Expert Artificial Neural Network Applications for Science and Engineering (Paperback)

Lingala Syam Sundar

ISBN 13: 9798369372517

Verlag: IGI Global, Hershey, PA, 2025

Beschreibung

Paperback. Advancements in Artificial Neural Networks (ANN), machine learning, and deep learning are transforming the way complex science and engineering problems are addressed, offering solutions where traditional methods fall short. These technologies enable accurate modeling and analysis in areas such as heat transfer, desalination processes, pollutant biodegradability, and material science, contributing to sustainable development and innovative engineering practices. By applying these methods, researchers can enhance efficiency, optimize resource use, and tackle pressing environmental challenges. This integration of advanced computational tools into real-world applications represents a significant leap forward in addressing multidisciplinary engineering and scientific challenges. Expert Artificial Neural Network Applications for Science and Engineering provides a complete understanding of the ANNs for engineering practices. It discusses current developments in solving complicated engineering problems that cannot be solved using traditional methods. Covering topics such as industrial equipment reliability, manufacturing processes, and air quality forecasting, this book is an excellent resource for mechanical engineers, chemical engineers, civil engineers, electrical engineers, biomedical engineers, computer scientists, professionals, researchers, scholars, academicians, and more. "The goal of this book is to use an expert Artificial Neural Network (ANN) to solve various science and engineering application problems and to discuss current developments in solving complicated engineering problems that cannot be solved using traditional methods"-- This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Bestandsnummer des Verkäufers 9798369372517

Bibliografische Details

• Titel: Expert Artificial Neural Network Applications for Science and Engineering (Paperback)
• Verlag: IGI Global, Hershey, PA
• Erscheinungsjahr: 2025
• Sprache: Englisch
• ISBN-13: 9798369372517
• Einband: Paperback
• Zustand: new

Über diesen Titel

Inhaltsangabe

Advancements in Artificial Neural Networks (ANN), machine learning, and deep learning are transforming the way complex science and engineering problems are addressed, offering solutions where traditional methods fall short. These technologies enable accurate modeling and analysis in areas such as heat transfer, desalination processes, pollutant biodegradability, and material science, contributing to sustainable development and innovative engineering practices. By applying these methods, researchers can enhance efficiency, optimize resource use, and tackle pressing environmental challenges. This integration of advanced computational tools into real-world applications represents a significant leap forward in addressing multidisciplinary engineering and scientific challenges. Expert Artificial Neural Network Applications for Science and Engineering provides a complete understanding of the ANNs for engineering practices. It discusses current developments in solving complicated engineering problems that cannot be solved using traditional methods. Covering topics such as industrial equipment reliability, manufacturing processes, and air quality forecasting, this book is an excellent resource for mechanical engineers, chemical engineers, civil engineers, electrical engineers, biomedical engineers, computer scientists, professionals, researchers, scholars, academicians, and more.

Über die Autorinnen und Autoren

Dr. Lingala Syam Sundar is currently working at Prince Mohammed Bin Fahd University, Kingdom of Saudi Arabia. Dr. Syam Sundar obtained his doctorate in the field of Energy Systems from Jawaharlal Nehru Technological University, Hyderabad, India in 2010 and Post Doc Research Fellow from University of Aveiro, 2016 and M. Tech in Thermal Engineering from Jawaharlal Nehru Technological University, Hyderabad, India in 2003 and B. Tech in Mechanical Engineering from Andhra University, India in 1998. Dr. Syam Sundar has an expertise in Thermal process engineering, power plant design and Nanofluids heat transfer, Synthesis of hybrid nanoparticles, Thermophysical properties analysis, CFD analysis and Finite Element Method analysis. He has more than 110 publications to his credit in journals and conferences of international repute and supervised 2 PhD research works with another 2 on-going. He is the top 100 thousand or in the top 2 per cent of the most cited researchers in the world throughout their career and in their scientific field, according to a Stanford University study signed by the team led by John P.A. Ioannidis.

Deepanraj Balakrishnan is currently working as Research Faculty in the Department of Mechanical Engineering, College of Engineering at Prince Mohammad Bin Fahd University, Saudi Arabia. Dr. Deepanraj received his Bachelor’s degree in Mechanical Engineering and Master’s Degree in Thermal Engineering from Anna University, Chennai and Ph.D degree in Mechanical Engineering from National Institute of Technology, Calicut. He also completed his MBA in Energy Management from Jaipur National University. He has more than10 years of working experience, which include both teaching and research. Dr. Deepanraj has published more than 100 research articles in peer reviewed international journals and conferences and holds 2 Indian patent. He is serving as guest editor, editorial board member and reviewer for many international peer reviewed journals including well known publishers like Elsevier, Springer and Inderscience. His area of interest includes Renewable Energy Utilization; Energy Conservation and Waste Management and Optimization Techniques.

Dr. Antonio C. M. Sousa is a Professor Emeritus of University of New Brunswick (Canada) and he is currently a Principal Investigator of TEMA, the R&D Unit of the Department of Mechanical Engineering at University of Aveiro (Portugal), and an Invited Full Professor of this department. He received his MSc and PhD in Mechanical Engineering (Thermal-Fluids) from the Victoria University of Manchester (UMIST), England, UK, in 1974 and 1977, respectively. Prior to his graduate studies he had three years of academic and industrial activity. He joined the Department of Mechanical Engineering, University of Brasília, Brazil soon after the award of his PhD degree, first as Associate Professor and Director of Graduate Studies and later on as Acting Chair. Late in 1977, he moved, as Senior Engineer and Head of the Thermal-Fluids Division of the Fuel Department, to the Brazilian Nuclear Companies, SA, Rio de Janeiro, Brazil. He participated in the First Fuel Reload Project of Angra I Westinghouse 600 MWe PWR. After the project was successfully completed in 1980, he took an Associate Professorship with the Department of Mechanical Engineering, University of New Brunswick (UNB); in 1985 he was promoted to Full Professor. In 2010 he retired from University of New Brunswick and he became a Full Professor at University of Aveiro on a full-time basis and from 2011 to 2015 he served as Director of the Department of Mechanical Engineering. From 2016 on, he has maintained close collaboration with the Guangzhou Institute of Energy Conversion – Chinese Academy of Sciences (CAS), while remaining a member of TEMA. At CAS, from May 1, 2017 to April 30, 2018, he was Presidential Initiative Fellow and Visiting Professor, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences (CAS), and since then Senior Consultant. In addition to the positions already mentioned, he was Director - Coordinator, Centre of Extension Studies, University of Macao (01/1995 -12/1996), and Member, Board of Directors, Centre for Productivity and Technology Transfer of Macao (05/1996 - 09/1998).