Artificial Intelligence and Optimizing Techniques for Smart Information System Generations -

Artificial Intelligence and Optimizing Techniques for Smart Information System Generations

Buch | Hardcover
320 Seiten
2025
CRC Press (Verlag)
978-1-032-71703-6 (ISBN)
174,55 inkl. MwSt
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.

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.

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
Digital Image Forgery Techniques for Smart Information Generations
Artificial Intelligence(AI) and optimization for Health Information System(HIS) generation
Agricultural Information Systems emphasizing Agro Robots towards Digital and Sustainable Agriculture- A Scientific Review
Smart Agriculture based on Artificial Intelligence in Africa Region: Open Challenges, Solutions
Synergizing Artificial Intelligence and Optimization Techniques for Enhanced Public Services
Architectural Pattern for Implementing XAI as a Service for Container Orchestrated Machine Learning Model Deployments
Quantum Machine Learning (QML) Algorithms for Smart Biomedical Applications
Artificial Intelligence for Information System Security
Optimized Image Recognition for Smart Information Generations: A Comprehensive Evaluation of Image Processing Techniques
Machine Learning based Security Algorithms for Cloud Computing: A Comprehensive Survey
Securing Information in Transit: Leveraging AI/ML for Robust Data Protection
Optimizing Medical Image Compression for Efficient Information System Integration: A Comprehensive Review
FaceTrack: A Face Recognition-based Real-time Attendance Marking Approach using Haar Cascade and Machine Learning
Optimizing Information Systems for Green Computing in Higher Education: From Awareness to Action
Evaluating Thin Client Solutions: A Sustainable and Energy-Efficient Alternative to Traditional Classroom PCs

Erscheint lt. Verlag 31.3.2025
Reihe/Serie Future Generation Information Systems
Zusatzinfo 32 Tables, black and white; 85 Line drawings, black and white; 18 Halftones, black and white; 103 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 156 x 234 mm
Themenwelt Mathematik / Informatik Informatik Software Entwicklung
Technik Elektrotechnik / Energietechnik
ISBN-10 1-032-71703-3 / 1032717033
ISBN-13 978-1-032-71703-6 / 9781032717036
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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