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ABSTRACT:

Advances in computational geometric modeling, imaging, and simulation let researchers build and test models of increasing complexity, generating unprecedented amounts of data. As recent research in biomedical applications illustrates, visualization will be critical in making this vast amount of data usable; it's also fundamental to understanding models of complex phenomena.


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PROJECT TITLE : T-PAIR Temporal Node-pair Embedding for Automatic Biomedical Hypothesis Generation ABSTRACT: In this paper, we investigate a problem known as automatic hypothesis generation (HG). HG refers to the process of discovering
PROJECT TITLE : T-PAIR: Temporal Node-Pair Embedding for Automatic Biomedical Hypothesis Generation ABSTRACT: In this paper, we investigate a problem known as automatic hypothesis generation (HG). HG refers to the process of discovering
PROJECT TITLE : Biomedical Relation Extraction With Knowledge Graph-Based Recommendations ABSTRACT: Biomedical Relation Extraction (RE) systems search for and categorize relations between biomedical entities in order to improve
PROJECT TITLE : A Blockchain Footprint for Authentication of IoT-Enabled Smart Devices in Smart Cities: State-of-the-Art Advancements, Challenges and Future Research Directions ABSTRACT: The mechanisms that are based on distributed
PROJECT TITLE : An Empirical Review of Deep Learning Frameworks for Change Detection Model Design, Experimental Frameworks, Challenges and Research Needs ABSTRACT: One of the fundamental objectives of computer vision and video

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