Deep Learning in Genome Mapping: Computation and Analysis
暫譯: 基因組映射中的深度學習：計算與分析

本書旨在發展方法論，並闡明透過數據挖掘和使用 GPU 方法的並行編程在各種機器學習系統的實證研究中的進展。它回顧了現有機器學習和深度學習技術的概念，以及這些技術如何在使用 CUDA 架構的 GPU 計算中實現。本書還討論了現代機器學習技術，以有效管理大數據，並符合該領域的全球標準。

本出版物涵蓋多個領域，旨在為學術界、數據科學家、工業專業人士、研究人員和對揭示該領域最新創新感興趣的學生提供參考。

Dr. Soumya Ranjan Nayak is an Assistant Professor at the School of Computer Engineering, KIIT University, Odisha, India. He holds a Ph.D. and M.Tech in Computer Science and Engineering under an MHRD fellowship and has over 150 publications, 16 book chapters, 6 books, and 9 patents (6 granted). His research interests include medical image analysis, machine learning, deep learning, and computer vision. With over 1500 citations, he has an h-index of 19 and i10-index of 46. Dr. Nayak serves as an associate editor and reviewer for several reputed journals and has contributed to numerous international conferences as a technical committee member.

Dr. Shailendra Pratap Singh is an Associate Professor in the Department of Computer Science and Engineering at Madan Mohan Malaviya University of Technology, Gorakhpur, India. With around 15 years of academic experience, he holds a Ph.D. from MNNIT Allahabad and specializes in Artificial Intelligence, IoT, Optimization, Algorithms, and Data Science. He has authored over 75 research papers in reputed journals and conferences, including Springer, Elsevier, and IEEE, and has edited multiple scholarly books. Known for his innovative teaching using design thinking, he also serves as a consultant in Industrial IoT and advisor to various start-ups and professional organizations.

Prof. Jagendra Singh, Senior Member of IEEE, is a Professor at the School of Computer Science Engineering and Technology, Bennett University, Greater Noida. With over 18 years of academic and research experience, he previously served at NIT Calicut. He earned his Ph.D. from Jawaharlal Nehru University, New Delhi, and completed his postdoctoral research at the Singapore Institute of Technology. Prof. Singh has published over 182 research papers, holds 50 patents, and authored 13 books. His key research areas include Natural Language Processing, Information Retrieval, Sentiment Analysis, Recommendation Systems, Deep Learning, Generative AI, and Data Analytics.

Dr. Prabhishek Singh, Senior Member of IEEE and ACM, is an Associate Professor at Bennett University, India, and Honorary Adjunct Faculty at Maryam Abacha American University of Nigeria. Recognized among the World's Top 2% Scientists (2024) by Stanford University & Elsevier, he holds a Ph.D. in Computer Science and has over nine years of academic and research experience. His expertise lies in image processing, computer vision, and deep learning. Dr. Singh has authored 210+ research papers and serves in editorial roles across leading SCI/SCIE/Scopus journals. He is also an active reviewer, editor, and guest editor for numerous reputed publications.

Prof. Manoj Diwakar is a Professor in the Department of Computer Science and Engineering at Graphic Era University, Dehradun, with 16 years of academic and industry experience. He holds a Ph.D. in Computer Science from Babasaheb Bhimrao Ambedkar University, Lucknow, and earned his M.Tech from MITS Gwalior. He has previously served at DIT University, Uttaranchal University, and Mody University. A Professional Member of IEEE and Life Member of IAENG, his research interests include image processing, information security, and medical imaging. Dr. Diwakar has authored around 250 research publications across reputed journals, conferences, books, and book chapters globally.

Prof. Deepak Garg, Ph.D. in Computer Science (Efficient Algorithm Design), is a distinguished academic with 25 years of experience. He is currently the Vice Chancellor of SR University, Warangal. He has served as Professor and Dean at Thapar Institute and Bennett University. A leading voice in Artificial Intelligence, he is on the Advisory Committee of AIRAWAT, India's Supercomputing Mission. He has contributed to NAAC, NBA, UGC, and AICTE, and serves on the tech advisory boards of Drishya.ai and ByteXL. India's only CAC ABET Commissioner, he has held leadership roles in IEEE societies, driving innovation in AI and computing education.

Soumya Ranjan Nayak 博士是印度奧迪沙州 KIIT 大學計算機工程學院的助理教授。他擁有計算機科學與工程的博士學位和碩士學位，並在 MHRD 獎學金下完成學業，發表了超過 150 篇論文、16 篇書章、6 本書和 9 項專利（其中 6 項已獲批准）。他的研究興趣包括醫學影像分析、機器學習、深度學習和計算機視覺。擁有超過 1500 次引用，他的 h-index 為 19，i10-index 為 46。Nayak 博士擔任多本知名期刊的副編輯和審稿人，並作為技術委員會成員參加了多個國際會議。

Shailendra Pratap Singh 博士是印度戈拉克布爾的 Madan Mohan Malaviya 科技大學計算機科學與工程系的副教授。擁有約 15 年的學術經驗，他在 MNNIT 阿拉哈巴德獲得博士學位，專注於人工智慧、物聯網、優化、演算法和數據科學。他在知名期刊和會議上發表了超過 75 篇研究論文，包括 Springer、Elsevier 和 IEEE，並編輯了多本學術書籍。以設計思維進行創新教學而聞名，他還擔任工業物聯網顧問及多家初創企業和專業組織的顧問。

Jagendra Singh 教授是 IEEE 的高級會員，現任 Greater Noida 的 Bennett 大學計算機科學工程與技術學院教授。擁有超過 18 年的學術和研究經驗，他曾在 NIT Calicut 任職。他在新德里的賈瓦哈拉爾·尼赫魯大學獲得博士學位，並在新加坡科技大學完成博士後研究。Singh 教授已發表超過 182 篇研究論文，擁有 50 項專利，並著作 13 本書籍。他的主要研究領域包括自然語言處理、信息檢索、情感分析、推薦系統、深度學習、生成式 AI 和數據分析。

Prabhishek Singh 博士是 IEEE 和 ACM 的高級會員，現任印度 Bennett 大學的副教授，並擔任尼日利亞 Maryam Abacha 美國大學的名譽兼職教員。被史丹佛大學和 Elsevier 認定為全球前 2% 科學家（2024），他擁有計算機科學的博士學位，並擁有超過九年的學術和研究經驗。他的專長在於影像處理、計算機視覺和深度學習。Singh 博士已發表超過 210 篇研究論文，並在多本領先的 SCI/SCIE/Scopus 期刊中擔任編輯角色。他還是多個知名出版物的活躍審稿人、編輯和客座編輯。

Manoj Diwakar 教授是德拉敦 Graphic Era 大學計算機科學與工程系的教授，擁有 16 年的學術和行業經驗。他在盧克瑙的 Babasaheb Bhimrao Ambedkar 大學獲得計算機科學博士學位，並在 MITS 瓦爾哈爾獲得碩士學位。他曾在 DIT 大學、烏塔拉坎德大學和莫迪大學任職。作為 IEEE 的專業會員和 IAENG 的終身會員，他的研究興趣包括影像處理、信息安全和醫學影像。Diwakar 博士在全球知名期刊、會議、書籍和書章上發表了約 250 篇研究出版物。

Deepak Garg 教授擁有計算機科學（高效演算法設計）的博士學位，是一位具有 25 年經驗的傑出學者。他目前是 Warangal 的 SR 大學副校長，曾在 Thapar 學院和 Bennett 大學擔任教授和院長。作為人工智慧領域的領軍人物，他是印度超級計算任務 AIRAWAT 的顧問委員會成員。他曾參與 NAAC、NBA、UGC 和 AICTE 的工作，並在 Drishya.ai 和 ByteXL 的技術顧問委員會中任職。作為印度唯一的 CAC ABET 委員，他在 IEEE 社團中擔任領導角色，推動人工智慧和計算教育的創新。