Decentralized Futures: Navigating the Integration of Blockchain Technology with Artificial Intelligence
暫譯: 去中心化的未來：探索 Blockchain Technology 與 Artificial Intelligence 的整合
Panigrahi, Amrutanshu, Pati, Abhilash, Jain, Prince
- 出版商: CRC
- 出版日期: 2026-10-26
- 售價: $6,260
- 貴賓價: 9.5 折 $5,947
- 語言: 英文
- 頁數: 300
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041111665
- ISBN-13: 9781041111665
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相關分類:
區塊鏈 Blockchain、Machine Learning
尚未上市，無法訂購
相關主題
商品描述
This book provides readers with a comprehensive grasp of blockchain technology by exploring its applications, security measures and protocols along with the need for safe blockchain networks, and the incorporation of artificial intelligence improving blockchain performance.
Decentralized Futures: Navigating the Integration of Blockchain Technology with Artificial Intelligence seeks to provide readers with a thorough understanding of blockchain technology, security frameworks, and the integration of artificial intelligence. The book initially focuses on the fundamental characteristics of blockchain, alongside various implementation frameworks. The authors explore machine learning techniques to identify suspicious and fraudulent transaction patterns, such as in behavior analysis and examine AI-based clustering and classification techniques to break apart blockchain data for easier processing and more efficient analysis. Additionally, this book provides an in-depth examination of consensus mechanisms that enhance blockchain effectiveness. Through real-world applications, readers will gain practical insights by applying the lessons and guidance from these examples to their own work. The book investigates how AI integration with blockchain creates effective decentralized futures, while also providing an exploratory perspective on the opportunities and challenges inherent in this convergence.
This book targets a mixed audience of data scientists, engineers, researchers, academics, and students on different levels to share and contribute cutting-edge technologies, methodologies, frameworks, and practices in the Blockchain integrated with AI.
商品描述(中文翻譯)
本書透過探討區塊鏈技術的應用、安全措施與通訊協定，以及建構安全區塊鏈網路的必要性，並說明如何整合人工智慧以提升區塊鏈效能，協助讀者全面掌握區塊鏈技術。
《去中心化的未來：探索區塊鏈技術與人工智慧的整合》旨在讓讀者深入了解區塊鏈技術、安全架構，以及人工智慧的整合方式。本書首先聚焦於區塊鏈的基本特性，並介紹各種實作架構。作者探討如何運用機器學習技術識別可疑與詐欺交易模式，例如進行行為分析；同時也檢視以人工智慧為基礎的分群與分類技術，將區塊鏈資料拆分為更易於處理的形式，以實現更有效率的分析。此外，本書深入探討能夠提升區塊鏈效能的共識機制。透過真實世界的應用案例，讀者將能從這些範例中獲得實務洞見，並將相關課程內容與指引應用於自身工作。本書也研究人工智慧與區塊鏈的整合如何創造有效的去中心化未來，同時從探索性的角度剖析兩者融合所帶來的機會與挑戰。
本書的讀者對象廣泛，涵蓋不同程度的資料科學家、工程師、研究人員、學術工作者與學生，旨在分享並促進區塊鏈與人工智慧整合領域中的尖端技術、方法論、架構與實務。
作者簡介
Dr. Amrutanshu Panigrahi is an accomplished academic and researcher, currently serving as Assistant Professor in the Department of Computer Science and Engineering at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India. Demonstrating a strong commitment to international research collaboration, Dr. Panigrahi is currently undertaking postdoctoral research at Lincoln University College, Malaysia. His core research interests lie at the intersection of blockchain technology, ML, DL, and cloud computing. Dr. Panigrahi has published more than 100 research articles in reputable SCIE, ESCI, Scopus-indexed journals, and international conferences. He is an editorial board member of BMC Artificial Intelligence, Edelweiss Applied Science and Technology journal, and Discover Artificial Intelligence. He also serves as a reviewer for several SCIE, ESCI, and Scopus-indexed journals.
Dr. Abhilash Pati is currently working as Assistant Professor in the Department of CSE, FET-ITER, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, and also a postdoctoral fellow at Lincoln University College in Malaysia. He qualified UGC-NET (Assistant Professor Only) in December 2019. His research interests include IoT, fog computing, ML, and DL, and he has more than 100 publications in SCIE, ESCI, and Scopus-indexed journals and/or conferences. He is an editorial board member of various journals, including Discover Artificial Intelligence, Big Data and Computing Visions, BMC Artificial Intelligence, and Edelweiss Journal of Engineering and Technology. He is also an active reviewer for various SCIE, ESCI, and Scopus-indexed international journals. He has authored three textbooks. Dr. Prince Jain is an accomplished academic, researcher, and innovator in machine learning, artificial intelligence, and advanced engineering. He currently serves as Assistant Professor (Research Cadre) at Parul Institute of Technology, Parul University, Vadodara. He earned his Ph.D. in Electronics Engineering from Punjab Engineering College, Chandigarh, where he developed a strong foundation in interdisciplinary research. Recognized among the world's top 2% scientists in 2025 by Elsevier-Stanford, Dr. Jain's work spans cutting-edge areas such as metamaterials, IoT-based healthcare systems, and biomedical signal processing. With prior academic experience at reputable institutions such as Chandigarh University, he is dedicated to advancing knowledge through research, teaching, and innovation. His contributions reflect a commitment to solving real-world problems using technology, while mentoring students and collaborating on impactful scientific developments across multiple domains. Dr. Haipeng Liu is a researcher and academic professional specializing in wearable healthcare technologies, biomedical sensing, and intelligent monitoring systems. He is affiliated with Coventry University, where he actively contributes to research and postgraduate supervision, particularly on projects focused on cost-effective healthcare solutions using wearable sensors. His work centers on post-stroke rehabilitation monitoring, leveraging emerging technologies such as artificial intelligence, the Internet of Medical Things (IoMT), and cloud-based diagnostics to enable continuous, remote patient care. Dr. Liu has also contributed to scholarly publications, including reviews on advanced wearable sensor systems for healthcare applications. Beyond research, he mentors students and promotes diversity initiatives, including supporting female participation in STEM through international scholarship programs. His contributions reflect a commitment to advancing accessible, technology-driven healthcare and improving patient outcomes through innovative engineering solutions.作者簡介(中文翻譯)
Dr. Amrutanshu Panigrahi 是一位成就卓著的學者與研究人員，目前擔任印度奧迪夏邦布巴內斯瓦爾 Siksha 'O' Anusandhan（Deemed to be University）Computer Science and Engineering 系的助理教授。Dr. Panigrahi 致力於國際研究合作，目前正在馬來西亞 Lincoln University College 進行博士後研究。他的核心研究興趣涵蓋 blockchain technology、ML、DL 與 cloud computing 的交叉領域。Dr. Panigrahi 已在具良好聲譽的 SCIE、ESCI、Scopus 收錄期刊及國際會議中發表超過 100 篇研究論文。他是 BMC Artificial Intelligence、Edelweiss Applied Science and Technology 期刊及 Discover Artificial Intelligence 的編輯委員，也擔任多本 SCIE、ESCI 與 Scopus 收錄期刊的審稿人。
Dr. Abhilash Pati 目前任職於印度 Bhubaneswar 的 Siksha 'O' Anusandhan（Deemed to be University）FET-ITER、CSE 系，擔任助理教授，同時也是馬來西亞 Lincoln University College 的博士後研究員。他於 2019 年 12 月通過 UGC-NET（僅限助理教授資格）。他的研究興趣包括 IoT、fog computing、ML 與 DL，並已在 SCIE、ESCI 及 Scopus 收錄的期刊及／或會議中發表超過 100 篇論文。他是多本期刊的編輯委員，包括 Discover Artificial Intelligence、Big Data and Computing Visions、BMC Artificial Intelligence 及 Edelweiss Journal of Engineering and Technology。他也是多本 SCIE、ESCI 與 Scopus 收錄國際期刊的積極審稿人，並已撰寫三本教科書。
Dr. Prince Jain 是一位在 machine learning、artificial intelligence 與 advanced engineering 領域成就卓著的學者、研究人員及創新者。目前，他擔任 Parul University Parul Institute of Technology 的助理教授（研究職系），任職地點位於 Vadodara。他於 Chandigarh 的 Punjab Engineering College 取得 Electronics Engineering 博士學位，並在跨領域研究方面奠定了深厚基礎。Dr. Jain 於 2025 年獲 Elsevier-Stanford 評選為全球前 2% 科學家之一，其研究涵蓋超材料、基於 IoT 的醫療照護系統及生醫訊號處理等前沿領域。他過去曾在 Chandigarh University 等知名學術機構任教，致力於透過研究、教學與創新推動知識發展。他的研究成果展現出運用科技解決現實世界問題的承諾，同時也積極指導學生，並與不同領域的研究人員合作，推動具有影響力的科學發展。
Dr. Haipeng Liu 是一位專精於穿戴式醫療照護技術、生醫感測及智慧監測系統的研究人員與學術專業人士。他隸屬於 Coventry University，積極參與研究與研究生指導，尤其投入運用穿戴式感測器開發具成本效益之醫療照護解決方案的相關專案。他的研究聚焦於中風後復健監測，運用 artificial intelligence、Internet of Medical Things（IoMT）及雲端診斷等新興技術，實現持續性的遠端病患照護。Dr. Liu 也參與多項學術出版工作，包括撰寫探討醫療照護應用之先進穿戴式感測器系統的綜述文章。除了研究工作之外，他也指導學生並推動多元共融倡議，包括透過國際獎學金計畫支持女性參與 STEM 領域。他的貢獻展現出推動普及且以科技為核心的醫療照護，以及透過創新的工程解決方案改善病患醫療成果的承諾。
