Editors: Sonali Mahendra Kothari, Vijayshri Nitin Khedkar, Ujwala Kshirsagar, Gitanjali Rahul Shinde

Research Trends in Artificial Intelligence: Internet of Things

eBook: US $49 Special Offer (PDF + Printed Copy): US $99
Printed Copy: US $74
Library License: US $196
ISBN: 978-981-5136-45-6 (Print)
ISBN: 978-981-5136-44-9 (Online)
Year of Publication: 2023
DOI: 10.2174/97898151364491230101

Introduction

Stay informed about recent trends and groundbreaking research driving innovation in the AI-IoT landscape.

AI, a simulated form of natural intelligence within machines, has revolutionized various industries, simplifying daily tasks for end-users. This book serves as a handy reference, offering insights into the latest research and applications where AI and IoT intersect. The book includes 12 edited chapters that provide a comprehensive exploration of the synergies between AI and IoT. The contributors attempt to address engineering opportunities and challenges in different fields.

Key Topics:

  • - AI and IoT in Smart Farming: Explore how these technologies enhance crop yield and sustainability, revolutionizing agricultural practices.
  • - AIoT (Artificial Intelligence of Things): Understand the amalgamation of AI and IoT and its applications, particularly focusing on smart cities and agriculture.
  • - Smart Healthcare and Predictive Disease Analysis: Uncover the crucial role of AI and IoT in early disease prediction and improving healthcare outcomes.
  • - Applications of AI in Various Sectors: Explore how AI contributes to sustainable development, sentiment analysis, education, autonomous vehicles, fashion, virtual trial rooms, and more.

Each chapter has structured sections with summaries and reference lists, making it an invaluable resource for researchers, professionals, and enthusiasts keen on understanding the potential and impact of these technologies in today's rapidly evolving world.

Readership

IT researchers, professionals, and enthusiasts.

Foreword

- Pp. i
Parikshit N. Mahalle
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Preface

- Pp. ii
Sonali Mahendra Kothari, Vijayshri Nitin Khedkar, Ujwala Kshirsagar, Gitanjali Rahul Shinde
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List of Contributors

- Pp. iii-iv (2)

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IoT and AI-based Smart Farm: Optimizing Crop Yield and Sustainability

- Pp. 1-17 (17)
Namrata Nishant Wasatkar*, Pranali Gajanan Chavhan, Vikas Kanifnath Kolekar

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Impact of Automation, Artificial Intelligence and Deep Learning on Agriculture Crop Yield

- Pp. 18-41 (24)
Prabhakar Laxmanrao Ramteke*

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AIoT: Role of AI in IoT, Applications and Future Trends

- Pp. 42-53 (12)
Reena Thakur*, Prashant Panse, Parul Bhanarkar, Pradnya Borkar

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The Role of Machine Intelligence in Agriculture: A Case Study

- Pp. 54-79 (26)
Prabhakar Laxmanrao Ramteke*, Ujwala Kshirsagar*

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Optimal Feature Selection and Prediction of Diabetes using Boruta- LASSO Techniques

- Pp. 80-95 (16)
Vijayshri Nitin Khedkar*, Sonali Mahendra Kothari, Sina Patel, Saurabh Sathe

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Empowered Internet of Things for Sustainable Development Using Artificial Intelligence

- Pp. 96-119 (24)
Pranali Gajanan Chavhan*, Namrata Nishant Wasatkar, Gitanjali Rahul Shinde

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Digital Twin and Its Applications

- Pp. 120-134 (15)
Kiran Wani*, Nitin Khedekar, Varad Vishwarupe, N. Pushyanth

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Ontology Based Information Retrieval By Using Semantic Query

- Pp. 135-149 (15)
Rupali R. Deshmukh*, Anjali B. Raut

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Paradigm Shift of Online Education System Due to COVID-19 Pandemic: A Sentiment Analysis Using Machine Learning

- Pp. 150-166 (17)
Prajkta P. Chapke*, Anjali B. Raut

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Image Processing for Autonomous Vehicle Based on Deep Learning

- Pp. 167-185 (19)
Tanvi Raut, Ishan Sarode, Riddhi Mirajkar*, Ruchi Doshi

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Applications of AI and IoT for Smart Cities

- Pp. 186-202 (17)
A. Kannammal*, S. Chandia

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Analysis of RGB Depth Sensors on Fashion Dataset for Virtual Trial Room Implementation

- Pp. 203-220 (18)
Sonali Mahendra Kothari*, Vijayshri Nitin Khedkar, Rahul Jadhav, Madhumita Bawiskar

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Subject Index

- Pp. 221-225 (5)
Sonali Mahendra Kothari, Vijayshri Nitin Khedkar, Ujwala Kshirsagar, Gitanjali Rahul Shinde
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