CENet 2020 Workshop: The 10th International Conference on Computer Engineering and Network Workshop Xi'an, China, October 16-18, 2020 |
Conference website | http://www.tocenet.org/conference/workshop/ |
Submission link | https://easychair.org/conferences/?conf=cenet2020workshop |
Submission deadline | June 5, 2020 |
Workshop on the Applications and Techniques of Machine Learning, Deep Learning and Optimization
In conjunction with
The 10th International Conference on Computer Engineering and Networks (CENet 2020)
In recent years, machine learning techniques (e.g. support vector machine (SVM), decision tree, random forest, etc.) and deep learning techniques (e.g. convolutional neural network (CNN), recurrent neural network (RNN), long-short term memory (LSTM), etc.) have been popularly applied into image recognition and time-series inferences for intelligent transportation systems (ITS). For instance, advanced driver assistance systems and autonomous cars have been developed based on machine learning and deep learning techniques to perform forward collision warning, blind spot monitoring, lane departure warning systems, traffic sign recognition, traffic safety, infrastructure management and congestion, and so on. Furthermore, several optimization techniques (e.g. gradient descent algorithm, Adam optimization algorithm, particle swarm optimization algorithm, etc.) have been proposed to support deep learning algorithms in finding faster solutions. For example, the gradient descent method is a popular optimization technique to quickly seek the optimized weight sets and filters of CNN for image recognition. The aim of this workshop is to focus on both original research and review articles on various disciplines of applications, particularly machine learning, deep learning, and optimization techniques for agricultural sciences, biology and biochemistry, chemistry, clinical medicine, economics and business, engineering, environment and ecology, geosciences, immunology, materials sciences, microbiology, molecular biology and genetics, neurosciences and behavior, pharmacology and toxicology, physics, plant and animal sciences, psychiatry and psychology, social sciences, and space sciences.
Submission Guidelines
All papers need to be submitted electronically through the conference website (https://easychair.org/my/conference?conf=cenet2020workshop) with PDF format. All CENet2020 papers will be published by Springer book: Advances in Intelligent Systems and Computing (ISSN:2194-5357), which will be indexed by EI and Scopus,etc.
Format and Template
All submissions must be in well written English, language proof-reading is encouraged. Authors can refer to the following guidelines to prepare their papers.
The CENet2020 template (Springer)
Important Dates
- Submission Deadline: June 05, 2020
- Acceptance Notification: June 12, 2020
- Registration deadline: June 30, 2020
- Conference Date: October 16-18, 2020
List of Topics
- Machine learning
- Deep learning
- Optimization techniques
Chairs
- Prof. Cheng Shi, Xi'an University of Technology
- Prof. Chi-Hua Chen, Fuzhou University
- Prof. Genggeng Liu, Fuzhou University
Contact
Prof. Chi-Hua Chen, Email: chihua0826@gmail.com