Selected papers from BigComp 2019
A special issue of Sensors (ISSN 1424-8220).
Deadline for manuscript submissions: closed (30 April 2019) | Viewed by 13144
Special Issue Editors
Interests: data science; graph and network optimization; patent graph; bio-sensor-based phonetic system; deep learning application, etc.
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, Artificial Intelligence for Big Data Science and smart computing has drawn much attention and interest in many disciplines including computer science, information technology, and social sciences. Scientists regularly encounter limitations due to large data sets in many areas, including meteorology, genomics, connectomics, complex physics simulations, and biological and environmental research. The limitations also affect Internet search, finance, and business informatics. Data sets grow in size, in part because they are increasingly being gathered by ubiquitous information-sensing mobile devices, aerial sensory technologies, software logs, cameras, microphones, radio-frequency identification readers, and wireless sensor networks. We invite authors to submit research papers on any aspect of big data and smart computing. Manuscripts are solicited to address a wide range of topics in Artificial Intelligence and Big Data Science, and are not limited to the following:
- Artificial Intelligence based on Cluster Computing
- Machine Learning and Artificial Intelligence with Big Data Science
- Generative Adversarial Networks with Big Data Science
- Graph mining and connected opinion mining for Artificial Intelligence and Big Data Science
- Techniques and models for Artificial Intelligence and Big Data Science
- Cloud and grid computing for Artificial Intelligence and Big Data Science
- Security and privacy for Artificial Intelligence and Big Data Science
- Smart devices and hardware for Artificial Intelligence and Big Data Science
- Bioinformatics data management for Artificial Intelligence and Big Data Science
- Parallel and distributed computing for Artificial Intelligence and Big Data Science
- Hardware/software infrastructure for Artificial Intelligence and Big Data Science
- Security and privacy for Artificial Intelligence and Big Data Science
- Image and multimedia data management for Artificial Intelligence and Big Data Science
- Cloud and grid computing for Artificial Intelligence and Big Data Science
- Mobile communication and networks for Artificial Intelligence and Big Data Science
- Smart location-based services for Artificial Intelligence and Big Data Science
- Mobile software and data science for Artificial Intelligence and Big Data Science
Prof. Wookey Lee
Prof. Hiroyuki Kitagawa
Guest Editors
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