Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science
暫譯: 未來通訊系統：運用人工智慧、物聯網與數據科學
Ullah, Inam, Khan, Inam Ullah, Ouaissa, Mariya
- 出版商: CRC
- 出版日期: 2026-05-21
- 售價: $2,520
- 貴賓價: 9.5 折 $2,394
- 語言: 英文
- 頁數: 236
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032648279
- ISBN-13: 9781032648279
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相關分類:
Machine Learning、物聯網 IoT、Data-mining
尚未上市，無法訂購
商品描述
Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science mainly focuses on the techniques of artificial intelligence (AI), Internet of Things (IoT) and data science for future communications systems.
The goal of AI, IoT and data science for future communications systems is to create a venue for industry and academics to collaborate on the development of network and system solutions based on data science, AI and IoT. Recent breakthroughs in IoT, mobile and fixed communications and computation have paved the way for a data-centric society of the future. New applications are increasingly reliant on machine-to-machine connections, resulting in unusual workloads and the need for more efficient and dependable infrastructures. Such a wide range of traffic workloads and applications will necessitate dynamic and highly adaptive network environments capable of self-optimization for the task at hand while ensuring high dependability and ultra-low latency.
Networking devices, sensors, agents, meters and smart vehicles/systems generate massive amounts of data, necessitating new levels of security, performance and dependability. Such complications necessitate the development of new tools and approaches for providing successful services, management and operation. Predictive network analytics will play a critical role in insight generation, process automation required for adapting and scaling to new demands, resolving issues before they impact operational performance (e.g., preventing network failures and anticipating capacity requirements) and overall network decision-making. To increase user experience and service quality, data mining and analytic techniques for inferring quality of experience (QoE) signals are required.
AI, IoT, machine learning, reinforcement learning and network data analytics innovations open new possibilities in areas such as channel modeling and estimation, cognitive communications, interference alignment, mobility management, resource allocation, network control and management, network tomography, multi-agent systems and network ultra-broadband deployment prioritization. These new analytic platforms will aid in the transformation of our networks and user experience. Future networks will enable unparalleled automation and optimization by intelligently gathering, analyzing, learning and controlling huge volumes of information.
商品描述(中文翻譯)
《未來通訊系統使用人工智慧、物聯網與數據科學》主要聚焦於未來通訊系統中人工智慧（AI）、物聯網（IoT）和數據科學的技術。
AI、IoT 和數據科學在未來通訊系統中的目標是創造一個產業與學術界合作的場域，以基於數據科學、AI 和 IoT 的網絡和系統解決方案進行開發。最近在物聯網、行動和固定通訊及計算方面的突破，為未來的數據中心社會鋪平了道路。新的應用越來越依賴機器對機器的連接，這導致了異常的工作負載以及對更高效和可靠基礎設施的需求。如此廣泛的流量工作負載和應用將需要動態且高度自適應的網絡環境，能夠針對當前任務進行自我優化，同時確保高可靠性和超低延遲。
網絡設備、傳感器、代理、計量器和智能車輛/系統產生大量數據，這需要新的安全性、性能和可靠性水平。這些複雜性要求開發新的工具和方法，以提供成功的服務、管理和運營。預測性網絡分析將在洞察生成、適應和擴展新需求所需的過程自動化、在影響運營性能之前解決問題（例如，防止網絡故障和預測容量需求）以及整體網絡決策中發揮關鍵作用。為了提高用戶體驗和服務質量，需要數據挖掘和分析技術來推斷體驗質量（QoE）信號。
AI、IoT、機器學習、強化學習和網絡數據分析的創新在通道建模和估計、認知通訊、干擾對齊、移動管理、資源分配、網絡控制和管理、網絡斷層成像、多代理系統以及網絡超寬頻部署優先級等領域開啟了新的可能性。這些新的分析平台將有助於我們的網絡和用戶體驗的轉型。未來的網絡將通過智能地收集、分析、學習和控制大量信息，實現無與倫比的自動化和優化。
作者簡介
Dr. Inam Ullah received a B.Sc. degree in Electrical Engineering (Telecommunication) from the Department of Electrical Engineering, University of Science and Technology Bannu (USTB), KPK, Pakistan, in 2016 and a Master's and Ph.D. degree in Information and Communication Engineering from the College of Internet of Things (IoT) Engineering, Hohai University (HHU), Changzhou Campus, 213022, China, in 2018 and 2022, respectively. He completed his postdoc with Brain Korea 2021 (BK21) at the Chungbuk Information Technology Education and Research Center, Chungbuk National University, Cheongju 28644, S Korea, from Oct. 2022 to March 31, 2023. He is currently an Assistant Professor at the Department of Computer Engineering, Gachon University, S Korea. His research interests include Robotics, Internet of Things (IoT), Wireless Sensor Networks (WSNs), Underwater Communication and Localization, Underwater Sensor Networks (USNs), Artificial Intelligence (AI), Big data, Deep learning, etc. He has authored more than 70 peer-reviewed articles on various research topics. He is the reviewer of many prominent journals, including IEEE Transactions on Industrial Informatics KSII Transactions on Internet & Information Systems, IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems, Transactions on Sustainable Computing, IEEE ACCESS, Sustainable Energy Technologies and Assessments, Future Generation Computer Systems (FGCS), Computers and Electrical Engineering (Elsevier), Internet of Things (IoT) Journal, Digital Communications & Networks (Elsevier), Wireless Communication & Mobile Computing (WCMC), Alexandria Engineering Journal Sensors, Electronics, Remote Sensing, Applied Sciences, Computational Intelligence and Neurosciences, etc. His awards and honors include the Best Student Award from the University of Science and Technology Bannu (USTB), KPK, Pakistan, in 2015 and the Prime Minister Laptop Scheme Award from the University of Science and Technology Bannu (USTB), KPK, Pakistan, in April 2015. Top-10 students award of the College of Internet of Things (IoT) Engineering, Hohai University, China in June 2019, Top-100 students award of Hohai University (HHU), China in June 2019, Jiangsu Province Distinguish International Students award (30,000 RMB) in 2019-2020, Certificate of Recognition from Hohai University (HHU), China in 2021 & 2022 both, Top-100 students award of Hohai University (HHU), China in May 2022, Top-10 Outstanding Students Award, Hohai University (HHU), China in June 2022, and Distinguished Alumni Award from University of Science and Technology Bannu (USTB), KPK, Pakistan in Oct. 2022.
Dr. Inam Ullah Khan is the Founder of Internet of Flying Vehicles-Lab at AI-EYS. Recently, he is working as Global Mentor/ Guest Lecturer at Impact Xcelerator, IE School of Science and Technology, Madrid, Spain. Previously, he was working as visiting researcher at King's College London, United Kingdom. Also, he was faculty member at different universities in Pakistan which include Center for Emerging Sciences Engineering & Technology (CESET), Islamabad, Abdul Wali Khan University, Garden Campus, Timergara Campus, University of Swat & Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad Campus. He completed his Ph.D. in Electronics Engineering from Department of Electronic Engineering, Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS). Also, he did his M.S. degree in Electronic Engineering at Department of Electronic Engineering, Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS). He had done undergraduate degree in Bachelor of Computer Science from Abdul Wali Khan University Mardan, Pakistan. He authored/coauthored more than 50 research articles in reputable journals, conferences and book chapters. His research interest includes Network System Security, Intrusion Detection, Intrusion Prevention, cryptography, Optimization techniques, WSN, IoT, Mobile Ad Hoc Networks (MANETS), Flying Ad Hoc Networks, and Machine Learning. He served in many international conferences as Session Chair/ Technical program committee member. Also, he served as Guest Editor with many prestigious international journals. Apart from that he is General Chair at International Conference on Trends and Innovations in Smart Technologies (ICTIST'22), virtually from London, United Kingdom. In addition, he also served as editor of several books. More interestingly, he was invited as technology expert many times on Pakistan National Television and other media outlets.
Dr. Mariya Ouaissa
Dr. Mariyam Ouaissa is currently an Assistant Professor in Networks and Systems at ENSA, Chouaib Doukkali University, El Jadida, Morocco. She received her Ph.D. degree in 2019 from National Graduate School of Arts and Crafts, Meknes, Morocco and her Engineering Degree in 2013 from the National School of Applied Sciences, Khouribga, Morocco. She is a communication and networking researcher and practitioner with industry and academic experience. Dr Ouaissa's research is multidisciplinary that focuses on Internet of Things, M2M, WSN, vehicular communications and cellular networks, security networks, congestion overload problem and the resource allocation management and access control. She is serving as a reviewer for international journals and conferences including as IEEE Access, Wireless Communications and Mobile Computing. Since 2020, she is a member of "International Association of Engineers IAENG" and "International Association of Online Engineering", and since 2021, she is an "ACM Professional Member". She has published more than 30 research papers (this includes book chapters, peer-reviewed journal articles, and peer-reviewed conference manuscripts), 10 edited books, and 6 special issue as guest editor. She has served on Program Committees and Organizing Committees of several conferences and events and has organized many Symposiums / Workshops / Conferences as a General Chair.
Dr. Salma El Hajjami is an Assistant Professor and Researcher at Faculty of science, Ibn Zohr University, Agadir, Morocco since 2021. She is a Ph.D, graduated in 2021 in Computer Science, at the Laboratory of Artificial Intelligence, Data Science and Emerging Systems from ENSA, Sidi Mohammed Ben Abdellah University, Fez, Morocco. She is a Computer Science Engineer, graduated in 2015 from National School of Applied Sciences Fez, Morocco. She has previous expertise acting in Ministry of interior Morocco as Research and Development Engineer from 2017 to 2021. She is member of International Association of Engineers (IAENG) and International Association of Online Engineering. Dr. Salma has made contributions in the fields of Social Big Data, Semantics Analytics, Anomaly Detection, and Imbalanced Big Data published at international conferences and journals. Her main research topics are Machine Learning, Deep Learning, Imbalanced Big Data, Data Science and Blockchain. She has served and continues to serve on technical program and organizer committees of several conferences also as a reviewer of numerous international journals.
作者簡介(中文翻譯)
伊南·烏拉（Dr. Inam Ullah）於2016年在巴基斯坦KPK省班努科技大學（University of Science and Technology Bannu, USTB）電機工程系獲得電機工程（通訊）學士學位，並於2018年和2022年在中國河海大學（Hohai University, HHU）物聯網工程學院獲得資訊與通訊工程碩士及博士學位。他於2022年10月至2023年3月在韓國忠北國立大學（Chungbuk National University）忠北資訊技術教育與研究中心完成了Brain Korea 2021（BK21）的博士後研究。目前，他是韓國嘉泉大學（Gachon University）計算機工程系的助理教授。他的研究興趣包括機器人技術、物聯網（IoT）、無線感測網路（WSNs）、水下通訊與定位、水下感測網路（USNs）、人工智慧（AI）、大數據、深度學習等。他已發表超過70篇同行評審的文章，涵蓋各種研究主題。他是多本知名期刊的審稿人，包括IEEE工業資訊學報（IEEE Transactions on Industrial Informatics）、KSII網路與資訊系統學報（KSII Transactions on Internet & Information Systems）、IEEE車輛技術學報（IEEE Transactions on Vehicular Technology）、IEEE智慧交通系統學報（IEEE Transactions on Intelligent Transportation Systems）、可持續計算學報（Transactions on Sustainable Computing）、IEEE ACCESS、可持續能源技術與評估（Sustainable Energy Technologies and Assessments）、未來世代計算系統（Future Generation Computer Systems, FGCS）、計算機與電氣工程（Computers and Electrical Engineering, Elsevier）、物聯網（IoT）期刊、數位通訊與網路（Digital Communications & Networks, Elsevier）、無線通訊與行動計算（Wireless Communication & Mobile Computing, WCMC）、亞歷山大工程學報（Alexandria Engineering Journal）、感測器（Sensors）、電子學（Electronics）、遙感（Remote Sensing）、應用科學（Applied Sciences）、計算智慧（Computational Intelligence）和神經科學（Neurosciences）等。他的獎項與榮譽包括2015年獲得巴基斯坦KPK省班努科技大學（USTB）最佳學生獎、2015年4月獲得巴基斯坦KPK省班努科技大學（USTB）總理筆記型電腦計畫獎、2019年6月獲得河海大學物聯網工程學院前十名學生獎、2019年6月獲得河海大學（HHU）前一百名學生獎、2019-2020年獲得江蘇省傑出國際學生獎（30,000人民幣）、2021年和2022年均獲得河海大學（HHU）表彰證書、2022年5月獲得河海大學（HHU）前一百名學生獎、2022年6月獲得河海大學（HHU）傑出學生獎，以及2022年10月獲得巴基斯坦KPK省班努科技大學（USTB）傑出校友獎。
伊南·烏拉·汗（Dr. Inam Ullah Khan）是AI-EYS的飛行車輛實驗室創始人。最近，他在西班牙馬德里IE科學與技術學院的Impact Xcelerator擔任全球導師/客座講師。此前，他曾在英國倫敦國王學院擔任訪問研究員。此外，他曾在巴基斯坦的多所大學任教，包括伊斯蘭堡新興科學工程與技術中心（Center for Emerging Sciences Engineering & Technology, CESET）、阿卜杜勒·瓦利·汗大學（Abdul Wali Khan University）、斯瓦特大學（University of Swat）及伊斯蘭堡的沙希德·祖爾菲卡爾·阿里·布托科學與技術學院（SZABIST）。他在伊斯蘭堡的以色拉大學（Isra University）電子工程系獲得電子工程博士學位，並在同校電子工程系獲得電子工程碩士學位。他在巴基斯坦阿卜杜勒·瓦利·汗大學馬爾丹校區獲得計算機科學學士學位。他在多個知名期刊、會議和書籍章節中發表/共同發表超過50篇研究文章。他的研究興趣包括網路系統安全、入侵檢測、入侵防護、密碼學、優化技術、無線感測網路（WSN）、物聯網（IoT）、行動自組網（MANETS）、飛行自組網和機器學習。他在多個國際會議中擔任會議主席/技術計畫委員會成員，並擔任多本國際期刊的客座編輯。此外，他還擔任國際智能技術趨勢與創新會議（ICTIST'22）的總主席，會議以虛擬方式在英國倫敦舉行。此外，他還擔任多本書籍的編輯。更有趣的是，他多次受邀作為技術專家在巴基斯坦國家電視台及其他媒體出現。
瑪莉亞·歐艾莎（Dr. Mariya Ouaissa）目前是摩洛哥埃爾哈迪達的喬伊布·杜卡利大學（Chouaib Doukkali University）網路與系統助理教授。她於2019年在摩洛哥梅克內斯的國立工藝研究生院獲得博士學位，並於2013年在摩洛哥庫里比加的國立應用科學學校獲得工程學位。她是一位具有產業和學術經驗的通訊與網路研究者及實踐者。歐艾莎博士的研究是多學科的，專注於物聯網（IoT）、機器對機器（M2M）、無線感測網路（WSN）、車輛通訊和行動網路、安全網路、擁塞過載問題以及資源分配管理和存取控制。她擔任多本國際期刊和會議的審稿人，包括IEEE Access、無線通訊與行動計算（Wireless Communications and Mobile Computing）。自2020年以來，她是「國際工程師協會（IAENG）」和「國際在線工程協會」的成員，自2021年起，她是「ACM專業會員」。她已發表超過30篇研究論文（包括書籍章節、同行評審的期刊文章和會議論文），編輯了10本書籍，並作為客座編輯發表了6個特刊。她曾在多個會議和活動的計畫委員會和組織委員會中任職，並作為總主席組織了多個研討會/工作坊/會議。
薩爾瑪·艾哈賈米（Dr. Salma El Hajjami）自2021年以來是摩洛哥阿加迪爾伊本·祖赫爾大學（Ibn Zohr University）科學學院的助理教授和研究員。她於2021年在摩洛哥菲斯的西迪·穆罕默德·本·阿卜杜拉大學（Sidi Mohammed Ben Abdellah University）人工智慧、數據科學與新興系統實驗室獲得計算機科學博士學位。她於2015年在摩洛哥菲斯的國立應用科學學校獲得計算機科學工程學位。她曾在摩洛哥內政部擔任研究與開發工程師，任職於2017年至2021年。她是國際工程師協會（IAENG）和國際在線工程協會的成員。薩爾瑪博士在社會大數據、語義分析、異常檢測和不平衡大數據等領域做出了貢獻，並在國際會議和期刊上發表。她的主要研究主題包括機器學習、深度學習、不平衡大數據、數據科學和區塊鏈。她曾在多個會議的技術計畫和組織委員會中任職，並持續擔任多本國際期刊的審稿人。
