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Smart Systems: Engineering and Managing Information for Future Success: Navigating the Landscape of Intelligent Technologies 2025 ed. [Hardback]

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  • Formāts: Hardback, 230 pages, height x width: 235x155 mm, 47 Illustrations, color; 14 Illustrations, black and white; VI, 230 p. 61 illus., 47 illus. in color., 1 Hardback
  • Sērija : Information Systems Engineering and Management 22
  • Izdošanas datums: 25-Feb-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031761510
  • ISBN-13: 9783031761515
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  • Hardback
  • Cena: 180,78 €*
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  • Formāts: Hardback, 230 pages, height x width: 235x155 mm, 47 Illustrations, color; 14 Illustrations, black and white; VI, 230 p. 61 illus., 47 illus. in color., 1 Hardback
  • Sērija : Information Systems Engineering and Management 22
  • Izdošanas datums: 25-Feb-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031761510
  • ISBN-13: 9783031761515
Citas grāmatas par šo tēmu:

In an era where technology is rapidly advancing, Smart Systems: Engineering and Managing Information for Future Success offers a comprehensive exploration of cutting-edge technologies that are reshaping industries and societies. This book delves into the integration of Artificial Intelligence (AI), Internet of Things (IoT), cloud computing, and advanced data analytics to create smarter systems that drive innovation and efficiency across various sectors.

AI and IoT enabled healthcare applications.- Behavioral Decentralized
Biometrics-Based Trust Score Authentication (BDB-TSA) Scheme to Assess Device
Legitimacy in IoT.- Embracing the Synergy of Cloud Computing and Business
Intelligence.- Enhanced Pneumonia Detection Through EfficientNetV2-L, Vision
Transformer (ViT), and ResNet-50 Image Analysis.- Ethics in AI: Balancing
Innovation with Responsibility.- Exploring AIs Prowess in Advancing
Cybersecurity.- Governance Frameworks for Smart Systems.- Healthcare
Reimagined: The Impact of AI on Data Analytics.- Introduction to Fuzzy Logic
and its applications in Machine learning.- Nano enabled Materials Innovation
and Optimization.- Predicting Student Performance through Demographic
Attributes.- Wearable Health Technology a perspective.
Dr. Shubham Mahajan, a member of prestigious organizations such as IEEE, ACM, and IAENG. He earned his B.Tech. degree from Baba Ghulam Shah Badshah University, his M.Tech. degree from Chandigarh University, his Ph.D. degree from Shri Mata Vaishno Devi University (SMVDU) in Katra, India. Currently, he serves as an Assistant Professor at Amity University, Haryana. 





Dr. Mahajan has a remarkable track record in the field of artificial intelligence and image processing, holding an impressive portfolio of seventeen Indian patents, as well as one Australian and one German patent. His contributions to the field are further evidenced by his extensive publication record, which includes over 84 articles published in peer-reviewed journals and conferences and 8 edited books. His research interests span a wide array of topics, encompassing image processing, video compression, image segmentation, fuzzy entropy, nature-inspired computing methods, optimization, data mining, machine learning, robotics, and optical communication. Notably, his dedication and expertise have earned him the 'Best Research Paper Award' from ICRIC 2019, published by Springer in the LNEE series.





Dr. Alvaro Rocha was listed in 2023 as Worlds 1% Top Scientists by Stanford University and Elsevier, Worlds Top 0.05% Scientist by ScholarGPS, and Worlds Top 1% Scientist by ResearchGate for the fields of Information Science and Information Systems. He is Professor at ISEG, University of Lisbon, Invited Professor at University of Calabria, Honorary Professor at Amity University, President of ITMA - Information and Technology Management Association, Vice-Chair of IEEE SMC Portugal Chapter, and Book Series Scientific Manager at Springer-Nature. He holds the title of Honorary Professor, and holds a D.Sc. in Information Science, Ph.D. in Information Systems and Technologies, M.Sc. in Information Management, and BCs in Computer Science.





Dr. Amit Kant Pandit is serving as Professor at Shri Mata Vaishno Devi University (SMVDU), India. He has authored/co-authored more than 60 publications including peer-reviewed journals and conferences and has multiple Indian and one Australian Patent to his credit. He is a Fellow IEI, Senior member of IEEE and MIR labs and has 22+ years of academic experience.





Dr. Paras Chawla received his B.Tech. (Honors) and M.Tech. degree from Kurukshetra University; NIT, Kurukshetra and Ph. D. from Thapar University, Patiala. Completed One year Online Post Graduate Program in Artificial Intelligence and Machine Learning from Purdue University, USA & master course program from IBM. He has more than 21 years of academic, Research, industry & administration experience and currently working as Professor & Director, Amity School of Engineering & Technology (ASET) and Amity Institute of Information Technology (AIIT), Amity University Haryana. Demonstrated leadership roles such as Zonal Head- IT Academics, Associate Dean and Head of the departments. Led as a Head of Department (HOD) six-year NBA accreditation at Chandigarh University. He managed NBA, NAAC, and ABET accreditations and steered NAAC, NIRF rankings at multiple levels.