Deep Learning in Engineering, Energy and Finance (eBook, ePUB)

Principals and Applications
Redaktion: Sharma, Vivek S.; Kant Pandit, Amit; Nayyar, Anand; Mahajan, Shubham

• Format: ePub

Produktbeschreibung

Unlock the transformative potential of deep learning in your professional and academic endeavors with Deep Learning in Engineering, Energy and Finance: Principals and Applications. This comprehensive guide seamlessly bridges the gap between theoretical concepts and practical implementations, providing you with the knowledge and tools to revolutionize industries and drive innovation. Delve into real-world applications and cutting-edge research that showcase how deep learning is redefining engineering processes, optimizing energy systems, and reshaping financial markets.

This book:

• Explores deep learning applications across engineering, energy, and finance, highlighting diverse use cases and industry-specific challenges.
• Discovers how deep learning is driving breakthroughs in predictive maintenance, energy optimization, algorithmic trading, and risk management.
• Illustrates all the concepts connected to Deep Learning from head and heart with real-time practical examples and case studies.
• Stresses on skills needed to tackle future challenges, with a focus on emerging deep learning technologies oriented towards Solar Energy, SOM's, Stock Market, Speech Technology and Many more.

Whether you're a student eager to explore the latest advancements or a seasoned R&D professional seeking to enhance your skill set, this book offers invaluable insights and practical guidance to elevate your expertise.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 26. Dezember 2024
• Englisch
• ISBN-13: 9781040261378
• Artikelnr.: 72520436

Autorenporträt

Vivek S. Sharma has a PhD in Mathematics from North Maharashtra University. He has teaching experience of over 14 years on courses such as engineering mathematics and allied subjects to engineering undergraduates and post-graduates. He is currently serving as Senior Faculty IT at Inurture NKC, Mumbai Campus. He specializes in statistical data analysis, business analysis, numerical methods, deep learning and advanced machine learning and is acquainted with various Machine Learning and Deep Learning APIs such as Text Analytics, Keras and TensorFlow. He is also very well versed with building end-to- end machine learning pipeline in Azure ML Studio and has working knowledge of SparkScala, Apache Spark Cluster, Fluent, Julia and Weka. Shubham Mahajan, a distinguished member of prestigious organizations such as IEEE, ACM, and IAENG, boasts an impressive academic and professional background. He earned his B.Tech. degree from Baba Ghulam Shah Badshah University, his M.Tech. degree from Chandigarh University, and his Ph.D. degree from Shri Mata Vaishno Devi University (SMVDU) in Katra, India. Currently, he serves as an Assistant Professor at Ajeenkya D Y Patil University in Pune. Dr. Mahajan has a remarkable track record in the field of artificial intelligence and image processing, holding an impressive portfolio of eleven Indian patents, as well as one Australian and one German patent. His contributions to the field are further evidenced by his extensive publication record, which includes over 77 articles published in peer-reviewed journals and conferences. His research interests span a wide array of topics, encompassing image processing, video compression, image segmentation, fuzzy entropy, nature-inspired computing methods, optimization, data mining, machine learning, robotics, and optical communication. Notably, his dedication and expertise have earned him the 'Best Research Paper Award' from ICRIC 2019, published by Springer in the LNEE series. In recognition of his exceptional achievements, Dr. Mahajan has received numerous accolades and honours throughout his career. These include the Best Student Award in 2019, the IEEE Region-10 Travel Grant Award in 2019, the 2nd runner-up prize in the IEEE RAS HACKATHON in 2019 (held in Bangladesh), the IEEE Student Early Researcher Conference Fund (SERCF) in 2020, the Emerging Scientist Award in 2021, and the IEEE Signal Processing Society Professional Development Grant in 2021. His commitment to excellence in research was further underscored by his receipt of the Excellence in Research Award in 2023. Dr. Mahajan's impact extends beyond the realm of academia. He has served as a Campus Ambassador for IEEE, representing esteemed institutions such as IIT Bombay, Kanpur, Varanasi, Delhi, as well as various multinational corporations. His active engagement in fostering international research collaborations reflects his enthusiasm for advancing the frontiers of knowledge and innovation on a global scale. received Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks, Swarm Intelligence and Network Simulation. He is currently working in School of Computer Science-Duy Tan University, Da Nang, Vietnam as Professor, Scientist, Vice-Chairman (Research) and Director- IoT and Intelligent Systems Lab. A Certified Professional with 125+ Professional certifications from CISCO, Microsoft, Amazon, EC-Council, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Published more than 200+ Research Papers in various High-Quality ISI-SCI/SCIE/SSCI Impact Factor- Q1, Q2, Q3, Q4 Journals cum Scopus/ESCI indexed Journals, 80+ Papers in International Conferences indexed with reputed publishers, IEEE and ACM Digital Library, 50+ Book Chapters in various SCOPUS/WEB OF SCIENCE Indexed Books with publications of international repute with Citations: (Google Scholar): 14500+, H-Index: 65 and I-Index: 235; (Scopus): 7700+; H-index: 47. Member of more than 60+ Associations as Senior and Life Member like: IEEE (Senior Member) and ACM (Senior Member). He has authored/co-authored cum Edited 60+ Books of Computer Science. Associated with more than 600+ International Conferences as Programme Committee/Chair/Advisory Board/Review Board member. He has 18 Australian Patents, 15 German Patents, 4 Japanese Patents, 40 Indian Design cum Utility Patents, 13 UK Patents, 1 USA Patent, 3 Indian Copyrights and 2 Canadian Copyrights to his credit in the area of Wireless Communications, Artificial Intelligence, Cloud Computing, IoT, Healthcare, Drones, Robotics and Image Processing. Awarded 48 Awards for Teaching and Research-Young Scientist, Best Scientist, Best Senior Scientist, Asia Top 50 Academicians and Researchers, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching, Best Senior Scientist Award, DTU Best Professor and Researcher Award- 2019, 2020-2021, 2022, 2022-2023 Distinguished Scientist Award by National University of Singapore, Obada Prize 2023, Lifetime Achievement Award 2023; Asian Admirable Achievers 2024; Distinguished Academic Leader 2024 and many more. He is listed in Top 2% Scientists as per Stanford University (2020, 2021, 2022) , Ad Index (Rank No:1 Duy Tan University, Rank No:1 Computer Science in Viet Nam) and Listed on Research.com (Top Scientist of Computer Science in Viet Nam- National Ranking: 2; D-Index: 42; World Ranking: 6968). He is acting as Associate Editor for Wireless Networks (Springer), Computer Communications (Elsevier), International Journal of Sensor Networks (IJSNET) (Inderscience), Computers Materials and Continua (CMC), Tech Science Press- IASC, Cogent Engineering, Human Centric Computing and Information Sciences (HCIS), PeerJ Computer Science, IET-Quantum Communications, IET Networks, IEEE Transactions on Artificial Intelligence (IEEE TAI), Indonesian Journal of Electrical Engineering and Computer Science, IJFC, IJISP, IJDST, IJCINI, IJGC, IJSIR, IJBDCN, IJNR, IJSI. He is acting as Managing Editor of IGI-Global Journal, USA titled "International Journal of Knowledge and Systems Science (IJKSS)" and Editor-in-Chief of IGI-Global, USA Journal titled "International Journal of Smart Vehicles and Smart Transportation (IJSVST)". He has reviewed more than 5100+ Articles for diverse Web of Science and Scopus Indexed Journals. He is currently researching in the area of Wireless Sensor Networks, Internet of Things, Swarm Intelligence, Cloud Computing, Artificial Intelligence, Drones, Blockchain, Cyber Security, Healthcare Informatics, Big Data and Wireless Communications. Amit Kant Pandit received his B.Tech in 1999 from IET Bareilly. He has completed his Ph.D. from Shri Mata Vaishno Devi University in 2009. He is currently working as Professor and is the former HOD, DECE, in Shri Mata Vaishno Devi University (SMVDU), Katra (India). He has authored/co-authored more than 60 publications including peer-reviewed journals and conferences. He has two Indian and one Australian Patent to his credit in the area of artificial intelligence and image processing. He is a Senior member of IEEE and MIR labs member and has 22 years of academic experience. He is Ex Joint secretary IEEE India CS Conference and workshop Committee, Ex EC nominated member IEEE Delhi section Technical Director MIR Labs, Board member Walnut Technologies Bangalore. His main research interests are image processing, video compression, image segmentation, fuzzy entropy, nature-inspired computing methods with applications in optimization. He is also in the review panel of number of peer-reviewed journals and conferences.

Inhaltsangabe

1. Convolutional Neural Networks: Concepts and Applications in Solar
Energy, Engineering and Finance. 2. From Neurons to Networks: Unravelling
the Secrets of Artificial Intelligence Neural Networks and Perceptron's. 3.
Navigating Deep Learning Models and Health Monitoring Infrastructure in
Smart Cities: Review from Legal Perspectives and Future Innovations. 4. A
Comprehensive Review of Learning Rules and Architecture of Perceptron in
Artificial Neural Networks (ANNs). 5. Deep Convolution Models: Basic
definitions, types and applications in Solar Energy, Engineering and
Finance. 6. Self-Organizing Maps: Concept, Architecture and Use Cases in
Engineering and Finance. 7. Applications of Machine Learning/Deep Learning
for Power Grid: Reliability and Resilience of Smart Grid Systems. 8.
Energy Forecasting of Electric Vehicles at Charging Stations using Machine
Learning. 9. Nifty Index: Integrating Deep Learning Models for Future
Predictions and Investments. 10. Convolutional Neural Networks for
Developing Robust Speech Technology.