This book presents the selected peer-reviewed proceedings of the International Conference on Thermal Engineering and Management Advances (ICTEMA 2020). The contents discuss latest research in the areas of thermal engineering, manufacturing engineering, and production management. Some of the topics covered include multiphase fluid flow, turbulent flows, reactive flows, atmospheric flows, combustion and propulsion, computational methods for thermo-fluid arena, micro and nanofluidics, renewable energy and environment sustainability, non-conventional energy resources, energy principles and management, machine dynamics and manufacturing, casting and forming, green manufacturing, production planning and management, quality control and management, and traditional and non-traditional manufacturing. The contents of this book will be useful for students, researchers as well as professionals working in the area of mechanical engineering and allied fields.

This book presents the select proceedings of the International Conference on Recent Advances in Materials, Manufacturing and Thermal Engineering (RAMMTE 2022). It broadly covers the topics of manufacturing and thermal engineering. Various topics covered in this book include alternative fuels, automation, mechatronics and robotics, CAD, CAM, FMS, CIM, CN, CFD, failure and fracture mechanics, friction, wear, tribology, and surface engineering, heat treatment, microstructure and refrigeration and cryogenics, heating ventilation and air conditioning system, heat transfer, internal combustion engines, machinability and formability of materials, mechanisms and machines, rapid manufacturing technologies and prototyping, turbo machinery, thermal engineering, and traditional and non-traditional machining processes. This book is useful for researchers and professionals working in the areas of manufacturing and thermal engineering.

This book presents the selected proceedings of 2nd International Conference on Recent Advances in Manufacturing (RAM 2021). The book provides insights to current research trends and opportunities in modelling and optimization of manufacturing processes and systems. The topics covered include modelling analysis, computing and simulation, traditional and non-traditional optimization techniques, surface coating methods, additive manufacturing processes, CAD/CAM, robotics and automation, welding and joining processes, supply chain management and CAE and reverse engineering. This book will be a good reference for beginners, researchers and professionals interested in modelling and optimization related to manufacturing engineering and related fields.

The 1st International Conference on Intelligent Computation and Analytics on Sustainable Energy (ICICASEE 2023) was held at Ghani Khan Choudhury Institute of Engineering & Technology (GKCIET), Malda, West Bengal, India. GKCIET is a premier engineering institute located in Malda, West Bengal, India. Being established in 2010, at present the institute offers B.Tech and Diploma Civil Engineering, Mechanical Engineering, Electrical Engineering, Computer Science and engineering and Food process□ing technology. The conference was aimed to provide a platform for researchers, academicians, indus□try professionals, and students to exchange knowledge and ideas on intelligent computation, analytics, and their applications in sustainable energy systems. The Department of Electrical Engineering of the institute hosted the conference from September 21–23, 2023.

AUTOMATION IN THE WELDING INDUSTRY This volume serves as a multidimensional perspective of welding practices in Industry 5.0 from the perspective of automation, digitization, digital twins, cobots, virtual reality, augmented reality, machine learning, artificial intelligence, and IoT ranging from rudiments to advanced applications. This book introduces the concept of Industry 5.0 in welding technologies, where the human brain collaborates with robots to achieve rapid productivity and economic efficiency. It presents the latest information on adapting and integrating Industry 5.0 in welding industries through critical constituents such as artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), digital twin, augmented and virtual reality (AR & VR), and collaborative robots (Cobots), towards intelligent welding systems. The chapter authors have comprehensively addressed the issues related to welding industries such as a shortage of welders, challenges in critical applications, creating defect-free and quality products through real-time monitoring, feedback systems, and in situ adjustments, etc. The utilization of cobots in welding technology is addressed in real-world problems to move towards a green welding environment (i.e., minimal fumes with less shielding gas) and thereby, less energy consumption. Two or more welding processes are combined to form a hybrid process where the compatibility of existing materials and novel materials can be used in 3D, 4D, and 5D printing of complex geometries. Audience Engineering research scholars, industry welding, and additive manufacturing groups. A diverse group of industries will be interested in this book, such as medical, automotive, construction, pipeline, shipping, aerospace, etc.

This book includes selected peer-reviewed papers presented at the International Conference on Trends in Electronics and Health Informatics (TEHI 2021), organized by Department of Electronics and Communication Engineering and Department of Computer Science and Engineering, Pranveer Singh Institute of Technology Kanpur, India, during 16–17 December 2021. The book is broadly divided into five sections—artificial intelligence and soft computing, healthcare informatics, Internet of things and data analytics, electronics, and communications.

The emergence of the Internet of Medical Things (IoMT) is transforming the management of diseases, improving diseases diagnosis and treatment methods, and reducing healthcare costs and errors. This book covers all the essential aspects of IoMT in one place, providing readers with a comprehensive grasp of IoMT and related technologies. Data Modelling and Analytics for the Internet of Medical Things integrates the architectural, conceptual, and technological aspects of IoMT, discussing in detail the IoMT, connected smart medical devices, and their applications to improve health outcomes. It explores various methodologies and solutions for medical data analytics in healthcare systems using machine learning and deep learning approaches, as well as exploring how technologies such as blockchain and cloud computing can further enhance data analytics in the e-health domain. Prevalent IoMT case studies and applications are also discussed. This book is suitable for scientists, design engineers, system integrators, and researchers in the field of IoMT. It will also be of interest to postgraduate students in computer science focusing on healthcare applications and a supplementary reading for IoMT courses.