Deep Learning for Various Sources in Smart Applications

We are organizing a special session on "Deep Learning for Various Sources in Smart Applications", DLVSMA, for TAAI2023, held in National Yunlin University of Science and Technology, Yunlin County, in Taiwan on December 1-2, 2023. Deep Learning combines high-performance computing leading to unusual solutions for multi-model data analysis problems. Deep Learning-empowered systems can nowadays achieve performance levels in various data analysis tasks comparable to, or even exceeding, those of human beings. These advancements have the potential to open new high-impact applications in different environments. In this special issue, the authors will fully exploit Deep Learning solutions in smart applications through theoretical, methodological, and experimental contributions.

Session Information

Session Title :

Deep Learning for Various Sources in Smart Applications

Session Organizer :

Prof. Rung-Ching Chen / Prof. Alex Long-Sheng Chen

Institution :

Chaoyang University of Technology

E-mail : /

Topics / Areas

We invite academic researchers and industry professionals from a broad range of disciplines to submit to this special issue. Topics of interest include, but are not limited to:
  1. Lightweight Deep Learning models for visual and audio data analysis and applications
  2. Deep Learning models for efficient multimodal data analysis and fusion
  3. Sensor data analysis based on Deep Learning
  4. Efficient Deep Learning methodologies for the Internet of Things
  5. Deep Learning for applications in smart homes, smart lighting
  6. Deep Learning for smart city applications
  7. Deep Learning for intelligent transportation systems
  8. Deep learning for natural language processing and applications
  9. Deep learning for medical sciences applications
  10. Deep learning for Virtual Reality applications
  11. Deep learning for Metaverse applications
  12. Deep learning and AI methods for optimum technological applications
  13. Deep Learning for social sciences applications
  14. Others smart applications related to the topics

Important Information

Accepted papers will be submitted for inclusion into the Communications in Computer and Information Science (CCIS) by Springer. CCIS is indexed in DBLP, Google Scholar, EI-Compendex, and Scopus. Please note that papers must submit via the submission system website and meet the format of TAAI2023

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