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  • Challenges and Opportunities in Artificial Intelligence: Engineering and Management Applications

    Challenges and Opportunities in Artificial Intelligence by Mishra, Shweta; Singh, Avneesh Kumar; Prajapati, Pankaj;

    Engineering and Management Applications

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    Rövid leírás:

    This book presents a comprehensive exploration of how AI is transforming modern engineering systems and managerial decision-making. It discusses emerging trends, practical applications, and the evolving role of intelligent technologies in solving real-world problems.


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    Hosszú leírás:

    Challenges and Opportunities in Artificial Intelligence: Engineering and Management Applications presents a comprehensive exploration of how AI is transforming modern engineering systems and managerial decision-making. The book discusses emerging trends, practical applications, and the evolving role of intelligent technologies in solving real-world problems.


    This book examines key domains where Artificial Intelligence is reshaping processes, performance, and innovation. It covers foundational AI concepts, machine learning techniques, intelligent automation, data-driven decision models, and advanced computational methods relevant to engineering disciplines. The chapters highlight AI-enabled solutions in areas such as predictive maintenance, smart manufacturing, robotics, optimization, and sustainable engineering. In management applications, the book addresses AI-supported analytics, decision support systems, workflow automation, and strategic planning powered by big data. It also discusses challenges including ethical concerns, algorithmic transparency, workforce readiness, and cybersecurity risks. Through research-based insights and practical case studies, the book illustrates how AI can enhance efficiency, accuracy, and innovation while also emphasizing the need for responsible and well-governed AI adoption.


    This book is intended for researchers, academicians, industry professionals, engineers, and management practitioners seeking to understand the practical integration of AI in real systems. It is also valuable for postgraduate students and policymakers interested in emerging AI technologies, their opportunities, and the strategic challenges associated with their deployment.

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    Tartalomjegyzék:

    1. Powered AI based Virtual Assistant using LLM Model  2. A Novel Online Food Ordering Platform with Special Assistance for Visually Impaired Individuals  3. Statistical Validation in Cultural Adaptations of Cognitive Tests: A Multi- Regional Systematic Review  4. Transformative AI Applications in Financial Fraud Detection: A Novel Approach to protecting Economic Integrity  5. Navigating the New Workforce: Performance Management and Retention of Generation Z Employees while Increase of Gig and Freelancing Economy in India  6. Introducing Team Based Learning as an innovative student centered teaching method and know the feedback among students in Saveetha College of Nursing, SIMATS  7. The Impact of Social Media on Young Teenagers  8. Assessing Mobile Tourism Apps: A Research Review with Scientometric Perspectives  9. Breaking Barriers: SignLingo as a Two-Way Communication Aid for the Deaf and Mutes  10. Hybrid AI-Microservices Architectures for Predictive Maintenance in Large-Scale Distributed Systems  11. Methods of prevention and treatment of COVID-19 in India: An excellent example of medical tourism  12. Connecting the dots: Leveraging the power of Employer branding to elevate Employee engagement and Productivity  13. Study of transmission properties of Quaternary multilayer structure  14. A Study On Stock Market System Using Statistical Analysis  15. Delay Driven Congestion Control Approach under Smart Virtual Parallel TCP Application  16. Comparison of Torque Pulsations mitigation in Power system using PI and Fuzzy controllers with UPFC and SSSC  17. A review on type1 diabetes prediction methods  18. A Review on Application of Soft Computing Techniques on Detection of Plant leaf Diseases  19. Enhancing Fault Tolerance in Microservices with AI-Powered Anomaly Detection and Prediction  20. Cluster Optimization Scheme for WSN Security and Lifetime Enhancement  21. Review of modern methods for detection of mental health using Natural language processing  22. Hybrid Intrusion Detection System for Real-Time Encrypted Network Traffic Classification in Cloud Environments  23. A Cutting-Edge Deep Learning Method for Enhancing IoT Security  24. "From Planets to Profits: The Role of AI and Machine Learning in Financial Astrology"  25. Cooperation, Collaboration and Competition: Issues of Indian Defence Indigenisation  26. AI-Driven Microservices for Seamless User Experience in Multi-Platform Digital Environments  27. Digital and Social Media Marketing for Homemakers in Entrepreneurship: Obstacles, Solutions, and Development  28. Bridging the Gap: Aligning Simulation and Real-World Physics for Enhanced Modeling and Prediction  29. Green Computing: Innovations, Challenges, and Future Prospects  30. Enhancing Performance in Multipath TCP: A Literature Review

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