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BIOCOM 2018: The World Thematic Conference - Biomedical Engineering and Computational Intelligence

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BIOCOM
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投稿締切日:
2018-08-25 Extended
通知日:
2018-09-07
開催日:
2018-10-30
開催地:
London, UK
閲覧: 12116   フォロー: 0   参加: 0

論文募集

BIOCOM 2018 (The World Thematic Conference - Biomedical Engineering and Computational Intelligence) is an academic conference held in London, UK on 2018-10-30. The paper submission deadline is 2018-08-25 (extended). Acceptance notifications are sent on 2018-09-07.

Conference Themes - Track 1 [ Biomedical Engineering Related Themes ] Biomedical Engineering Biomedical imaging, image processing & visualization Bioelectrical and neural engineering Biomechanics and bio-transport Methods and biology effects of NMR/CT/ECG technology Biomedical devices, sensors, and artificial organs BIOMECHANICS Advances in Biomechanical Testing of Medical Devices Biofluid Mechanics Biomechanics in Cell and Tissue Engineering (*Tissue Engineering) Biomechanics of Biomaterials (*Biomaterials) Biomechanics of Rehabilitation/Injury Bioinformatics and Computational Biology Protein structure, function and sequence analysis Protein interactions, docking and function Computational proteomics DNA and RNA structure function and sequence analysis Gene regulation, expression, identification and network BIOMEDICAL IMAGING AND INSTRUMENTATION Architecture and Design of Imaging Systems Approaches in Cellular/Molecular Imaging and Tracking Advances in Multimodal and Multiscale Imaging From Diagnostics to Theranostics and Image-Guided Therapy Image Processing and Analysis, Modeling, Data Science and Informatics conference Themes - Track 2 [ Computational Intelligence Related Themes ] Computational Intelligence in Information Processing Adaptive Dynamic Programming and Reinforcement Learning CI Applications in Smart Grid CI in Big Data CI for Communication Systems CI in Cyber Security Applications of Computational Intelligence Deep Learning for Computational Applications Evolving and Autonomous Learning Systems CI in Feature Analysis, Selection, and Learning in Image and Pattern Recognition Foundations of Computational Intelligence Intelligent Agents Cognitive and Hybrid Computational Systems Soft Computing and Intelligent Agents Perceptual Modeling, Artificial Perception and Awareness Emulation of Cognitive Functions Human-Machine and Machine-Machine interaction Cognitive Software Systems and Applications Computational Intelligence and Neural Mechanics Single-neuron Modeling Computational Neuroscience Higher Level Artificial Neural Network Based Intelligent Systems Adaptive Architectures and Mechanisms Stability and Instability in Artificial Neural Networks
最終更新：Dou Sun（）

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