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This book presents a compilation of selected papers from the 17th
IEEE International Conference on Machine Learning and Applications
(IEEE ICMLA 2018), focusing on use of deep learning technology in
application like game playing, medical applications, video
analytics, regression/classification, object detection/recognition
and robotic control in industrial environments. It highlights novel
ways of using deep neural networks to solve real-world problems,
and also offers insights into deep learning architectures and
algorithms, making it an essential reference guide for academic
researchers, professionals, software engineers in industry, and
innovative product developers.
This book constitutes selected and revised papers from the First
Mediterranean Forum - Data Science Conference, MeFDATA 2020, held
in Sarajevo, Bosnia and Herzegovina, in October 2020. The 11 papers
presented were carefully reviewed and selected from the 26
qualified submissions. The papers are organized in the topical
sections on human behaviour and pandemic; applications in medicine;
industrial applications; natural language processing.
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