Soft Computing in Industry 5.0 for Sustainability
Springer International Publishing (Verlag)
978-3-031-69335-9 (ISBN)
- Noch nicht erschienen - erscheint am 20.12.2024
- Versandkostenfrei
- Auch auf Rechnung
- Artikel merken
Soft computing and Industry 5.0 are two distinct concepts that, when combined, can have a significant impact on sustainability initiatives within various industries. Soft computing is a subfield of artificial intelligence (AI) that aims to address problems characterized by uncertainty, imprecision, and partial truth. It encompasses various computational techniques, such as fuzzy logic, neural networks, genetic algorithms, and machine learning, which enable machines to deal with complex and uncertain data in a more human-like manner. Soft computing techniques are particularly valuable in sustainability efforts because they can handle non-linear relationships and uncertain data that often arise in environmental and social contexts. For example, they can be used to optimize energy consumption, waste management, and resource allocation in industries by considering various factors and trade-offs.
The book highlights the latest innovations in intelligent systems in classical machine learning, deep learning, Internet of Things (IoT), Industrial Internet of Things (IIoT), blockchain, knowledge representation, knowledge management, big data, and natural language processing. (NLP). The book contains many contemporary articles from both scientists and practitioners working in many fields where soft computing, intelligent systems and the IIoT can break new ground. Intelligent systems and the Internet of Things are now essential technologies in almost every field. From agriculture to industry to healthcare, the scope of smart systems and IIoT is as wide as the horizon. Nowadays, these technologies are extensively used in developed countries, but they are still at an early stage in emerging countries.
The primary market of this book is senior undergraduate students, post graduate students, practitioners, researchers, academicians, industrialists, and professionals working in areas of core computer science, electrical engineering, mechanical engineering, environmental engineering and agricultural engineering. The secondary audience of this book is individuals working in the areas of manufacturing, agriculture, remote sensing, environmental engineering, health care, smart cities, smart farming, remote sensing, supply chain management and hydrology.
Dr C Kishor Kumar Reddy, currently working as Associate Professor, Dept. of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India. He has research and teaching experience of more than 12 years. He has published more than 70 research papers in National and International Conferences, Book Chapters, and Journals indexed by Scopus and others. He is an author for 2 text books and 7 co-edited books. He acted as the special session chair for Springer FICTA 2020, 2022, SCI 2021, INDIA 2022 and IEEE ICCSEA 2020 conferences. He is the corresponding editor of AMSE 2021 conferences, published by IoP Science JPCS. He is the member of ISTE, CSI, IAENG, UACEE, IACSIT.
Dr Thandiwe Sithole holds a PhD in Chemical Engineering obtained at the age of 28, Post graduate diploma in Higher education and a certificate of a Emerging leader. She is currently registered for a Masters in Business Administration (MBA) at University of Suffolk (UK). She is a Associate Professor at the Department of Chemical Engineering, Faculty of Engineering and the Built Environment, University of Johannesburg. She is registered with the Engineering Council of South Africa. Dr Sithole has filed one patent and authored/co-authored over 25 peer reviewed publications. She has supervised over 30 undergraduates and postgraduate students. Her mentorship and research experience is enviable as she guides her both undergraduate and postgraduate level students through the research journey. Dr Sithole is a non Executive director and a technical advisory board chair at The Platinum Incubator (TPI). She was one of the nominees for the NRF award (research excellence award for next generation researchers 2019). She was one of the two South African young scientists selected by DST to represent South Africa in the Africa-China young scientist Inn tour. She served in the Women in Engineering and Built Environment (UJ) and the Transformation committees. She is also a recipient of the National Research Foundation (ZA) grants. Dr Sithole is passionate about research excellence and nurturing of other previously disadvantaged South Africans. She is also actively involved in programs for promoting women in science and engineering and has contributed in nurturing a number of female students in the Faculty of Engineering and the built environment. She has partnered with Dr. Tebogo Mashifana and Partners Foundation, a Non-Profit organization focusing on community upliftment projects and youth empowerment.
.
Dr. Mariya Ouaissa is currently a Professor in Cybersecurity and Networks at Cadi Ayyad University and practitioner with industry and academic experience. She is a Ph.D. graduated in 2019 in Computer Science and Networks, at the Laboratory of Modelisation of Mathematics and Computer Science from ENSAM-Moulay Ismail University, Meknes, Morocco. She is a Networks and Telecoms Engineer, graduated in 2013 from National School of Applied Sciences Khouribga, Morocco. She is a Co-Founder and IT Consultant at IT Support and Consulting Center. She was working for School of Technology of Meknes Morocco as a Visiting Professor from 2013 to 2021. She is member of the International Association of Engineers and International Association of Online Engineering, and since 2021, she is an "ACM Professional Member". She is Expert Reviewer with Academic Exchange Information Centre (AEIC) and Brand Ambassador with Bentham Science. She has served and continues to serve on technical program and organizer committees of several conferences and events and has organized many Symposiums/Workshops/Conferences as a General Chair also as a reviewer of numerous international journals. Dr. Ouaissa has made contributions in the fields of information security and privacy, Internet of Things security, and wireless and constrained networks security. Her main research topic
Chapter 1: Industry 5.0: Empowering Collaboration through Advanced Technological Approaches.- Chapter 2: From Industry 4.0 to 5.0: Enriching Manufacturing Excellence through Human-Robot Interaction and Technological Empowerment.- Chapter 3: Exploring the Feasibility of Internet of Things in the Context of Intelligent Healthcare Solutions: A Review.- Chapter 4: Unveiling the Paradigm - Industry 5.0 and the Rise of Soft computing techniques.- Chapter 5: Securing the Predicted Disease Data using Transfer Learning in Cloud Based Healthcare 5.0.- Chapter 6: Sustainable Agriculture: A Critical Analysis of Internet of Things and Soft Computing - Based Solutions.- Chapter 7: Autonomous Agriculture Robot for Smart Farming.- Chapter 8: Agricultural Development in Industry 5.0: Food Manufacturing and Development.- Chapter 9: Novel Approaches for Applied Intellgent Systmes in GIS.- Chapter 10: Federated Learning based Variational Auto-encoder for Prediction of Breast Cancer in Cloud-based Healthcare 5.0.- Chapter 11: Implications of Fuzzysets and Genetic algorithms in disaster mangement scenarios.- Chapter 12: Artificial Intelligence, Soft Computing and Automation in the Transport Industry: Envisioning the Future of Mobility.- Chapter 13: Energy efficient producting using soft computing driven automation in industy 5.0.- Chapter 14: Ethical Implications of AI and Soft computing techniques in indystry 5.0.- Chapter 15: Long Term Sustainability impacts and benefits in Industry 5.0.
| Erscheint lt. Verlag | 20.12.2024 |
|---|---|
| Zusatzinfo | XVI, 484 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Naturwissenschaften ► Biologie ► Ökologie / Naturschutz | |
| Naturwissenschaften ► Geowissenschaften | |
| Technik | |
| Schlagworte | Artificial Intelligence • energy efficiency • Green Supply Chain Management • Industry 5.0 • Soft Computing • sustainable manufacturing |
| ISBN-10 | 3-031-69335-3 / 3031693353 |
| ISBN-13 | 978-3-031-69335-9 / 9783031693359 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
