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      1. Data och IT
      2. Människa – datorinteraktion

      Reliability Analysis and Modeling for Complex Systems

      AvSeifedine Kadry,Shubham Mahajan

      Häftad, Engelska, 2025

      Del i serien Advances in Reliability Science

      2 032 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Beskrivning

      Reliability Analysis and Modeling for Complex Systems is a crucial resource for engineers and technologists grappling with modern challenges. As technology advances and safety concerns mount, the complexity of systems like autonomous vehicles and critical infrastructure demands innovative reliability assessment methods. This book bridges theory and practice, offering practical solutions for professionals navigating the intricate world of reliability engineering. Through real-world case studies and interdisciplinary insights, it equips readers to address the multifaceted challenges of ensuring dependability in today's interconnected technological landscape.

      • Dives deeply into advanced probabilistic modeling and analysis techniques tailored for complex systems. This content addresses the needs of reliability engineers and researchers who seek to apply cutting-edge methods to their projects
      • Includes interdisciplinary perspectives, such as human factors and cyber-physical systems, which is essential for addressing the real-world challenges the target audience faces. This approach will help readers tackle complex system reliability from multiple angles
      • Real-world case studies that bridge theory and practice, helping practitioners and academics understand how to apply reliability analysis to complex systems in various domains

      Produktinformation

      • Utgivningsdatum:2025-11-07
      • Mått:152 x 229 x 20 mm
      • Vikt:600 g
      • Format:Häftad
      • Språk:Engelska
      • Serie:Advances in Reliability Science
      • Antal sidor:384
      • Förlag:Elsevier Science
      • ISBN:9780443336553

      Utforska kategorier

      • Människa – datorinteraktion inom Data och IT
      • Databaser inom Data och IT
      • Maskinteknik och material inom Naturvetenskap och teknik

      Mer om författaren

      Seifedine Kadry is a Professor in the Department of Mathematics and Computer Science, at Norrof University College, in Norway. He has a Bachelor’s degree in 1999 from Lebanese University, MS degree in 2002 from Reims University (France) and EPFL (Lausanne), PhD in 2007 from Blaise Pascal University (France), HDR degree in 2017 from Rouen University. At present, his research focuses on data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing, and ABET program evaluator for Engineering Tech. He is a Fellow of IET, Fellow of IETE, and Fellow of IACSIT. He is a distinguished speaker of IEEE Computer Society.Dr. Shubham Mahajan is an academic and researcher, member of IEEE, ACM, and IAENG. He earned a B.Tech from Baba Ghulam Shah Badshah University, an M.Tech from Chandigarh University, and a PhD from Shri Mata Vaishno Devi University. He is currently Assistant Professor at Amity University, Haryana. His research spans artificial intelligence and image processing, including video compression, image segmentation, fuzzy entropy, nature-inspired optimization, data mining, machine learning, robotics, and optical communications. He holds patents internationally and has published widely in high-impact venues; he has edited several Scopus-indexed books. He has received multiple awards for research excellence and travel support from IEEE, among others. He has served as IEEE Campus Ambassador at premier institutes and promotes international collaborations. He participates in technical program committees and editorial boards for conferences and journals, shaping discourse in AI and image processing.

      Innehållsförteckning

      • 1. The Rationale behind Reliability Analysis in Complex Systems: Issues, Challenges, and the Imperative of Addressing Human Factors2. A Reliability Modelling and Exploratory Data Analysis Approach to Understanding Complex Human Well-Being Systems: Decoding the Interplay of Financial Prosperity and Life Satisfaction3. Deep Learning augmented Human Detection and Reliable Assessment for Search and Rescue in Disasters4. Exploratory Human Factors Analysis for Reliable Happiness Perception in Complex Social Media Systems5. Human Factors and Reliability in Complex Systems6. Human Factors design considerations for complex systems7. Impact of Smart Healthcare Devices in daily life8. LEVERAGING AI TO ENHANCE HUMAN FACTOR ANALYSIS IN COMPLEX SYSTEM RELIABILITY9. Digitalization of Healthcare: The Rise of Digital Twin Trend Worldwide and Its Implementation in Healthcare10. Reliability Analysis in Healthcare Systems Addressing Technical and Human Factors11. Reliability in Healthcare Systems12. Reliability in Healthcare Systems ensuring patient safety13. The Role of Diet and Nutrition in Alzheimer's Disease: Exploring the Gut-Cognitive Health Connection14. Optimizing Parkinson's Disease Detection Based on Machine Learning and Statistical Feature Selection Approach15. Reliability Measures in Wireless Zigbee Network Communication Systems: Addressing Data Loss and Remote Signal Strength16. Solar Power Prediction using Computer Vision and Machine Intelligence: Predicting and Optimizing Solar Energy Generation
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