HIGHLIGHTS
- who: Youcef Djenouri from the Brandon University, Brandon, Canada have published the paper: An edge-driven multi-agent optimization model for infectious disease detection, in the Journal: (JOURNAL)
- what: The authors propose new deep learning architectures such as entity embedding networks long-short term memory and convolution neural networks for accurately learning heterogeneous medical data in identifying disease infection. The overall goal of the deep learning solutions, including distributed ones, is to identify disease infections to guide the medical staff in reaching fair and reasonable decisions in diagnosing different diseases. HI2D (Hybrid Intelligence Infectious Disease . . .
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