Deep Learning Applications

· ·
· Springer Nature
eBook
178
페이지
검증되지 않은 평점과 리뷰입니다.  자세히 알아보기

eBook 정보

This book presents a compilation of selected papers from the 17th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2018), focusing on use of deep learning technology in application like game playing, medical applications, video analytics, regression/classification, object detection/recognition and robotic control in industrial environments. It highlights novel ways of using deep neural networks to solve real-world problems, and also offers insights into deep learning architectures and algorithms, making it an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers.

저자 정보

Prof. M. Arif Wani completed his M.Tech. in Computer Technology at the Indian Institute of Technology, Delhi, and his Ph.D. in Computer Vision at Cardiff University, UK. Currently, he is a Professor at the University of Kashmir, having previously served as a Professor at California State University Bakersfield. His main research interests are in gene expression datasets, face recognition techniques/algorithms, artificial neural networks, and deep architectures. He has published many papers in reputed journals and conferences in these areas. He was honored with the International Technology Institute Award in 2002 by the International Technology Institute, California, USA. He is a member of many academic and professional bodies, e.g., the Indian Society for Technical Education, Computer Society of India, IEEE USA, and Optical Society of America.

Dr. Mehmed Kantardzic received his Ph.D. in Computer Science in 1980, M.S. in Computer Science in 1976, and B.S. in Electrical Engineering in 1972, all from the University of Sarajevo, Bosnia, and Herzegovina. He served as an Assistant, and Associate Professor at the University of Sarajevo, and later as Associate and since 2004 as Full Professor at the University of Louisville. Currently, he is the Director of the Data Mining Lab as well as the Director of CECS Graduate Studies at the CECS Department. His research focuses on data mining & knowledge discovery, machine learning, soft computing, click fraud detection and prevention, concept drift in streaming data, and distributed intelligent systems. Dr. Kantardzic is the author of six books including the textbook: “Data Mining: Concepts, Models, Methods, and Algorithms” (John Wiley, second edition, 2011) which is accepted for data mining courses at more than hundred universities in USA and abroad. He is the author of over 40 peer-reviewed journal publications, 20 book chapters, and over 200 reviewed articles in the proceedings of international conferences. His recent research projects are supported by NSF, KSTC, US Treasury Department, U.S. Army, and NASA. Dr. Kantardzic was selected as Fulbright Specialist in Information Technology in 2012. Dr. Kantardzic has served on the Editorial Boards for several international journals, and he is currently an Associate Editor for WIREs Data Mining and Knowledge Discovery Journal.

Prof. Moamar Sayed-Mouchaweh received his Ph.D. from the University of Reims, France. He was working as Associated Professor in Computer Science, Control, and Signal Processing at the University of Reims, France, in the Research Centre in Sciences and Technology of the Information and the Communication. In December 2008, he obtained the Habilitation to Direct Research (HDR) in Computer science, Control, and Signal Processing. Since September 2011, he is working as a Full Professor in the High National Engineering School of Mines Telecom Lille Douai (France), Department of Computer Science and Automatic Control. He edited and wrote several Springer books and served as a Guest Editor of several special issues of international journals. He also served as IPC Chair and Conference Chair of several international workshops and conferences. He is serving as a member of the Editorial Board of several international journals.

이 eBook 평가

의견을 알려주세요.

읽기 정보

스마트폰 및 태블릿
AndroidiPad/iPhoneGoogle Play 북 앱을 설치하세요. 계정과 자동으로 동기화되어 어디서나 온라인 또는 오프라인으로 책을 읽을 수 있습니다.
노트북 및 컴퓨터
컴퓨터의 웹브라우저를 사용하여 Google Play에서 구매한 오디오북을 들을 수 있습니다.
eReader 및 기타 기기
Kobo eReader 등의 eBook 리더기에서 읽으려면 파일을 다운로드하여 기기로 전송해야 합니다. 지원되는 eBook 리더기로 파일을 전송하려면 고객센터에서 자세한 안내를 따르세요.