Editors: Abhijit Banubakode, Sunita Dhotre, Chhaya S. Gosavi, G. S. Mate, Nuzhat Faiz Shaikh, Sandhya Arora

Artificial Intelligence, Machine Learning and User Interface Design

eBook: US $59 Special Offer (PDF + Printed Copy): US $106
Printed Copy: US $77
Library License: US $236
ISBN: 978-981-5179-61-3 (Print)
ISBN: 978-981-5179-60-6 (Online)
Year of Publication: 2024
DOI: 10.2174/97898151796061240101

Introduction

Artificial Intelligence, Machine Learning and User Interface Design is a forward-thinking compilation of reviews that explores the intersection of Artificial Intelligence (AI), Machine Learning (ML) and User Interface (UI) design. The book showcases recent advancements, emerging trends and the transformative impact of these technologies on digital experiences and technologies.

The editors have compiled 14 multidisciplinary topics contributed by over 40 experts, covering foundational concepts of AI and ML, and progressing through intricate discussions on recent algorithms and models. Case studies and practical applications illuminate theoretical concepts, providing readers with actionable insights. From neural network architectures to intuitive interface prototypes, the book covers the entire spectrum, ensuring a holistic understanding of the interplay between these domains.

Use cases of AI and ML highlighted in the book include categorization and management of waste, taste perception of tea, bird species identification, content-based image retrieval, natural language processing, code clone detection, knowledge representation, tourism recommendation systems and solid waste management.

Advances in Artificial Intelligence, Machine Learning and User Interface Design aims to inform a diverse readership, including computer science students, AI and ML software engineers, UI/UX designers, researchers, and tech enthusiasts.

Readership:

Computer science students, AI and ML software engineers, UI/UX designers, researchers, and tech enthusiasts.

Preface

- Pp. i-ii (2)
Abhijit Banubakode, Sunita Dhotre, Chhaya S. Gosavi, G. S. Mate, Nuzhat Faiz Shaikh, Sandhya Arora
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List of Contributors

- Pp. iii

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Artificial Taste Perception of Tea Beverage Using Machine Learning

- Pp. 1-26 (26)
Amruta Bajirao Patil, Mrinal Rahul Bachute*

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Significance of Evolutionary Artificial Intelligence: A Detailed Overview of the Concepts, Techniques, and Applications

- Pp. 27-53 (27)
Ashish Tripathi*, Rajnesh Singh, Arun Kumar Singh, Pragati Gupta, Siddharth Vats, Manoj Singhal

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Impact of Deep Learning on Natural Language Processing

- Pp. 54-75 (22)
Arun Kumar Singh*, Ashish Tripathi, Sandeep Saxena, Pushpa Choudhary, Mahesh Kumar Singh, Arjun Singh

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A Review on Categorization of the Waste Using Transfer Learning

- Pp. 76-91 (16)
Krantee M. Jamdaade, Mrutunjay Biswal*, Yash Niranjan Pitre

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Automated Bird Species Identification using Audio Signal Processing and Neural Network

- Pp. 92-107 (16)
Samruddhi Bhor*, Rutuja Ganage, Hrushikesh Pathade, Omkar Domb, Shilpa Khedkar

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Powering User Interface Design of Tourism Recommendation System with AI and ML

- Pp. 108-135 (28)
P. M. Shelke, Suruchi Dedgaonkar*, R. N. Bhimanpallewar

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Exploring the Applications of Complex Adaptive Systems in the Real World: A Review

- Pp. 136-160 (25)
Ajinkya Kunjir*

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Insights into Deep Learning and Non-Deep Learning Techniques for Code Clone Detection

- Pp. 161-173 (13)
Ajinkya Kunjir*

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Application Using Machine Learning to Predict Child’s Health

- Pp. 174-190 (17)
Saurabh Kolapate*, Tejal Jadhav, Nikhita Mangaonkar

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Shifting from Red AI To Green AI

- Pp. 191-209 (19)
Samruddhi Shetty, Nirmala Joshi*, Abhijit Banubakode

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Knowledge Representation in Artificial Intelligence - A Practical Approach

- Pp. 210-222 (13)
Vandana C. Bagal*, Archana L. Rane, Debam Bhattacharya, Abhijeet Banubakode, Vishwanath S. Mahalle

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File Content-based Malware Classification

- Pp. 223-240 (18)
Mahendra Deore*, Chhaya S. Gosavi

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Enhancing Efficiency in Content-based Image Retrieval System Using Pre-trained Convolutional Neural Network Models

- Pp. 241-262 (22)
Vishwanath S. Mahalle, Narendra M. Kandoi, Santosh B. Patil, Abhijit Banubakode, Vandana C. Bagal

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Role of Artificial Intelligence (AI) in Solid Waste Management: A Synopsis

- Pp. 263-279 (17)
Pankaj Bhattacharjee*, Ashok B. More

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Subject Index

- Pp. 280-285 (6)
Abhijit Banubakode, Sunita Dhotre, Chhaya S. Gosavi, G. S. Mate, Nuzhat Faiz Shaikh, Sandhya Arora
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