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Advances in Intelligent Systems and Machine Learning: Bridging Theory and Application Unabridged edition [Kõva köide]

  • Formaat: Hardback, 688 pages, kõrgus x laius: 212x148 mm
  • Ilmumisaeg: 01-Jul-2026
  • Kirjastus: Cambridge Scholars Publishing
  • ISBN-10: 1036473163
  • ISBN-13: 9781036473167
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  • Formaat: Hardback, 688 pages, kõrgus x laius: 212x148 mm
  • Ilmumisaeg: 01-Jul-2026
  • Kirjastus: Cambridge Scholars Publishing
  • ISBN-10: 1036473163
  • ISBN-13: 9781036473167
Teised raamatud teemal:
This timely volume offers a comprehensive exploration of cutting-edge developments in intelligent systems and machine learning, making it an essential resource for researchers, practitioners, and graduate students. Bridging theoretical foundations with practical implementations, the book addresses real-world applications in healthcare, finance, smart systems, and cybersecurity. Each chapter is authored by leading experts and includes case studies, algorithms, and comparative evaluations to demonstrate practical relevance. The book also highlights emerging trends such as explainable AI, federated learning, and hybrid intelligence, offering readers a forward-looking perspective. Designed for both academic and industry audiences, it provides actionable insights into deploying ML models in complex environments. With contributions from a global network of scholars, it reflects diverse perspectives and interdisciplinary approaches. Its accessible structure and rich content make it a valuable reference for curriculum enhancement, research development, and solution-driven innovation across multiple domains of AI and machine learning.
Dr Suneeta Satpathy is currently working as an Associate Professor at the Center for Cyber Security, SOA (Siksha 'O' Anusandhan) University, Bhubaneswar, Odisha, India. She received her PhD from Utkal University, Bhubaneswar, Odisha, in the year 2015, with a Directorate of Forensic Sciences, MHA (Ministry of Home Affairs) scholarship from the Govt. of India.Dr Sachi Nandan Mohanty received his Post Doc from the Indian Institute of Technology Kanpur, India in the year 2019 and PhD from the Indian Institute of Technology Kharagpur, India in the year 2015, with an MHRD (Ministry of Human Resource Development) scholarship from the Govt. of India. Dr Deepthi Godavarthi received a PhD degree from Andhra University, Andhra Pradesh, India, in 2022. She is currently an Assistant Professor with the School of Computer Science and Engineering, Vellore Institute of Technology, Andhra Pradesh (VIT-AP) University, Amaravati.Dr Deepa Jose is a distinguished academician and researcher with over 18 years of teaching and research experience. She earned her Master's and Doctorate degrees from the prestigious College of Engineering, Guindy, Chennai, India. Currently, she serves as the Head of Sponsored Research and Consultancy and Professor in the Department of Electronics and Communication Engineering at KCG College of Technology, India.