Artificial Intelligence, Machine Learning and User Interface Design

Abhijit Banubakode,Sunita Dhotre,Chhaya S. Gosavi

• Publisher: Bentham Science Publishers
• Year: 2024
• ISBN:
  9789815179606
• Topic: Computer Science
• Subtopic: Human-Computer Interaction
• Index: Computer Science

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.

Table of contents

• Welcome
• Table of Content
• Title
• BENTHAM SCIENCE PUBLISHERS LTD.
• PREFACE
• List of Contributors
• Artificial Taste Perception of Tea Beverage Using Machine Learning
• Significance of Evolutionary Artificial Intelligence: A Detailed Overview of the Concepts, Techniques, and Applications
• Impact of Deep Learning on Natural Language Processing
• A Review on Categorization of the Waste Using Transfer Learning
• Automated Bird Species Identification using Audio Signal Processing and Neural Network
• Powering User Interface Design of Tourism Recommendation System with AI and ML
• Exploring the Applications of Complex Adaptive Systems in the Real World: A Review
• Insights into Deep Learning and Non-Deep Learning Techniques for Code Clone Detection
• Application Using Machine Learning to Predict Child’s Health
• Shifting from Red AI To Green AI
• Knowledge Representation in Artificial Intelligence - A Practical Approach
• File Content-based Malware Classification
• Enhancing Efficiency in Content-based Image Retrieval System Using Pre-trained Convolutional Neural Network Models
• Role of Artificial Intelligence (AI) in Solid Waste Management: A Synopsis