Generative Artificial Intelligence: Technology and Applications
暫譯: 生成式人工智慧:技術與應用

Varshney, Deepika, Nagrath, Preeti, Vashishtha, Srishti

  • 出版商: CRC
  • 出版日期: 2025-12-24
  • 售價: $6,400
  • 貴賓價: 9.5$6,080
  • 語言: 英文
  • 頁數: 424
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032931647
  • ISBN-13: 9781032931647
  • 相關分類: GAN 生成對抗網絡
  • 海外代購書籍(需單獨結帳)

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作者簡介

Dr. Deepika Varshney has been working as an Assistant Professor and serving academics and research in the Department of Computer Science and Engineering & Information Technology, Jaypee Institute of Information Technology, Noida, UP, since 2022. During her research career at Delhi Technological University, New Delhi, since 2019, she has worked on the cutting-edge issue on social web platforms, specifically fraudulent content detection on social media platforms, and has received commendable research award of 50,000 for publishing article in SCI-indexed journals in 2020, 2022, 2023, and 2024. She was also awarded with Senior Research Fellowship (SRF). She has published 20 research papers in SCI, SCOPUS, and international conferences. She has supervised both major and minor projects and is presently guiding two Ph.D. scholars. In addition, she has been actively involved in organizing short-term training programs, faculty development programs (FDPs), and various academic initiatives. She also serves as a reviewer for several prestigious SCI-indexed journals.

Dr. Preeti Nagrath is working as an Associate Professor at Bharati Vidyapeeth's College of Engineering. She has more than 20 years of academic experience. She holds a B.Tech, an M.Tech, and a Ph.D. in Computer Science and Engineering. Her areas of research include network security, delay tolerant networks, machine learning, and deep learning. She is a member of ISTE. She has more than 60 research papers in SCI-indexed journals, highly reputed journals, and international conferences. She has worked on a government-funded DST project on women security. She has chaired many sessions at international conferences. She is appointed as a reviewer for many conferences and journals. She has organized many faculty development programs, workshops, hackathons, and guest lectures. She has mentored teams in Smart India Hackathons. She has worked as an Associate Editor for the Journal of Multidisciplinary Engineering Technologies at Bharati Vidyapeeth's College of Engineering in New Delhi. She is currently teaching deep learning and machine learning, web engineering, network security, software testing, and object-oriented software engineering.

Dr. Srishti Vashishtha is currently working at Bharati Vidyapeeth's College of Engineering (BVCOE), GGSIPU, as an Assistant Professor in the Department of Computer Science and Engineering. She has received her Ph.D. degree in Sentiment Analysis and Social Media domain from Delhi Technological University in 2022. She has received a B.Tech degree in Information Technology from the Maharaja Surajmal Institute of Technology, GGSIPU, New Delhi, India, and an M.Tech degree in Computer Science from the University School of Information, Communication and Technology, GGSIPU. Her current areas of interest include machine learning, deep learning, data mining, natural language processing, sentiment analysis, speech emotion recognition, and fuzzy logic. She has about 10+ years of teaching experience in esteemed institutions. She qualified GATE and UGC-NET. She has published 26 research papers in peer-reviewed/Scopus/Web of Science-indexed international journals and international conferences. She, with a current h-index of 11, has published three Scopus-indexed and six SCIE journal papers. She has published a book entitled Metaverse Technologies in Healthcare and holds two Indian design patents. She is a reviewer for various SCIE and peer-reviewed journals. She has received DTU Research Excellence awards for commendable research (four times) in 2020, 2021, 2022, and 2023. She has received three Best Researcher awards from BVCOE in 2023 and 2024. She has received the Researcher of the Year award at the Universal Innovators Leadership Awards (UILA) organized by ICICC in 2024.

Victor Hugo C. de Albuquerque (Senior Member of IEEE) is currently a Professor and Senior Researcher at the Department of Teleinformatics Engineering (DETI)/Graduate Program in Teleinformatics Engineering (PPGETI) at the Federal University of Ceará (UFC), Brazil. He earned a Ph.D. in Mechanical Engineering from the Federal University of Paraíba (UFPB, 2010) and an M.Sc. in Teleinformatics Engineering from the PPGETI/UFC (UFC, 2007). He completed a BSE in Mechatronics Engineering at the Federal Center of Technological Education of Ceará (CEFETCE, 2006). He has experience in biomedical science and engineering, mainly in the research fields of applied computing, intelligent systems, visualization and interaction, with specific interest in pattern recognition, artificial intelligence, image processing and analysis, as well as automation with respect to biological signal/image processing, biomedical circuits, and human/brain-machine interaction, including augmented and virtual reality simulation modeling for animals and humans. He is a Full Member of the Brazilian Society of Biomedical Engineering (SBEB). He is an Editor-in-Chief of the Journal of Biomedical and Biological Sciences, as well as the Journal of Artificial Intelligence and Systems and the Journal of Biological Sciences, and an Associate Editor of the IEEE Journal of Biomedical and Health Informatics, Computers in Biology and Medicine, Frontiers in Cardiovascular Medicine, Computational Physiology and Medicine, Applied Soft Computing, IEEE Access, Frontiers in Communications and Networks, Computational Intelligence and Neuroscience, Measurement, and IET Quantum Communication. He has been a Lead Guest Editor of several highly reputed journals and a TPC member of many international conferences.

作者簡介(中文翻譯)

Deepika Varshney 博士 自 2022 年以來在印度烏塔爾邦諾伊達的 Jaypee 信息技術學院計算機科學與工程及信息技術系擔任助理教授,從事學術和研究工作。在德里技術大學的研究生涯中,自 2019 年以來,她專注於社交網絡平台的前沿問題,特別是社交媒體平台上的詐騙內容檢測,並於 2020、2022、2023 和 2024 年在 SCI 索引期刊上發表文章,獲得了 50,000 的研究獎勵。她還獲得了高級研究獎學金 (SRF)。她在 SCI、SCOPUS 和國際會議上發表了 20 篇研究論文。她指導過多個重大和小型項目,目前正在指導兩名博士生。此外,她積極參與組織短期培訓計劃、教師發展計劃 (FDP) 和各種學術倡議。她還擔任多個著名 SCI 索引期刊的審稿人。

Preeti Nagrath 博士 目前在 Bharati Vidyapeeth 工程學院擔任副教授,擁有超過 20 年的學術經驗。她擁有計算機科學與工程的 B.Tech、M.Tech 和 Ph.D. 學位。她的研究領域包括網絡安全、延遲容忍網絡、機器學習和深度學習。她是 ISTE 的成員。她在 SCI 索引期刊、高度知名的期刊和國際會議上發表了超過 60 篇研究論文。她曾參與一個政府資助的 DST 項目,專注於女性安全。她在國際會議上主持過多個會議。她被任命為多個會議和期刊的審稿人。她組織了許多教師發展計劃、研討會、黑客馬拉松和客座講座。她在 Smart India Hackathons 中指導過團隊。她曾擔任 Bharati Vidyapeeth 工程學院的《多學科工程技術期刊》的副編輯。她目前教授深度學習和機器學習、網頁工程、網絡安全、軟件測試和面向對象的軟件工程。

Srishti Vashishtha 博士 目前在 Bharati Vidyapeeth 工程學院 (BVCOE) 的計算機科學與工程系擔任助理教授。她於 2022 年在德里技術大學獲得情感分析和社交媒體領域的博士學位。她在印度新德里的 Maharaja Surajmal 技術學院獲得信息技術的 B.Tech 學位,並在 GGSIPU 的信息、通信與技術大學獲得計算機科學的 M.Tech 學位。她目前的研究興趣包括機器學習、深度學習、數據挖掘、自然語言處理、情感分析、語音情感識別和模糊邏輯。她在知名機構擁有超過 10 年的教學經驗。她通過了 GATE 和 UGC-NET 考試。她在同行評審的國際期刊和國際會議上發表了 26 篇研究論文,並擁有目前的 h 指數為 11,發表了三篇 SCOPUS 索引和六篇 SCIE 期刊論文。她出版了一本名為《醫療保健中的元宇宙技術》的書籍,並擁有兩項印度設計專利。她是多個 SCIE 和同行評審期刊的審稿人。她在 2020、2021、2022 和 2023 年獲得 DTU 研究卓越獎(四次)。她在 2023 和 2024 年獲得 BVCOE 的三項最佳研究者獎。她在 2024 年的 Universal Innovators Leadership Awards (UILA) 中獲得年度研究者獎,該活動由 ICICC 主辦。

Victor Hugo C. de Albuquerque(IEEE 高級會員)目前是巴西塞阿拉聯邦大學 (UFC) 電信工程系 (DETI) / 電信工程研究生項目 (PPGETI) 的教授和高級研究員。他於 2010 年在巴西帕拉伊巴聯邦大學 (UFPB) 獲得機械工程博士學位,並於 2007 年在 UFC 獲得電信工程碩士學位。他於 2006 年在塞阿拉聯邦技術教育中心 (CEFETCE) 獲得機電一體化工程學士學位。他在生物醫學科學和工程方面擁有經驗,主要研究應用計算、智能系統、可視化和互動,特別關注模式識別、人工智能、圖像處理和分析,以及生物信號/圖像處理、自動化、生物醫學電路和人類/腦機互動,包括動物和人類的增強和虛擬現實模擬建模。他是巴西生物醫學工程學會 (SBEB) 的正式成員。他是《生物醫學與生物科學期刊》、《人工智能與系統期刊》和《生物科學期刊》的主編,以及《IEEE 生物醫學與健康信息學期刊》、《生物學與醫學中的計算機》、《心血管醫學前沿》、《計算生理學與醫學》、《應用軟計算》、《IEEE Access》、《通訊與網絡前沿》、《計算智能與神經科學》、《測量》和《IET 量子通信》的副編輯。他曾擔任多個知名期刊的特邀編輯,並是多個國際會議的程序委員會成員。

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