Multimedia and Multimodal Intelligence for Secure and Sustainable Healthcare: Theoretical and Practical Insights
暫譯: 安全與永續醫療的多媒體與多模態智慧：理論與實務洞見
Rani, Sita, Khoo, Sui Yang, Kalra, Ashima
- 出版商: CRC
- 出版日期: 2026-09-30
- 售價: $5,530
- 貴賓價: 9.5 折 $5,253
- 語言: 英文
- 頁數: 270
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 104112600X
- ISBN-13: 9781041126003
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相關分類:
Machine Learning、Computer Vision
尚未上市，無法訂購
商品描述
Providing a comprehensive examination of artificial intelligence techniques that integrate heterogeneous healthcare data to support intelligent, secure, and sustainable healthcare systems, this book presents both theoretical foundations and practical methodologies for multimodal data fusion, representation learning, decision-making using medical images, biosignals, electronic health records, wearable sensors, text, and multimedia data.
- Illustrates analyzing and integrating multiple modalities of healthcare data, such as medical images, electronic health records, bio signals, and genomic data.
- Emphasizes the role of multimedia intelligence in healthcare by leveraging advanced artificial intelligence techniques to analyze diverse data formats, including text, images, audio, and video.
- Presents practical applications that ensure secure healthcare data management and sustainable solutions, focusing on improving patient care and enhancing diagnostics.
- Covers the different security mechanisms applied in multimodal and multimedia-based healthcare applications.
- Showcases the role of advanced artificial intelligence and machine learning methods, including privacy-preserving technologies, blockchain, and explainable artificial intelligence tailored for secure healthcare.
Multimedia and Multimodal Intelligence for Secure and Sustainable Healthcare is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.
商品描述(中文翻譯)
本書全面探討整合異質醫療資料的人工智慧技術，以支援智慧、安全且永續的醫療系統，並同時介紹多模態資料融合、表徵學習，以及運用醫療影像、生物訊號、電子健康紀錄、穿戴式感測器、文字與多媒體資料進行決策的理論基礎與實務方法。
• 說明如何分析與整合多種形式的醫療資料，例如醫療影像、電子健康紀錄、生物訊號與基因組資料。
• 強調多媒體智慧在醫療領域中的作用，運用先進人工智慧技術分析文字、影像、音訊與視訊等多樣化資料格式。
• 介紹確保醫療資料安全管理與永續解決方案的實務應用，著重於改善病患照護與提升診斷效能。
• 涵蓋應用於多模態與多媒體醫療系統的各種安全機制。
• 展示先進人工智慧與機器學習方法在安全醫療領域中的作用，包括隱私保護技術、區塊鏈，以及專為安全醫療打造的可解釋人工智慧（Explainable Artificial Intelligence, XAI）。
《安全與永續醫療的多媒體與多模態智慧》主要適合電機工程、電子與通訊工程、資訊工程，以及生物醫學工程領域的大學高年級學生、研究生與學術研究人員閱讀。
作者簡介
Sita Rani works in the Department of Computer Science and Engineering at Guru Nanak Dev Engineering College, Ludhiana. She has more than 20 years of academic, administration, and research experience. Her research interest includes Data Science, Artificial Intelligence, Machine Learning, Blockchain Technology, Smart Healthcare, and Sustainable Development.
Sui Yang Khoo is an Associate Professor in Electrical & Electronics Engineering, Deakin University, Victoria, Australia. Sui Yang's research interests include stochastic differential equations, variable structure control, co-operative control, robotics, adaptive signal processing, time-varying systems, and machine learning.
Ashima Kalra is currently serving as an Associate Professor in the Department of Electronics and Communication Engineering at Chandigarh Engineering College (CGC), Landran. Her contributions have been widely recognized through multiple academic excellence awards, including the prestigious Women Leadership Award, reflecting her sustained commitment to quality education, impactful research, and leadership in engineering education.
Hemant Kumar Saini works as an academic at the School of Computer Science Engineering at Bennett University (The Times Group), Greater Noida, India and Lincoln University, Malaysia. He has more than 14 years of teaching experience. His research includes digital transformation technologies such as Artificial Intelligence (AI), Quantum Computing, Internet of Things (IoT), Blockchain, Edge and Serverless computing, Cloud-native computing, and Digital Twins.
作者簡介(中文翻譯)
Sita Rani 任職於 Guru Nanak Dev Engineering College, Ludhiana 的 Department of Computer Science and Engineering。她擁有超過 20 年的學術、行政與研究經驗。她的研究興趣包括 Data Science、Artificial Intelligence、Machine Learning、Blockchain Technology、Smart Healthcare 與 Sustainable Development。
Sui Yang Khoo 是澳洲維多利亞州 Deakin University 電機與電子工程系的副教授。他的研究興趣包括 stochastic differential equations、variable structure control、co-operative control、robotics、adaptive signal processing、time-varying systems 與 machine learning。
Ashima Kalra 目前任職於 Chandigarh Engineering College (CGC), Landran 的 Department of Electronics and Communication Engineering，擔任副教授。她的貢獻獲得廣泛肯定，並曾多次榮獲學術卓越獎，包括享有盛譽的 Women Leadership Award，展現她長期致力於優質教育、具影響力的研究，以及工程教育領導工作的承諾。
Hemant Kumar Saini 任職於印度 Greater Noida 的 Bennett University (The Times Group) School of Computer Science Engineering，以及馬來西亞的 Lincoln University，擔任學術人員。他擁有超過 14 年的教學經驗。他的研究涵蓋多項數位轉型技術，包括 Artificial Intelligence (AI)、Quantum Computing、Internet of Things (IoT)、Blockchain、Edge and Serverless Computing、Cloud-native Computing，以及 Digital Twins。
