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E-raamat: Artificial Intelligence and Optimization Techniques for Smart Information System Generations [Taylor & Francis e-raamat]

Edited by (Glocal University), Edited by , Edited by (Netaji Subhash Engg. College)
  • Formaat: 304 pages, 32 Tables, black and white; 85 Line drawings, black and white; 18 Halftones, black and white; 103 Illustrations, black and white
  • Sari: Future Generation Information Systems
  • Ilmumisaeg: 27-Mar-2025
  • Kirjastus: CRC Press
  • ISBN-13: 9781003592969
  • Taylor & Francis e-raamat
  • Hind: 240,04 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Tavahind: 342,91 €
  • Säästad 30%
  • Formaat: 304 pages, 32 Tables, black and white; 85 Line drawings, black and white; 18 Halftones, black and white; 103 Illustrations, black and white
  • Sari: Future Generation Information Systems
  • Ilmumisaeg: 27-Mar-2025
  • Kirjastus: CRC Press
  • ISBN-13: 9781003592969

This book stands on the shoulders of sustainability engineering insights to identify blind spots in conventional business, engineering, and environmental school curricula that result in substantial missed opportunities. Harvesting these financial gains provides resources to secure environmental and social outcomes. Cutting through the clutter of terminology and approaches, this book uses case studies to outline a proven path to profitably secure "net zero" for facilities and their supply chains. And rather than stopping at the uninspiring target of "doing no harm" it further empowers businesses and other organizations to create additional economic, environmental, and social benefits.

  • Offers numerous case studies to illustrate how to reduce environmental footprints while increasing profit margin and business value
  • Explores redemptive entrepreneurship through the lens of the author’s founding of an award-winning engineering firm
  • Presents strategies to strengthen the curricula of engineering, business, accounting, and procurement programs by uncovering significant sources of untapped value in conventional teaching


This book stands on the shoulders of sustainability engineering insights to identify blind spots in conventional business, engineering, and environmental school curricula that result in substantial missed opportunities. Harvesting these financial gains provides resources to secure environmental and social outcomes

  1. Unveiling the Power of Prediction: A Comprehensive Guide to Machine Learning Techniques, from Data Preparation to Model Interpretability for Early Prediction of Diabetes and Effective Management
  2. Digital Image Forgery Techniques for Smart Information Generations
  3. Artificial Intelligence(AI) and optimization for Health Information System(HIS) generation
  4. Agricultural Information Systems emphasizing Agro Robots towards Digital and Sustainable Agriculture- A Scientific Review
  5. Smart Agriculture based on Artificial Intelligence in Africa Region: Open Challenges, Solutions
  6. Synergizing Artificial Intelligence and Optimization Techniques for Enhanced Public Services
  7. Architectural Pattern for Implementing XAI as a Service for Container Orchestrated Machine Learning Model Deployments
  8. Quantum Machine Learning (QML) Algorithms for Smart Biomedical Applications
  9. Artificial Intelligence for Information System Security
  10. Optimized Image Recognition for Smart Information Generations: A Comprehensive Evaluation of Image Processing Techniques
  11. Machine Learning based Security Algorithms for Cloud Computing: A Comprehensive Survey
  12. Securing Information in Transit: Leveraging AI/ML for Robust Data Protection
  13. Optimizing Medical Image Compression for Efficient Information System Integration: A Comprehensive Review
  14. FaceTrack: A Face Recognition-based Real-time Attendance Marking Approach using Haar Cascade and Machine Learning
  15. Optimizing Information Systems for Green Computing in Higher Education: From Awareness to Action
  16. Evaluating Thin Client Solutions: A Sustainable and Energy-Efficient Alternative to Traditional Classroom PCs
Aleem Ali is presently working as a professor, in the Department of Computer Science and Engineering, at Chandigarh University, Punjab, India. He has published more than forty research papers in journals and conferences of national and international repute. His areas of research interest include the Internet of Things, machine learning techniques, wireless networks, network security, cryptography, and data mining.

Rajdeep Chakraborty is currently working as a professor, in the Department of Computer Science and Engineering, at Medi-Caps University, Indore, MP, India. He has more than twenty years of research and academic experience. He has publications in reputed international journals and conferences. He also has written an authored book on hardware cryptography. His field of interest is mainly in cryptography and computer security.

Nawaf R. Alharbe is presently working as a professor, college of computer science and engineering, dept. of AI & DS, at Taibah University, Madinah, Saudi Arabia. He is an esteemed visiting professor, in the faculty of computing, engineering, and sciences, at Staffordshire University, United Kingdom. He has published research papers in journals and conferences of national and international repute. His areas of research interest include the Internet of Things, network communication, sensor technology, network security, wireless communications, computer networking, and cloud computing.