Impact Score 5.45
The past decades witnessed a dramatic rise in the platforms, tools and applications abased neural computing and artificial intelligence. Recent technologies, e.g., Internet of things (IoTs), communication infrastructure, cloud computing, and smart things, have brought new developments on neural computing and its applications, such as, healthcare, legal, manufacturing, automobile, and agriculture. One important breakthrough technique is known as deep learning, which includes a large family of neural computing methods that employ deep architectures composed of multiple non-linear transformations to model high-level abstractions of raw data. Recent studies have shown that deep neural networks significantly improve the performance on various learning tasks, such as object detection, image classification, segmentation, et al. These accomplishments are attributed to the ability of neural computing to understand the rich midlevel image representations. Furthermore, neural computing has also been utilized in other research or industrial areas such as natural linguistic processing, traffic surveillance, automatic driving systems, energy-saving systems and smart city et al. As a consequence, many advanced real-world applications have increasingly close relations with neural computing technologies.
This special issue aims to look for cutting-edge techniques for new trends of advanced applications in neural computing. For the same purpose, we still organize the 2020 International Conference on Neural Computing for Advanced Applications (NCAA 2020) that will be held in Shenzhen, China. The authors of outstanding papers selected from the NCAA 2020 will be invited to submit their extended technical papers into the proposed special issue, for possible publication after ordinary review process.
Topics of interest include, but are not limited to:
Mingbo Zhao (Lead Guest Editor), Donghua University, China, [email protected]
Zhou Wu, Chongqing University, China, [email protected]
Zhao Zhang, Hefei University of Technology, China, [email protected]
Tianyong Hao, South China Normal University, China, [email protected]
Weizhi Meng, Technical University of Denmark, Denmark, [email protected]
Prof. Reza Malekian, Malmö University, Sweden, [email protected]
Proposed Submission Deadline: 30th September 2020
Peer Review Process
All the papers will go through a double blind review process and will be reviewed by at least two reviewers. A thorough check will be done and the guest editors will check any significant similarity between the manuscript under consideration and any published paper or submitted manuscripts of which they are aware. In such case, the article will be directly rejected without proceeding further. Guest editors will make all reasonable effort to receive the reviewer’s comments and recommendation on time.
The submitted papers must provide original research that has not been published nor currently under review by other venues. Previously published conference papers should be clearly identified by the authors at the submission stage and an explanation should be provided about how such papers have been extended. At least 30% of new content is expected.
Paper submissions for the special issue should follow the submission format and guidelines (https://www.springer.com/journal/521/submission-guidelines). Each manuscript should not exceed 16 pages in length (inclusive of figures and tables).
Authors should select ‘SI: New Trends of Neural Computing for Advanced Applications' during the submission step 'Additional Information'.