AI-Aided IoT Technologies and Applications for Smart Business and Production
暫譯: 智慧商業與生產的AI輔助物聯網技術與應用
Khang, Alex, Misra, Anuradha, Gupta, Shashi Kant
相關主題
商品描述
This book covers the need for Internet of Things (IoT) technologies and artificial intelligence (AI)-aided IoT solutions for business and production. It shows how IoT-based technology uses algorithms and AI models to bring out the desired results. AI-Aided IoT Technologies and Applications for Smart Business and Production shows how a variety of IoT technologies can be used toward integrating data fabric solutions and how intelligent applications can be used to greater effect in business and production operations. The book also covers the integration of IoT data-driven financial technology (fintech) applications to fulfill the goals of trusted AI-aided IoT solutions. Next, the authors show how IoT-based technology uses algorithms and AI models to bring out the desired results across various industries including smart cities, buildings, hospitals, hotels, homes, factories, agriculture, transportation, and more. The last part focuses on AI-aided IoT techniques, data analytics, and visualization tools.
This book targets a mixed audience of specialists, analysts, engineers, scholars, researchers, academics, and professionals. It will be useful to engineering officers, IoT and AI engineers, engineering and industrial management students, and research scholars looking for new ideas, methodologies, technologies, models, frameworks, theories, and practices to resolve the challenging issues associated with leveraging IoT technologies, data-driven analytics, AI-aided models, IoT cybersecurity, 5G, sensors, and augmented and virtual reality techniques for developing smart systems in the era of Industrial Revolution 4.0.
商品描述(中文翻譯)
本書涵蓋了物聯網（IoT）技術和人工智慧（AI）輔助的物聯網解決方案在商業和生產中的需求。它展示了基於物聯網的技術如何利用演算法和AI模型來實現所需的結果。《AI輔助的物聯網技術與智慧商業及生產應用》展示了各種物聯網技術如何用於整合數據架構解決方案，以及如何在商業和生產運營中更有效地使用智能應用。書中還涵蓋了物聯網數據驅動的金融科技（fintech）應用的整合，以實現可信的AI輔助物聯網解決方案的目標。接下來，作者展示了基於物聯網的技術如何利用演算法和AI模型在各行各業中實現所需的結果，包括智慧城市、建築、醫院、飯店、家庭、工廠、農業、交通等。最後一部分專注於AI輔助的物聯網技術、數據分析和可視化工具。
本書的目標讀者為專家、分析師、工程師、學者、研究人員、學術界人士及專業人士的混合群體。對於工程官員、物聯網和AI工程師、工程及工業管理學生，以及尋求新想法、方法論、技術、模型、框架、理論和實踐以解決與利用物聯網技術、數據驅動分析、AI輔助模型、物聯網網絡安全、5G、感測器以及增強和虛擬現實技術相關的挑戰性問題的研究學者，本書將會非常有用，特別是在工業革命4.0時代開發智慧系統的背景下。
作者簡介
Dr. Alex Khang is a Professor in Information Technology, he has over 28 years of teaching and researching Information Technology at the Universities of Science and Technology in Vietnam and United States; AI and Data Scientist, Department of AI and Data Science, Global Research Institute of Technology and Engineering, North Carolina, United States. He is a specialist of Data Engineering and Artificial Intelligence in multinational IT corporations and also in the contribution stage of knowledge and experience into the scope of tech talk, consultant, lecturer in full time and part-time, and evaluation on the sides of contents and engineering for the research, editor, Master / Ph.D. thesis for local and international institutes and schools of Information Technology.
Dr. Anuradha Misra is an Assistant Professor, Department of Computer Science & Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Lucknow Campus, India. Her main area of interest includes Database security, Software Engineering, Deep learning, Data Science and Machine Learning.
Dr. Shashi Kant Gupta, Ph.D. is a Researcher, Integral University, Lucknow, Uttar Pradesh, India. He has completed his Ph.D. in CSE from Integral University, Lucknow, UP, India, and Worked as Assistant Professor in the Department of Computer Science and Engineering, PSIT, Kanpur, U.P., India. He is currently Founder and CEO of CREP, Lucknow, UP, India. He is a member of Spectrum IEEE & Potentials Magazine IEEE since 2019 and many more international organizations for research activities.
Dr. Vrushank Shah, is the Head of Electronics and Communication, Indus Institute of Technology and Engineering, Indus University, Rancharda, Via Shilaj Ahmedabad, Gujarat, India. He has more than 13 years of continuous teaching and research experience in Electronics Engineering, Communication Engineering, Cyber Security, Data Mining, Machine Learning, and the Internet of Things.
作者簡介(中文翻譯)
阿歷克斯·康博士是資訊科技的教授，擁有超過28年的教學和研究經驗，曾在越南和美國的科學與技術大學任教；同時也是美國北卡羅來納州全球科技與工程研究所人工智慧與數據科學系的人工智慧和數據科學家。他是跨國資訊科技公司中數據工程和人工智慧的專家，並在技術講座、顧問、全職和兼職講師的角色中貢獻知識和經驗，並對研究內容和工程進行評估，擔任當地和國際資訊科技機構及學校的碩士/博士論文的編輯。
阿努拉達·米斯拉博士是印度阿米提大學烏塔爾普拉德什分校工程與技術學院計算機科學與工程系的助理教授。她的主要研究領域包括數據庫安全、軟體工程、深度學習、數據科學和機器學習。
沙希·坎特·古普塔博士是印度烏塔爾普拉德什州盧克諾的整合大學的研究員。他在印度盧克諾的整合大學完成了計算機科學與工程的博士學位，並曾在印度坎普爾的PSIT計算機科學與工程系擔任助理教授。他目前是印度盧克諾CREP的創始人兼首席執行官，自2019年以來，他是Spectrum IEEE和Potentials Magazine IEEE的成員，並參與多個國際研究組織。
弗魯尚克·沙博士是印度古吉拉特邦艾哈邁達巴德的印達斯大學印達斯技術與工程學院電子與通信系主任。他在電子工程、通信工程、網絡安全、數據挖掘、機器學習和物聯網方面擁有超過13年的持續教學和研究經驗。
