Ketan Kotecha – författare

Focusing on the broader areas of Industry 4.0 as it applies to small and medium-sized enterprises (SMEs), this book offers a smooth adoption of techniques and technologies and presents advances, challenges, and opportunities for implementation. It will also enhance the role of academia by training new engineers on Industry 4.0 and digital transformation.

Industry 4.0 in Small and Medium-Sized Enterprises (SMEs): Opportunities, Challenges, and Solutions presents concepts of predictive maintenance, digital factory, digital twin, additive manufacturing, and machining for sustainable development. It discusses the challenges faced by adopting Industry 4.0 including new security and privacy measures in the whole smart manufacturing setup while also explaining the impact of Industry 4.0 on Lean production systems. Implementation recommendations in the form of case studies, research studies, and the role academia can play are also provided.

Practitioners, research scholars, academicians, and those studying or working in the Industry 4.0 sector will find this book of interest.

Focusing on the broader areas of Industry 4.0 as it applies to small and medium-sized enterprises (SMEs), this book offers a smooth adoption of techniques and technologies and presents advances, challenges, and opportunities for implementation. It will also enhance the role of academia by training new engineers on Industry 4.0 and digital transformation.

Industry 4.0 in Small and Medium-Sized Enterprises (SMEs): Opportunities, Challenges, and Solutions presents concepts of predictive maintenance, digital factory, digital twin, additive manufacturing, and machining for sustainable development. It discusses the challenges faced by adopting Industry 4.0 including new security and privacy measures in the whole smart manufacturing setup while also explaining the impact of Industry 4.0 on Lean production systems. Implementation recommendations in the form of case studies, research studies, and the role academia can play are also provided.

Practitioners, research scholars, academicians, and those studying or working in the Industry 4.0 sector will find this book of interest.

This book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 97 selected papers from the 22nd International Conference on Hybrid Intelligent Systems (HIS 2022) and 26 papers from the 18th International Conference on Information Assurance and Security, which was held online, from 13 to 15 December 2022. A premier conference in the field of artificial intelligence and machine learning applications, HIS–IAS 2022, brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from over 35 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.

This book constitutes the proceedings of the First International Conference, AI4S 2023, held in Pune, India, during September 4-5, 2023.

The 14 full papers and the 2 short papers included in this volume were carefully reviewed and selected from 72 submissions. This volume aims to open discussion on trustworthy AI and related topics, trying to bring the most up to date developments around the world from researchers and practitioners.

This book commences with an editorial overview, providing a comprehensive introduction to the current landscape and future prospects in engineering and technology. Volume 1 of the International Conference on Innovative Discoveries and Emerging Advancements in Applied Sciences (iDEAAS) 2024 proceedings is a groundbreaking compilation that encapsulates the forefront of engineering and technological innovations. This meticulously curated book serves as a cornerstone for professionals, academics, and students who are navigating the ever-evolving realms of engineering and technology. This sets the tone for a deep dive into a series of specialized topics.

In the aerospace and marine technologies section, the book presents pioneering research and studies. It offers insights into the latest advancements in aerospace engineering, delving into the complexities and innovations in aircraft and spacecraft design. Simultaneously, it explores the strides made in marine technologies, highlighting the synergies and technological crossovers between these two critical fields. The infrastructure and environment section addresses one of the most pressing concerns of the 21st century—sustainable development. This section is particularly insightful for its focus on the environmental impact of infrastructure development and the challenges of maintaining ecological balance.

Mechatronics and automation is another highlight of this volume, where the fusion of mechanical engineering, electronics, and computing leads to fascinating innovations in automation and system design. This section underscores the importance of interdisciplinary approaches in solving complex engineering problems and enhancing operational efficiency in various industries. In the realm of computing and information technology, the book explores the transformative impact of digital technologies on engineering.

The book culminates with a comprehensive summary that not only synthesizes the key themes discussed but also looks ahead at the future of engineering and technology. It offers a visionary perspective on the emerging trends and potential advancements that are poised to redefine the engineering landscape.

This book includes selected papers from the International Conference on Data Science and Intelligent Applications (ICDSIA 2020), hosted by Gandhinagar Institute of Technology (GIT), Gujarat, India, on January 24–25, 2020. The proceedings present original and high-quality contributions on theory and practice concerning emerging technologies in the areas of data science and intelligent applications. The conference provides a forum for researchers from academia and industry to present and share their ideas, views and results, while also helping them approach the challenges of technological advancements from different viewpoints.

The contributions cover a broad range of topics, including: collective intelligence, intelligent systems, IoT, fuzzy systems, Bayesian networks, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, speech processing, machine learning and deep learning, and intelligent applications and systems. Helping strengthen the links between academia and industry, the book offers a valuable resource for instructors, students, industry practitioners, engineers, managers, researchers, and scientists alike.