Artificial Intelligence Technologies for Engineering Applications
CRC Press (Verlag)
978-1-032-76581-5 (ISBN)
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This book:
Explores practical applications of artificial intelligence in engineering, including optimization, predictive modeling, decision-making, and control systems.
Provides real-world examples of artificial intelligence applications in engineering, drawing from a range of industries including aerospace, automotive, and manufacturing.
Discusses technologies such as machine learning, and computer vision for aircraft design optimization, fault diagnosis, and autonomous navigation.
Explains natural language processing for analyzing and optimizing building systems, while robotics can be used for construction automation.
Presents artificial intelligence technologies for optimization of manufacturing processes, predictive maintenance, and quality control.
It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.
G. Sucharitha is working as an Associate Professor in the Department of Electronics and Communication Engineering at Institute of Aeronautical Engineering, Hyderabad. Her research areas including Biomedical image processing, Image Retrieval, Machine Learning and Deep Learning. She has more than 13 years of teaching experience. She is expert of teaching Image Processing, Artificial Intelligence, Machine and Deep Learning, Computer Organization & Architecture, Microprocessors, Internet of Things. She published more than 20 research articles SCI & Scopus journals. She also presented many research papers in national and international conferences, 6 patents, 9 book chapters and one edited book and one authored book. She has received CIEMA “Outstanding Thesis & Dissertation Award-2022” in the month of March,2022. Anjanna Matta: is working as an Associate Professor in Department of Mathematics, Faculty of Science and Technology (ICFAITECH), IFHE, Hyderabad. He published several articles in various international journals. He is authoring few books and book chapters. He is awarded PhD from IIT Hyderabad, India, completed M. Tech (IMSC) from IIT Madras, India and M. Sc (Mathematics) from NIT Warangal, India. M. Srinivas is working as an Assistant Professor in Department of Computer Science and Engineering, National Institute of Technology (NIT), Warangal, India. He received his Postdoc from ETS, Canada and Academia Sinica, Taiwan in years of 2018, 2016. He received his PhD degree from IIT Hyderabad in the year 2014. He published many papers in reputed Scopus /SCI journals, conference, book chapters and books. He received many travel grants to attend international conferences, conclaves and summits. He received Global Distinguished Young Scientist award from IEEE IAS Global conference in 2023. He is reviewer for several journals of international repute. His research areas include biomedical image analysis, machine learning, Deep learning and Artificial Intelligence. Sachi Nandan Mohanty received his Postdoc from IIT Kanpur in the year 2019 and PhD. from IIT Kharagpur, India in the year 2015, with MHRD scholarship from Govt of India. He has authored/edited 32 books, published by international publishers. His research areas include Data mining, Big Data Analysis, Cognitive Science, Fuzzy Decision Making, Brain-Computer Interface, Cognition, and Computational Intelligence. Prof. S N Mohanty has received 4 Best Paper Awards during his PhD at IIT Kharagpur from International Conference at Benjing, China, and the other at International Conference on Soft Computing Applications organized by IIT Rookee in the year 2013. He has been awarded the best thesis award first prize by Computer Society of India in the year 2015. He has guided 9 PhD scholars. He has published 120 International Journals of International repute and has been elected as FELLOW of Institute of Engineers, European Alliance Innovation(EAI), and Senior member of IEEE Computer Society Hyderabad chapter. He also the reviewer of Journal of Robotics and Autonomous Systems, Computational and Structural Biotechnology Journal, Artificial Intelligence Review, and Spatial Information Research.
1. Navigating the Ethical Landscape of Artificial Intelligence: Challenges, Frameworks, and Responsible Deployment. 2. Opportunities of Intelligent Machine Learning Techniques for Sustainable Development. 3. Prediction of Disease Rely on Drug Reviews by TFIDF Procedure in Natural Language Processing. 4. Investigating the Potential of ChatGPT in Substituting or Assisting Teachers in the Digital Era. 5. Defense of DDoS Attacks Using Targets in Motion. 6. Unlocking Sign Language Interpretation: Leveraging Transfer Learning in Deep Learning Models. 7. AI Engineering for the Best Sustainable Practices Towards Social Applications. 8. Healthcare Robots Enabled with IoT and Artificial Intelligence in Healthcare Applications. 9. AI Strategies for the Realm of Sustainable Management and Practices. 10. Unveiling Life's Horizon: Predictive Insights with Automated Machine Learning. 11. Sustainable Energy Optimization in Smart Buildings: A Deep Learning LSTM Approach for Intelligent Management and Environmental Impact Reduction. 12. ConvXception: Covid-19 Detection using ConvXception Model. 13. Automated Road Safety: YOLOv3 based non-helmet rider detection with Optical Character Recognition. 14. Customer Churn Prediction for Retention Analysis. 15. Exploring the Intersection of Sustainable Economies and the Metaverse for a Prosperous Future. 16. UNet-Based MRI Image Analysis for Enhanced Brain Tumor Spotting: A Cutting-Edge Approach in Medical Imaging. 17. Multiple Object Tracking using Deep Learning and Machine Learning Techniques. 18. KGRecSys: Knowledge Graph-Based Recommendation Systems: A Comprehensive Overview. 19. Brain-Inspired Cognitive Architectures for Artificial Intelligence: Unlocking the Potential of Human-Like Intelligence. 20. Harnessing Deep Learning Algorithms for Enhanced Stock Price Predictability
| Erscheint lt. Verlag | 16.1.2025 |
|---|---|
| Reihe/Serie | Artificial Intelligence for Sustainable Engineering and Management |
| Zusatzinfo | 27 Tables, black and white; 72 Line drawings, black and white; 34 Halftones, black and white; 106 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Umwelttechnik / Biotechnologie | |
| ISBN-10 | 1-032-76581-X / 103276581X |
| ISBN-13 | 978-1-032-76581-5 / 9781032765815 |
| Zustand | Neuware |
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