Editors: Dumpala Shanthi, B. Madhuravani, Ashwani Kumar

Handbook of Artificial Intelligence

eBook: US $69 Special Offer (PDF + Printed Copy): US $126
Printed Copy: US $91
Library License: US $276
ISBN: 978-981-5124-52-1 (Print)
ISBN: 978-981-5124-51-4 (Online)
Year of Publication: 2023
DOI: 10.2174/9789815124514123010001

Introduction

Artificial Intelligence (AI) is an interdisciplinary science with multiple approaches to solve a problem. Advancements in machine learning (ML) and deep learning are creating a paradigm shift in virtually every tech industry sector.

This handbook provides a quick introduction to concepts in AI and ML. The sequence of the book contents has been set in a way to make it easy for students and teachers to understand relevant concepts with a practical orientation. This book starts with an introduction to AI/ML and its applications. Subsequent chapters cover predictions using ML, and focused information about AI/ML algorithms for different industries (health care, agriculture, autonomous driving, image classification and segmentation, SEO, smart gadgets and security). Each industry use-case demonstrates a specific aspect of AI/ML techniques that can be used to create pipelines for technical solutions such as data processing, object detection, classification and more.

Additional features of the book include a summary and references in every chapter, and several full-color images to visualize concepts for easy understanding. It is an ideal handbook for both students and instructors in undergraduate level courses in artificial intelligence, data science, engineering and computer science who are required to understand AI/ML in a practical context.

Audience: Students and instructors in artificial intelligence, data science, engineering and computer science courses

Preface

- Pp. i
Dumpala Shanthi, B. Madhuravani, Ashwani Kumar
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List of Contributors

- Pp. ii-iii (2)

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Machine Learning Techniques and their Applications: Survey

- Pp. 1-18 (18)
P. Karthik*, K. Chandra Sekhar, D. Latha

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Applications of Machine Learning

- Pp. 19-44 (26)
K. Sudheer Babu*, CH. M. Reddy, A. Swapna, D. Abdus Subhahan

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Prediction using Machine Learning

- Pp. 45-74 (30)
Adluri Vijaya Lakshmi*, Sowmya Gudipati Sri, Ponnuru Sowjanya, K. Vedavathi

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Machine Learning Algorithms for Health Care Data Analytics Handling Imbalanced Datasets

- Pp. 75-96 (22)
T. Sajana*, K.V.S.N. Rama Rao

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AI for Crop Improvement

- Pp. 97-111 (15)
S.V. Vasantha*

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Real-Time Object Detection and Localization for Autonomous Driving

- Pp. 112-127 (16)
Swathi Gowroju*, V. Swathi, J. Narasimha Murthy, D. Sai Kamesh

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Machine Learning Techniques in Image Segmentation

- Pp. 128-143 (16)
Narmada Kari*, Sanjay Kumar Singh, Dumpala Shanthi

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Optimal Page Ranking Technique for Webpage Personalization Using Semantic Classifier

- Pp. 144-164 (21)
P. Pranitha*, A. Manjula, G. Narsimha, K. Vaishali

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Text Analytics

- Pp. 165-194 (30)
Divanu Sameera*, Niraj Sharma, R.V. Ramana Chary

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Human Activity Recognition System Using Smartphone

- Pp. 195-203 (9)
R. Usha Rani*, M. Sunitha

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Smart Water Bottle with Smart Technology

- Pp. 204-219 (16)
Dumpala Shanthi*

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Real World Applications of Machine Learning in Health Care

- Pp. 220-230 (11)
Kari Narmada*, Sanjay Kumar Singh, Dumpala Shanthi

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Investigating and Identifying Fraudulent Behaviors of Medical Claims Data Using Machine Learning Algorithms

- Pp. 231-254 (24)
Jyothi P. Naga*, K.V.S.N. Rama Rao, L. Rajya, S. Suresh

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Security Threats and Detection Mechanisms in Machine Learning

- Pp. 255-274 (20)
K. Madhuri*

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Subject Index

- Pp. 275-280 (6)
Dumpala Shanthi, B. Madhuravani, Ashwani Kumar
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