International Workshop on Deep Learning/ Machine Learning on Information and Signal Processing
Deep Learning/Machine Learning on Information and Signal Processing is composed of deep learning algorithms, machine learning algorithms, signal processing, data mining, big data, etc. Using deep learning or machine learning methods to process various kinds of signals, e.g. communication signals, sensing signals, and radar signals.
Topics of interests include, but are not limited to:
- Analog Signal Processing
- Audio and acoustic signal processing
- Bio imaging and signal processing
- Deep learning algorithm
- Design and implementation of signal processing systems
- Digital Signal Processing
- Image, video and multidimensional signal processing
- Machine learning for signal processing
- Multimedia signal processing
- Neural Networks and Systems
- Signal processing for communications and networking
- Signal processing theory and methods
- Location and navigation
Publication
Workshop Papers will be published in a dedicated section of the AICON Conference Proceedings. All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.AICON proceedings are indexed in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).
Workshop Chair:
Dr. Zhenyu Xu, Huizhou Engineering Vocational College
Workshop Co-chairs:
Prof. Haiming Wang, Southeast University, China
Prof. Jingyuan Wang, Army engineering University of PLA, China
Prof. Shuai Han, Harbin Institute of Technology, China