Books by Keyword: Deep Learning

Description: This proceedings volume presents peer-reviewed papers selected from the 4th SLIIT International Conference on Engineering and Technology 2025 (SICET 2025). The contributions cover applied research and practical innovations across engineering and technology, including sustainable construction materials, industrial automation and mechatronics, communication, water and wastewater treatment, and some approaches of industrial management. The volume offers a multidisciplinary snapshot of current research trends and implementable solutions with relevance to researchers, practitioners, and industry stakeholders.

Description: The edition contains articles based on research results presented at the 3rd International Conference of Multidisciplinary Engineering and Applied Sciences (ICMEAS, 30 June - 1 July 2025, Abuja, Nigeria), that will be useful for a wide range of engineers and researchers in materials science, mechanical engineering, manufacturing and engineering science.

Description: The edition contains articles based on research results that were presented at the 15th International Civil Engineering Conference (ICEC 2025), which was organised jointly by the NED University of Engineering and Technology and the Institution of Engineers Pakistan and held on November 7–8, 2025, in Karachi, and devoted to actual problems in modern civil engineering. The book will be useful for specialists in construction and water resources engineering.

Description: The main topics of this special edition are non-conventional material processing technologies, both conventional materials and materials with specific properties for functional applications. The electrochemical and electro-physical machining processes, including precision pulsed electrochemical machining, laser beam cutting, additive manufacturing, layered hybrid composite tube manufacturing, etc. The edition ranges from surface engineering to forming methods of complex hybrid composite materials. The research results for numerical modelling of the mechanical behaviour of innovative non-conventional materials and hybrid structures are also presented here. The book will be useful for researchers and engineers in mechanical engineering.

Description: This edition contains articles based on research results presented at the 3rd International Conference on Multidisciplinary Engineering and Applied Sciences (ICMEAS 2025), held from 30 July to 1 August 2025 in Abuja, Nigeria, and dedicated to recent issues in engineering management in aircraft, gas production and distribution and water security, applied use of artificial intelligence and some issues of cybersecurity and also analysis of recent trends in technologies of engineering education organisation. The articles presented will be helpful to many engineers and researchers.

Description: This book presents selected papers from the International Conference on Science, Nano, and Healthcare Technology (ICoSNHT 2024), which focuses on the intersection of fundamental sciences, advanced materials, nanotechnology, and digital innovations for healthcare. Emphasis is placed on sustainable and interdisciplinary approaches, aiming to foster innovations. The contributions in this edition reflect the latest advancements in biomedical materials and technologies, as well as intelligent systems for healthcare applications.

Description: This book presents the transactions of the maiden edition of the University of Namibia (UNAM) International Engineering Conference on Sustainable Emerging Innovations and Technological Advancements, tagged "UNAM IEC-2024", which was held on 02 - 04 December 2024 at the Jose Eduardo Dos Santos (JEDS) Ongwediva Engineering Campus of the University of Namibia. The edition features results of cutting-edge research and technological advancements in sustainable engineering, with a focus on emerging innovations that address global challenges in energy, infrastructure, manufacturing, materials, and digital technologies. The book serves as a valuable resource for academics and engineers seeking to integrate sustainability into engineering and technological development.

Description: The 75th volume of the journal features articles devoted to modern issues related to the development and analysis of green building materials, including concrete and insulation materials. The energy efficiency inspection of the pump system, real-time thermodynamic analysis of gas turbines in combined cycle power plants, a pipeline anomaly and leakage detection mechanism based on deep learning, and an analysis of two tracking control systems for the photovoltaic system are also presented here. This volume will be helpful for a wide range of specialists in construction and mechanical engineering.

Description: This book presents the proceedings of the 10th International Conference on Science and Technology (23-24 October 2024, Yogyakarta, Indonesia), highlighting cutting-edge innovations in engineering. It compiles selected papers from the Computer, Electronics, and Information Technology Symposiums and the Remote Sensing Symposium, showcasing recent advancements, research methodologies, and machine learning and AI applications in these fields. The aim is to provide a comprehensive platform for researchers, practitioners, and industry experts to share knowledge, discuss emerging technologies, and explore interdisciplinary solutions to complex problems. This volume is a valuable reference for those interested in computing and remote sensing trends and future directions, including artificial intelligence, deep learning, IoT, electronics, digital cartography, and geographic information science.

Description: The aim of the book based on the papers presented at the IV International Workshop Advances in Materials Science - AMS-IV 2024 (30-31 May 2024, Bukhara, Uzbekistan) was to encompass an examination of key themes in the latest materials science, integrating both theoretical frameworks and practical applications. The book highlights the mechanical properties of various materials, such as protective coatings and tool steels, emphasizing their behaviour under different processing techniques. It also explores advanced processing techniques, showcasing innovative manufacturing methods like direct metal deposition and CNC machining optimization. The application of nanotechnology is addressed, particularly regarding the influence of nanoparticles on wear resistance and mechanical properties. Furthermore, the integration of machine learning applications is discussed, focusing on how neural networks and deep learning can optimize material compositions and detect surface defects. Finally, the book investigates corrosion and wear resistance, tackling real-world challenges related to material durability in industrial settings. Overall, the edition aims to bridge the gap between theoretical research and industrial application, advancing knowledge in materials science.