Deep Learning in Engineering, Energy and Finance: Principals and Applications (工程、能源與金融中的深度學習：原則與應用)

解鎖深度學習在您專業和學術追求中的變革潛力，請參閱《工程、能源與金融中的深度學習：原則與應用》。這本全面的指南無縫地橋接了理論概念與實際應用之間的鴻溝，為您提供知識和工具，以徹底改變行業並推動創新。深入了解真實世界的應用和前沿研究，展示深度學習如何重新定義工程流程、優化能源系統以及重塑金融市場。

本書：

- 探討深度學習在工程、能源和金融領域的應用，突顯多樣的使用案例和行業特定挑戰。
- 發現深度學習如何推動預測性維護、能源優化、算法交易和風險管理的突破。
- 透過實時的實際範例和案例研究，闡明與深度學習相關的所有概念。
- 強調應對未來挑戰所需的技能，專注於面向太陽能、SOM、股市、語音技術等新興深度學習技術。

無論您是渴望探索最新進展的學生，還是希望提升技能的資深研發專業人士，本書都提供了寶貴的見解和實用的指導，以提升您的專業知識。

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.

Anand Nayyar 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.

Vivek S. Sharma 擁有北馬哈拉施特拉大學的數學博士學位。他在工程數學及相關科目方面擁有超過 14 年的教學經驗，教授對象為工程本科生和研究生。目前，他在孟買的 Inurture NKC 擔任資深 IT 教師。他專精於統計數據分析、商業分析、數值方法、深度學習和進階機器學習，並熟悉各種機器學習和深度學習的 API，如 Text Analytics、Keras 和 TensorFlow。他也非常擅長在 Azure ML Studio 中構建端到端的機器學習管道，並具備 SparkScala、Apache Spark Cluster、Fluent、Julia 和 Weka 的實務知識。

Shubham Mahajan 是 IEEE、ACM 和 IAENG 等知名組織的傑出成員，擁有令人印象深刻的學術和專業背景。他在 Baba Ghulam Shah Badshah University 獲得 B.Tech. 學位，在 Chandigarh University 獲得 M.Tech. 學位，並在印度 Katra 的 Shri Mata Vaishno Devi University (SMVDU) 獲得博士學位。目前，他在普納的 Ajeenkya D Y Patil University 擔任助理教授。Mahajan 博士在人工智慧和影像處理領域擁有卓越的成就，擁有 11 項印度專利，以及 1 項澳大利亞專利和 1 項德國專利。他在該領域的貢獻進一步體現在他廣泛的出版紀錄上，包括在同行評審的期刊和會議上發表的超過 77 篇文章。他的研究興趣涵蓋影像處理、視頻壓縮、影像分割、模糊熵、自然啟發計算方法、優化、數據挖掘、機器學習、機器人技術和光學通信等多個主題。值得注意的是，他的奉獻和專業知識使他獲得了 ICRIC 2019 的「最佳研究論文獎」，該論文由 Springer 在 LNEE 系列中發表。為了表彰他的卓越成就，Mahajan 博士在其職業生涯中獲得了多項榮譽，包括 2019 年的最佳學生獎、2019 年的 IEEE Region-10 旅行獎、2019 年在孟加拉舉行的 IEEE RAS HACKATHON 的亞軍、2020 年的 IEEE 學生早期研究者會議基金 (SERCF)、2021 年的新興科學家獎，以及 2021 年的 IEEE 信號處理學會專業發展獎。他在研究上的卓越承諾在 2023 年獲得了研究卓越獎的認可。Mahajan 博士的影響力超越了學術界。他曾擔任 IEEE 的校園大使，代表 IIT 孟買、坎普爾、瓦拉納西、德里等知名機構以及多家跨國公司。他積極參與促進國際研究合作，展現了他對推進全球知識和創新前沿的熱情。

Anand Nayyar 於 2017 年在 Desh Bhagat University 獲得計算機科學博士學位，研究領域為無線感測器網絡、群體智慧和網絡模擬。目前，他在越南岘港的 Duy Tan University 計算機科學學院擔任教授、科學家、副主席（研究）及物聯網與智能系統實驗室主任。他是一位持有超過 125 項專業認證的專業人士，這些認證來自 CISCO、Microsoft、Amazon、EC-Council、Oracle、Google、Beingcert、EXIN、GAQM、Cyberoam 等多個機構。他在各種高品質的 ISI-SCI/SCIE/SSCI 影響因子 Q1、Q2、Q3、Q4 期刊及 Scopus/ESCI 索引期刊上發表了超過 200 篇研究論文，並在知名出版商的國際會議上發表了 80 多篇論文，IEEE 和 ACM 數字圖書館中有 50 多篇書章發表於各種 SCOPUS/WEB OF SCIENCE 索引的書籍中，並擁有國際聲譽的出版物，引用次數為（Google Scholar）：14500+，H-Index：65 和 I-Index：2。