Machine Learning for Complex and Unmanned Systems

This book highlights applications that include machine learning methods to enhance new developments in complex and unmanned systems. The main topics covered under this title include: machine learning, artificial intelligence, cryptography, submarines, drones, security in healthcare, Internet of Things and robotics.

這本書突出了應用機器學習方法來增強複雜和無人系統的新發展。本書主要涵蓋的主題包括：機器學習、人工智慧、密碼學、潛艇、無人機、醫療保健安全、物聯網和機器人技術。

Esteban Tlelo Cuautle received a B.Sc. degree from Instituto Tecnológico de Puebla (ITP) México in 1993. He then received both M.Sc. and Ph.D. degrees from Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), México in 1995 and 2000, respectively. During 1995-2000 he was with the electronics-engineering department at ITP. In 2001 he was appointed as Professor-Researcher at INAOE. He has been Visiting Researcher in the department of Electrical Engineering at University of California Riverside, USA (2009-2010), in the department of Computer Science at CINVESTAV, México City, México (2016-2017), and Visiting Lecturer at University of Electronic Science and Technology of China (UESTC, Chengdu 2014-2019). He has authored 5 books, edited 12 books and more than 300 works published in book chapters, international journals and conferences. He is member in the National System for Researchers (SNI-CONACyT-México). His research interests include integrated circuit design, optimization by metaheuristics, fractional-order chaotic systems, artificial intelligence, security in Internet of Things, and analog/RF and mixed-signal design automation tools.

Jose Martinez-Carranza is a Full-Time Principal Researcher B (equivalent to Associate Professor) in the Computer Science Department at the Instituto Nacional de Astrofisica Optica y Electronica (INAOE). In 2015, he was awarded the Newton Advanced Fellowship granted by the Newton Fund and the Royal Society in the UK. Currently, he holds an Honorary Senior Research Fellowship in the Computer Science Department at the University of Bristol in the UK. He leads a research team that has won international competitions such as 1st Place in the IEEE IROS 2017 Autonomous Drone Racing competition and 1st Place in the Regional Prize of the OpenCV AI Competition 2021. He also served as General Chair of the International Micro Air Vehicle conference, the IMAV 2021. In 2022, he joined the editorial board of the journal "Unmanned Systems". His research focuses on vision-based methods for robotics with applications in autonomous and intelligent drones.

Everardo Inzunza-Gonzalez received his Ph.D. degree in Electrical Sciences from UABC Mexico in 2013, and the M.Sc. degree in Electronics and Telecommunications from the Scientific Research and Advanced Studies Center of Ensenada (CICESE) in 2001, the B.Sc. degree in Electronics Engineering from Culiacan Institute of Technology, in 1999. He is currently a full-time Professor and Researcher of Electronics Engineering at Universidad Autónoma de Baja California (UABC-FIAD) Mexico. He is currently a reviewer for several prestigious journals. His research interest includes the Internet of things, Network Security, Data Science, Artificial Intelligence, Machine-Learning and Deep-Learning, Wireless Communication, Image Processing, WSN, Pattern Recognition, Wearable Devices, Embedded Systems, FPGA, SoC, Microcontrollers, Chaotic encryption, Image encryption, Image enhancement, Image processing, Chaotic oscillators and Applied Cryptography.

Enrique Efren García-Guerrero studied physics engineering at the University Autonomous Metropolitana, Mexico, and received the PhD and M.Sc. degree in optical physics from the Scientic Research and Advanced Studies Center of Ensenada (CICESE) Mexico. He has been with the Facultad de Ingeniería, Arquitectura y Diseño of the Universidad Autónoma de Baja California (UABC-FIAD) Mexico since 2004. His current research interest includes Image enhancement, embedded systems, chaotic cryptography, artificial intelligence, machine-learning, deep-learning, neural networks, digital image processing and optical systems.

Esteban Tlelo Cuautle於1993年從墨西哥普埃布拉理工學院（ITP）獲得學士學位。他隨後於1995年和2000年分別從墨西哥天文、光學和電子研究所（INAOE）獲得碩士和博士學位。在1995年至2000年期間，他在ITP的電子工程系任職。2001年，他被任命為INAOE的教授研究員。他曾在美國加州大學河濱分校電機工程系（2009-2010年）、墨西哥城CINVESTAV計算機科學系（2016-2017年）和中國電子科技大學（UESTC，成都2014-2019年）訪問研究員。他撰寫了5本書，編輯了12本書，並在書籍章節、國際期刊和會議上發表了300多篇作品。他是墨西哥國家研究人員系統（SNI-CONACyT-México）的成員。他的研究興趣包括集成電路設計、元啟發式優化、分數階混沌系統、人工智能、物聯網安全以及類比/射頻和混合信號設計自動化工具。

Jose Martinez-Carranza是墨西哥天文、光學和電子研究所（INAOE）計算機科學系的全職首席研究員B（相當於副教授）。2015年，他獲得了英國牛頓基金和皇家學會頒發的牛頓高級研究員獎。目前，他在英國布里斯托大學計算機科學系擔任名譽高級研究員。他領導的研究團隊在國際比賽中獲得了第一名，例如2017年IEEE IROS自主無人機競賽和2021年OpenCV AI競賽區域獎。他還擔任了2021年國際微型飛行器會議（IMAV 2021）的總主席。2022年，他加入了《無人系統》期刊的編輯委員會。他的研究重點是基於視覺的機器人方法，應用於自主和智能無人機。

Everardo Inzunza-Gonzalez於2013年從墨西哥巴哈加利福尼亞自治大學（UABC）獲得電氣科學博士學位，並於2001年從恩塞納達科學研究和高等研究中心（CICESE）獲得電子和電信學碩士學位，以及1999年從庫利亞坎技術學院獲得電子工程學士學位。他目前是墨西哥巴哈加利福尼亞自治大學（UABC-FIAD）電子工程的全職教授和研究員。他目前是幾個知名期刊的審稿人。他的研究興趣包括物聯網、網絡安全、數據科學、人工智能、機器學習和深度學習、無線通信、圖像處理、無線感測網絡、模式識別、可穿戴設備、嵌入式系統、FPGA、SoC、微控制器、混沌加密、圖像加密、圖像增強、圖像處理、混沌振盪器和應用密碼學。

Enrique Efren García-Guerrero在墨西哥自治大都會大學學習物理工程，並從恩塞納達科學研究和高等研究中心（CICESE）獲得光學物理博士和碩士學位。自2004年以來，他一直在墨西哥巴哈加利福尼亞自治大學（UABC-FIAD）工程、建築和設計學院任職。他目前的研究興趣包括圖像增強、嵌入式系統、混沌密碼學、人工智能、機器學習、深度學習、神經網絡、數字圖像處理和光學系統。