New Machine Learning Methods for the Sustainable Development Goals

Inbunden, Engelska, 2027

AvAydin Shishegaran,Timon Rabczuk,Mohsen Saeedi,Ahmad Fauzi bin Ismail

2 229 kr

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This book is a collection of new artificial intelligence methods, including new regression, machine learning, deep learning, hybrid, and ensemble models, published in recent years. The algorithms and structures of these methods are clearly explained such that the readers can use them in their studies and projects. In addition, by presenting several examples for models, the strengths and weaknesses of each model are explained to help the readers to select the best model for each kind of dataset. Therefore, the readers can purposefully and usefully select the appropriate models among all models. As a result, the first advantage of this book in comparison to other books refers to presentation of the new AI models in details, comparison them with respect to their capability and feature, and some criteria to select the appropriate model for the various dataset. Moreover, this book provides the required information on sustainable development, which the students need to know, as well as the advanced information and details for using new AI approaches for sustainable development goals.To improve the criterion in the sustainable development, management of the current and future situation is one the important factors to have better situation with respect to sustainability, which function needs the prediction approaches for future; for example, for environmental indicators, like the management of air pollution, climate change, waste, and energy consumption. Als, the sustainability has other variables, such as social, technical, and economic indicators that to management of these indicators, the new AI can efficiently be used. Furthermore, the new AI can increase the number of models and estimate more indicators in multi-criteria decision analysis; therefore, the accuracy of this type of analyses to have a sustainable production and development can improve regarding an increase in the number of options and indicators, which the cost and time of analyses will be decreased using the AI methods. Briefly, this book provides many new stronger AI approaches for the various studies in sustainable development that are very interesting for the researchers and students.

Produktinformation

Utgivningsdatum2027-01-14
Mått210 x 280 x undefined mm
FormatInbunden
SpråkEngelska
Antal sidor384
FörlagTaylor & Francis Ltd
ISBN9781032995687

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Timon Rabczuk is Professor of Computational Mechanics at Bauhaus University Weimar. He has published more than 650 articles and 2 books. Timon is editor in Chief of CMC-Computers, Materials and Continua, associate editor of International Journal of Impact Engineering, Applied Physics A, International Journal of Mechanics and Materials in Design, Underground Space, Defense Technology and executive editor of FSCE-Frontiers of Structural and Civil Engineering. He is a member of the European Academy of Sciences and Arts. His research interests include Computational Science, Integrated Computational Materials Engineering and the numerical solution of partial differential equations.Ahmad Fauzi bin Ismail graduated with a B.Eng. (Petroleum Engineering) and M.Sc. In (Chemical Engineering) from Universiti Teknologi Malaysia (UTM). He was awarded the Commonwealth Academic Staff Scholarship to pursue his Ph.D. in Chemical and Process Engineering at the University of Strathclyde, Glasgow, United Kingdom, specializing in membrane technology, where he managed to successfully complete his study in less than three years.His research interest is in the development of polymeric, inorganic and novel mixed matrix membranes for water desalination, wastewater treatment, gas separation processes, membrane for palm oil refining, photocatalytic membrane for removal of emerging contaminants, development of haemodialysis membranes and polymer electrolyte membrane for fuel cell applications.As one of the early pioneers of membrane technology in Malaysia, he is the founding Director of Advanced Membrane Technology Research Centre (AMTEC) that has initiated various community projects for more than a decade. He has developed 15 patents, with 20 more pending for approval.As a prolific author, his compendium of publications ranges from over 1400 papers in refereed journals, over 80 book chapters and 11 books. His current Scopus h-index is 112 (63,277 citations) and Web of Science h-index stands at 97 (39,569 citations). He has supervised more than 70 Ph.D. and 50 M.Sc. students to completion as well as having supervised 10 post-doctoral fellows.He is a member of the Malaysia Science Council, Member of The Malaysia Higher Education Council, Member of Higher Education Advisory Committee, Chairman of Malaysia Membrane Society (MyMembrane), Chairman for Selection Committee Of The 14th And 15th National Academic Award And Chairman Of Malaysia Research University Network (MRUN). He serves as a Chief Editor and Editorial Board Members for several reputable international journals.He is also the current chair of Asia Technology Network (ATU-NET). ATU- NET is a network alliances that consists of 38 technological university members across Asia including Brunei, Malaysia, Indonesia, Japan, Phillippines, Thailand, Vietnam, India and Bangladesh.For his continuous contribution in the area of engineering and technology, he was honoured with more than 140 awards at both national and international levels. Datuk Fauzi is also the first Malaysian to receive the Mustafa Prize Laureate (known as OIC or Muslim Nobel Prize) on 2nd October 2023, The World Academy of Sciences (TWAS) Award in Engineering Sciences for 2019, Merdeka Award for the Outstanding Scholastic Achievement Category on 4th september 2014, Malaysia’s Rising Star Award (2016) Highly Cited Researcher for five consecutive years from 2018-2022 by Clarivate Analytics, and ASEAN Young Scientist Award 2001 and Malaysia Young Scientist Award in 2000.Aydin Shishegaran is Lecturer at IU International University of Applied Sciences and another institute in Germany. He got his first Ph.D. in 2022 from Iran University Science and Technology and his second PhD accepted in 2024 at Bauhaus University Weimar. Since, he has published over 27 ISI papers in high-ranked journals and have 772 citations and reviewed 265 manuscripts for high ranked journals. He is editor in journal of mechatronics and artificial intelligence in engineering since 2020. Furthermore, in 2021, he is a guest editor in Sustainability in MDPI. In 2024, he edited a book entitled Applications of Blockchain and Computational Intelligence in Environmental Sustainability for Taylor and Francis. In 2020, he published a new MCDA method for sustainable evaluation. In 2022, 2023, and 2024, he published four new ML methods in high-ranked journal, which one of them is the most cited paper in computers and structures.

Chapter 1: Development Concerning Sustainability Based on AI. Chapter 2: Introduction of New Artificial Intelligence Methods and Their Applications. Chapter 3: New Hybrid and Ensemble Methods and Their Applications. Chapter 4: The Application of AI Methods in Sustainable Development. Chapter 5: Optimization Techniques Based on Artificial Intelligence for Sustainable Development. Chapter 6: Optimization of the Use of Energy and Resource Materials by Machine Learning. Chapter 7: Artificial Intelligence for Wastewater Treatment for Sustainable Development Goals. Chapter 8: Minimization of Waste Production and Recycling by AI Methods for Sustainable Development Goals. Chapter 9: From Detection to Intervention: A Multi-modal AI Framework for Air Pollution Mitigation. Chapter 10: Minimization of the Use of Fossil Fuels by AI Methods. Chapter 11: Optimization of Project Costs by AI Methods. Chapter 12: Improving Safety and Security Using AI. Chapter 13: Improvement of Public Services by AI Methods. Chapter 14: Improvement of Technical Features of Projects by AI Methods. Chapter 15: Artificial Intelligence in Computational Mechanics and Its Effect on Sustainable Design and Analysis. Chapter 16: Use of AI Methods for Multi-Criteria Decision Analysis.