI and machine learning to create knowledge, and facilitate different processes.

The book starts by illuminating how AI is employed in robotics, IoT, marketing, and operations. It showcases how AI extracts insights from big data, optimizes museum management, and empowers automated garden path planning using reinforcement learning. The book also explores how AI can be used to predict heart disease using artificial neural networks. Furthermore, the book underscores how AI predicts crop suitability, manages crop systems, and can even help to detect violence in using computer vision. Chapters highlight specific techniques or systems such as recommendation systems and reinforcement learning where appropriate.

Key Features:

  • Showcases a wide range of AI applications
  • Bridges theory and practice with real-word insights
  • Uses accessible language to explain complex AI concepts
  • Includes references for advanced readers
This book is intended as a guide for a broad range of readers who want to learn about AI applications and the profound influence it has on our lives.

Readership

General readers, students, researchers and entrepreneurs interested in AI use-cases and applications.

Table of Contents

  • Contents
  • Foreword
  • Preface
  • List of Contributors
Chapter 1 Artificial General Intelligence; Pragmatism or An
  • Antithesis?
  • K. Ravi Kumar Reddy, K. Kailash and Y. Vani
  • Introduction
  • Elucidation of Echelons, the Hierarchy
  • Ancient Mythological Milieu
  • Perplexity of Technophobia26
  • Incredulous of Celluloid Apocryphal
  • Chaotic Proclamations of Digital Prowess
  • Gregarious and Pervasive Transgenic Consciousness
  • Apperceptive Terrestrial Systematization
  • Conclusion
  • Candid Exhortation
  • Notes
  • Consent for Publicaton
  • References
Chapter 2 Applications of Artificial Intelligence in Robotics
  • Pingili Sravya, Hemachandran K. And Ezendu Ariwa
  • Introduction
  • Difference Between Ai and Robotics
  • Perception and Intelligent Robots
  • Ai and Advanced Robotics Techniques
  • Will Robots Replace the Human Workforce?
  • Robots and Our Developing Environment
  • Ai, Robots Vs Humans
  • Robotics & Ai Future of Humanity?
  • A. Robots in School
  • B. Robots in Health Care
  • C. Robots to Analyze Emotions
  • D. Robots in Industries
  • E. Robots in the Aviation Industry
  • F. Robotics in Defense Sectors
  • G. Robots in the Mining Industry
  • Limitations of Ai
  • Conclusion
  • Consent for Publicaton
  • Acknowledgements
  • References
Chapter 3 Smart Regime With IoT Application Using Ai
  • Sri Rama Sai Pavan Kumar, Guda Vineeth Reddy, Sailaja Maggidi and Rajesh Kumar
  • K. V.
  • Introduction
  • Layers of IoT
  • Primarily We Are Using These Technologies In: Wearables
  • Smart Homes and Buildings
  • Self-Driving Vehicles
  • Security Devices
  • Traffic Control
  • Face, Age & Height Detection System
  • Iot in the Healthcare Industry
  • Iot in the Agriculture Sector
  • Smart City
  • Iot Combination of Data Science and Ai
  • The Data Mining Process in IoT
  • Ai Libraries and Their Role in IoT Applications
  • Keras
  • Tensorflow
  • Numpy
  • Matplotlib
  • Innovative Milestones Can Be Achieved in IoT Using Ai
  • Conclusion
  • Consent for Publicaton
  • Acknowledgements
  • References
Chapter 4 Artificial Intelligence in Marketing and Operations
  • Gaddam Venkat Shobika, Sourav Chakraborty, Varadharaja Krishna, Dibya Nandan
  • Mishra and Pranay Kumar
  • Introduction
  • Application of Artificial Intelligence in Marketing
  • Impact of Artificial Intelligence on Customers
  • Impact of Artificial Intelligence on Marketing
  • Application of Artificial Intelligence in Operations
  • Application of Market Basket Analysis
  • Architecture
  • Basics of Market Basket Analysis
  • Support
  • Confidence
  • Market Basket Analysis Applications
  • Benefits of Market Basket Analysis
  • Conclusion
  • Consent for Publicaton
  • Acknowledgements
  • References
Chapter 5 Data Insights by Using Data Visualization and Exploration
  • Choppala Swathi Priya, Sai Santosh Potnuru, Ishank Jha, Hemachandran K. And
  • Chinna Swamy Dudekula
  • Introduction
  • Visualization as a Tool for Insight Discovery
  • How to Visualize Data?
  • Transform the Data
  • Tools
  • Why a Tool Like Data Visualization is So Effective?
  • Data Visualization and Big Data
  • Characteristics of the Big Data
  • Architecture
  • The Following Workloads Are Among Those That Big Data
  • Solutions Frequently Include
  • Big Data Architectures Should Be Taken into Consideration
  • Main Advantages and Disadvantages of Big Data
  • Advantages of Big Data
  • Disadvantages of Big Data
  • Big Data and Data Visualization Relationship
  • While Big Data Visualization Has Its Benefits, There Are Also Some
  • Serious Disadvantages for Enterprises. The Following Are Their
  • Names
  • Data Exploration
  • Conclusion
  • Data Visualization's Future
  • Consent for Publicaton
  • Acknowledgements
  • References
Chapter 6 Application of Computer Vision to Laboratory Experiments
  • P.K. Thiruvikraman, Devendra Dheeraj Gupta Sanagapalli and Simran Sahni
  • Introduction: Background
  • The Coupled Pendulum Experiment
  • The Flywheel Experiment
  • Conclusion
  • References:
Chapter 7 Violence Detection for Smart Cities Using Computer Vision
  • Jyoti Madake, Shripad Bhatlawande, Abhishek Rajput, Aditya Rasal, Sambodhi
  • Umare, Varun Shelke and Swati Shilaskar
  • Introduction
  • Literature Survey
  • Methodology
  • Feature Extraction
  • Transfer Learning
  • Binary Classification Using Lstm
  • Model Training and Optimization
  • Results and Discussion
  • Conclusion
  • References
Chapter 8 a Big Data Analytics Architecture Framework for Oilseeds
  • And Textile Industry Production and International Trade for Sub-
  • Saharan Africa (Ssa)
  • Gabriel Kabanda
  • Introduction
  • Background
  • Statement of the Problem
  • Research Aim
  • Research Objectives
  • Research Questions
  • Literature Survey
  • Oilseeds and Textile Production Competitive Challenges in Ssa

Author

  • Hemachandran K.
  • Raul V. Rodriguez
  • Umashankar Subramaniam
  • Valentina Emilia Balas