Artificial Intelligence-Driven Multimedia and Multimodal Intelligence: From Algorithms to Real-World Deployment
暫譯: 人工智慧驅動的多媒體與多模態智慧:從演算法到實際部署
Bhambri, Pankaj, Rani, Sita, Anand, A. Jose
- 出版商: CRC
- 出版日期: 2026-11-30
- 售價: $6,860
- 貴賓價: 9.5 折 $6,517
- 語言: 英文
- 頁數: 348
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041167903
- ISBN-13: 9781041167907
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相關分類:
DeepLearning、Computer Vision、Natural Language Processing
尚未上市,無法訂購
相關主題
商品描述
The text begins with data fusion from multiple modalities and neural network-based architectures, through to real-time applications and security considerations. It introduces readers to the versatility and further possibilities of multimedia and multimodal intelligent applications in different fields. It discusses topics such as edge artificial intelligence for lightweight multimodal systems and deep learning architectures for multimodal fusion.
- Presents a comprehensive coverage of the latest advancements in the field of multimedia and multimodal intelligence.
- Focuses on interdisciplinary approaches combining artificial intelligence, machine learning, and deep learning.
- Covers problems and drawbacks of multimodal intelligence, including data heterogeneity, requirements for real time, and privacy aspects.
- Discusses topics such as edge artificial intelligence for lightweight multimodal systems and deep learning architectures for multimodal fusion.
- Explains natural language processing-vision integration, real-time multimodal processing, and cross-modal learning.
This book is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, artificial intelligence, and machine learning.
商品描述(中文翻譯)
本書內容從多種模態(modalities)的資料融合與以神經網路為基礎的架構談起,延伸至即時應用與安全性考量。書中介紹多媒體與多模態智慧應用的多樣性,以及其在不同領域中的進一步發展可能性。討論主題包括:適用於輕量級多模態系統的邊緣人工智慧(edge artificial intelligence),以及用於多模態融合的深度學習架構。
• 全面介紹多媒體與多模態智慧領域的最新發展。
• 著重結合人工智慧、機器學習與深度學習的跨學科方法。
• 涵蓋多模態智慧所面臨的問題與缺點,包括資料異質性、即時處理需求,以及隱私層面。
• 討論適用於輕量級多模態系統的邊緣人工智慧,以及用於多模態融合的深度學習架構等主題。
• 說明自然語言處理(natural language processing)與視覺(vision)的整合、即時多模態處理,以及跨模態學習(cross-modal learning)。
本書主要讀者為電機工程、電子與通訊工程、電腦科學與工程、人工智慧及機器學習領域的高年級大學生、研究生與學術研究人員。
作者簡介
Pankaj Bhambri is a recognized leader in computer science and engineering, currently serving as Associate Professor in the Department of Information Technology at Guru Nanak Dev Engineering College, Ludhiana, India. With over 21 years of teaching and research experience, he has been honored as a Top 2% Scientist in the 2025 Stanford University list. He holds a Ph.D. in Computer Science and Engineering from I.K.G. Punjab Technical University and a Postdoctoral Researcher Certificate from Lincoln University College, Malaysia. Dr. Bhambri has an outstanding publication record, including numerous Scopus and SCIE-indexed papers, authored books, and multiple filed/granted patents. He serves as an academic editor for PLOS One, a reviewer for over 100 international journals and conferences, and has edited more than 20 books with leading publishers such as CRC Press, Taylor & Francis, and others. His extensive editorial leadership, combined with his expertise in AI, machine learning, IoT, and ethical computing, continues to shape contemporary research and technical education globally.
Sita Rani works in the Department of Computer Science and Engineering at Guru Nanak Dev Engineering College, Ludhiana, India. She is also a Post Doctoral Research Scientist at Department of Information Systems and Decision Sciences, Muma College of Business, University of South Florida, Tampa, Florida, USA since February 2025. She earned her Ph.D. in Computer Science and Engineering from I.K. Gujral Punjab Technical University, Kapurthala, Punjab in 2018. Previously, she completed Postdoc from Big Data Mining and Machine Learning Lab, South Ural State University, Russia, from May 2022 to August 2023 and Post Graduate Certificate Program in Data Science and Machine Learning from Indian Institute of Technology, Roorkee in 2023. Dr Rani has more than 20 years of academic, administration, and research experience during which she has worked at various designations like HoD, Training and Placement Officer, and Deputy Dean Research. She is an active member of ISTE, IEEE and IAEngg. She has been recognized in the Top 2% Scientists list published by Stanford University for the year 2024 and 2025. She is the receiver of ISTE Section Best Teacher Award-2020, and International Young Scientist Award-2021. She has contributed to the various research activities while publishing articles in the renowned SCI and Scopus journals and conference proceedings. She has published several national and international patents and authored, edited and coedited 21 books. Dr. Rani has delivered many expert talks in A.I.C.T.E. sponsored Faculty Development Programs and keynote talks in many National and International Conferences. She has also organized many International Conferences during her 20 years of experience. She is the member of Editorial Board and reviewer of many international journals of repute. She has also served as vice-president of SME and MSME (UT Council), Women Indian Chamber of Commerce and Industry (WICCI) from November 2021 to February 2025. Her research interest includes Data Science, Artificial Intelligence, Machine Learning, Blockchain Technology, Healthcare, and Sustainable Development.
A. Jose Anand is a Professor at the Department of Electronics and Communication Engineering, KCG College of Technology, Chennai, Tamil Nadu, India. He has one year of industrial experience and over 25 years of teaching experience. He received his Diploma from the state board of Technical Education, Tamil Nadu in 1995, Bachelor of Engineering Degree from Institution of Engineers (INDIA), Calcutta in 2003, Master of Engineering in Embedded System Technologies from Anna University, Chennai in 2006, Master of Arts in Public Administration from Annamalai University in 2000, Master of Business Administration from Alagappa University in 2007, and Ph.D. (Information and Communication Engineering) from Anna University in 2017. He received State 3rd Rank in Bachelor of Engineering. He is a member of Institution of Engineers (INDIA), Computer Society of India, Institution of Engineering and Technology, Institution of Electronics and Telecommunication Engineers, Indian Society for Technical Education, Engineers Without Borders (INDIA), etc. Dr. Anand has presented several papers at prominent conferences and has published several articles in reputed journals and also published books on professional and engineering subjects. He published several book chapters and acted as editor for edited books with CRC Press and other global publishers. He is a recognized research supervisor at Anna University. His area of interest includes Wireless Sensor Networks, Embedded Systems, Internet of Things, Machine Learning, and Image Processing. He also acted as reviewer for reputed conferences and journals.
作者簡介(中文翻譯)
Pankaj Bhambri 是電腦科學與工程領域備受肯定的領導者,目前擔任印度 Ludhiana 的 Guru Nanak Dev Engineering College 資訊科技系副教授。他擁有超過 21 年的教學與研究經驗,並獲選為 Stanford University 2025 年公布的全球前 2% 科學家。他取得 I.K.G. Punjab Technical University 電腦科學與工程博士學位,以及 Malaysia Lincoln University College 的博士後研究員證書。Bhambri 博士擁有傑出的學術出版成果,包括多篇收錄於 Scopus 與 SCIE 的論文、專著,以及多項已申請或獲核准的專利。他擔任 PLOS One 的學術編輯,並為超過 100 本國際期刊與國際會議擔任審稿人;此外,他也與 CRC Press、Taylor & Francis 等知名出版社合作,編輯超過 20 本書籍。他在學術編輯領導方面經驗豐富,並專精於 AI、機器學習、IoT 與倫理運算,持續在全球當代研究與技術教育領域發揮重要影響。
Sita Rani 任職於印度 Ludhiana 的 Guru Nanak Dev Engineering College 電腦科學與工程系。自 2025 年 2 月起,她也擔任美國佛羅里達州 Tampa 的 University of South Florida,Muma College of Business,資訊系統與決策科學系的博士後研究科學家。她於 2018 年取得 Punjab Technical University(位於 Punjab 的 Kapurthala)電腦科學與工程博士學位。此前,她曾於 2022 年 5 月至 2023 年 8 月,在俄羅斯 South Ural State University 的 Big Data Mining and Machine Learning Lab 從事博士後研究,並於 2023 年取得 Indian Institute of Technology, Roorkee 的資料科學與機器學習研究所後證書課程資格。
Rani 博士擁有超過 20 年的學術、行政與研究經驗,期間曾擔任系主任(HoD)、訓練與就業安置主任,以及研究副院長等職務。她是 ISTE、IEEE 與 IAEngg 的積極會員。她獲選為 Stanford University 公布的 2024 年與 2025 年全球前 2% 科學家。她曾獲頒 ISTE Section Best Teacher Award-2020,以及 International Young Scientist Award-2021。她積極參與各項研究活動,並在知名 SCI 與 Scopus 期刊及會議論文集發表文章。她已發表多項國內與國際專利,並擔任 21 本書籍的作者、編者與共同編者。
Rani 博士曾在多個由 A.I.C.T.E. 贊助的教師發展計畫中發表專家演講,也曾於許多國內與國際會議中擔任主題演講者。在 20 年的工作經驗中,她亦曾籌辦多場國際會議。她擔任多本知名國際期刊的編輯委員與審稿人。此外,從 2021 年 11 月至 2025 年 2 月,她曾擔任 SME and MSME(UT Council)及 Women Indian Chamber of Commerce and Industry(WICCI)的副主席。她的研究興趣包括資料科學、人工智慧、機器學習、Blockchain Technology、醫療保健與永續發展。
A. Jose Anand 是印度 Tamil Nadu 州 Chennai 市 KCG College of Technology 電子與通訊工程系教授。他擁有 1 年的產業經驗,以及超過 25 年的教學經驗。他於 1995 年取得 Tamil Nadu 州技術教育委員會頒發的文憑,2003 年取得 Institution of Engineers (INDIA), Calcutta 的工程學士學位,2006 年取得 Chennai 的 Anna University 嵌入式系統技術工程碩士學位,2000 年取得 Annamalai University 公共行政文學碩士學位,2007 年取得 Alagappa University 工商管理碩士學位,並於 2017 年取得 Anna University 資訊與通訊工程博士學位。他在工程學士學位考試中取得全州第 3 名。
他是 Institution of Engineers (INDIA)、Computer Society of India、Institution of Engineering and Technology、Institution of Electronics and Telecommunication Engineers、Indian Society for Technical Education、Engineers Without Borders (INDIA) 等組織的會員。Anand 博士曾在多場重要會議中發表論文,也在知名期刊發表多篇文章,並出版多本專業與工程領域的書籍。他出版了多篇書籍章節,並曾與 CRC Press 及其他全球出版社合作,擔任編輯書籍的編者。他是 Anna University 認可的研究指導教授。他的研究領域包括無線感測網路、嵌入式系統、物聯網、機器學習與影像處理。他也曾擔任知名會議與期刊的審稿人。