Editors: Hemachandran K., Raul V. Rodriguez, Umashankar Subramaniam, Valentina Emilia Balas

Artificial Intelligence and Knowledge Processing: Methods and Applications

eBook: US $49 Special Offer (PDF + Printed Copy): US $95
Printed Copy: US $70
Library License: US $196
ISBN: 978-981-5165-74-6 (Print)
ISBN: 978-981-5165-73-9 (Online)
Year of Publication: 2023
DOI: 10.2174/97898151657391230101

Introduction

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.

Foreword

- Pp. i
Somdip Dey
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Preface

- Pp. ii-iii (2)
Hemachandran K., Raul V. Rodriguez, Umashankar Subramaniam, Valentina Emilia Balas
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List of Contributors

- Pp. iv-v (2)

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Artificial General Intelligence; Pragmatism or an Antithesis?

- Pp. 1-25 (25)
K. Ravi Kumar Reddy*, K. Kailash, Y. Vani

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Applications of Artificial Intelligence in Robotics

- Pp. 26-36 (11)
Pingili Sravya*, Hemachandran K., Ezendu Ariwa

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Smart Regime with IoT application using AI

- Pp. 37-55 (19)
Sri Rama Sai Pavan Kumar*, Guda Vineeth Reddy, Sailaja Maggidi, Rajesh Kumar K. V.

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Artificial Intelligence in Marketing and Operations

- Pp. 56-71 (16)
Gaddam Venkat Shobika*, Sourav Chakraborty, Varadharaja Krishna, Dibya Nandan Mishra, Pranay Kumar

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Data Insights by Using Data Visualization and Exploration

- Pp. 72-83 (12)
Choppala Swathi Priya*, Sai Santosh Potnuru, Ishank Jha, Hemachandran K., Chinna Swamy Dudekula

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Application of Computer Vision to Laboratory Experiments

- Pp. 84-92 (9)
P.K. Thiruvikraman*, Devendra Dheeraj Gupta Sanagapalli, Simran Sahni

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Violence Detection for Smart Cities using Computer Vision

- Pp. 93-105 (13)
Jyoti Madake*, Shripad Bhatlawande, Abhishek Rajput, Aditya Rasal, Sambodhi Umare, Varun Shelke, Swati Shilaskar

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A Big Data Analytics Architecture Framework for Oilseeds and Textile Industry Production and International Trade for Sub-Saharan Africa (SSA)

- Pp. 106-139 (34)
Gabriel Kabanda*

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A Design of Lighting and Cooling System for Museum and Heritage Sites

- Pp. 140-149 (10)
Amrapali Nimsarkar, Piyush Kokate*, Mamta Tembhare, Harikumar Naidu

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Predict Network Intruder Using Machine Learning Model and Classification

- Pp. 150-171 (22)
Chithik Raja*, Hemachandran K., V. Devarajan, K. Jarina Begum

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Machine Learning Based Crop Recommendation System

- Pp. 172-185 (14)
Keerti Adapa, Sudheer Hanumanthakari*

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Artificial Neural Networks based Distributed Approach for Heart Disease Prediction

- Pp. 186-196 (11)
Thakur Santosh*, Hemachandran K., Sandip K. Chourasiya, Prathyusha Pujari, K. Vishal, B. R. S. S. Sowjanya

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Reinforcement Learning Based Automated Path Planning in Garden Environment using Depth - RAPiG-D

- Pp. 197-208 (12)
S. Sathiya Murthi*, Pranav Balakrishnan, C. Roshan Abraham, V. Sathiesh Kumar

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Analysis of Human Gait by Selecting Anthropometric Data Based on Machine Learning Regression Approach

- Pp. 209-219 (11)
Nitesh Singh Malan*, Mukul Kumar Gupta*

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Subject Index

- Pp. 220-224 (5)
Hemachandran K., Raul V. Rodriguez, Umashankar Subramaniam, Valentina Emilia Balas
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