Convergence of deep machine learning and parallel computing environment for bio‐engineering applications-Reference-Cited by-同舟云学术

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Convergence of deep machine learning and parallel computing environment for bio‐engineering applications

Published:2019-07-09 Issue:1 Volume:32 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Sangaiah Arun Kumar¹^ORCID,Pham Hoang²,Qiu Tie³,Muhammad Khan⁴

Affiliation:

1. School of Computing Science and EngineeringVellore Institute of Technology Vellore Tamil Nadu India

2. Department of Industrial and Systems EngineeringThe State University of New Jersey New Brunswick New Jersey

3. School of Computer Science and TechnologyTianjin University Tianjin China

4. Department of SoftwareSejong University Seoul South Korea

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5424

Reference19 articles.

1. Optimal feature level fusion based ANFIS classifier for brain MRI image classification;Shankar K;Concurrency Computat Pract Exper,2018

2. Fuzzy clustering recognition algorithm of medical image with multi‐resolution feature

3. Multi‐feature data mining for CT image recognition

4. Research of animals image semantic segmentation based on deep learning

5. A novel deep learning method for extracting unspecific biomedical relation

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1. Performance Optimization Across the Edge-Cloud Continuum: A Multi-agent Rollout Approach for Cloud-Native Application Workload Placement;SN Computer Science;2024-03-13

2. Occlusion gesture recognition based on improved SSD;Concurrency and Computation: Practice and Experience;2020-10-19

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