Sanguthevar Rajasekaran
Department Head & Distinguished Professor/Computing
Storrs Mansfield
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Scholarly Contributions
239 Scholarly Contributions
"A Novel Algorithm for Technical Articles Classification Based on Gene Selection"
Research Type: Conference Proceedings
International
"AC-CS: An Immune-Inspired Associative Classification Algorithm",
2024
Research Type: Conference Proceedings
International
"An Adaptive Surface Sink Redeployment Strategy for Underwater Sensor Networks",
Research Type: Conference Proceedings
International
"Fast GPU Algorithms for Implementing The Red-Black Gauss-Seidel Method for Solving Partial Differential Equations"
Research Type: Conference Proceedings
"Fast GPU algorithms for endmember extraction from hyperspectral images"
2012
Research Type: Poster/Presentation
"Integrating Clonal Selection and Deterministic Sampling for Efficient Associative Classification",
Research Type: Conference Proceedings
International
"ML-DS: A Novel Deterministic Sampling Algorithm for Association Rules Mining"
Research Type: Conference Proceedings
International
"PADP: Prediction Assisted Dynamic Surface Gateway Placement For Mobile Underwater Networks”
Research Type: Conference Proceedings
International
"Real-Time Decision Making for Underwater Big Data Applications Using the Apriori Algorithm."
2019
Research Type: Poster/Presentation
2013 IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences (ICCABS 2013) Proceedings
2013
Research Type: Other Scholarly Work
2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015
2015
Research Type: Other Scholarly Work
A Custom Unsupervised Approach for Pipe-Freeze Online Anomaly Detection
Research Type: Conference Proceedings
A Game Theory Approach to Identify Alternative Regulatory Frameworks for Hazardous Materials Routing.
2024
Research Type: Conference Proceedings
A Molecular Structure Matching Approach to Efficient Identification of Endogenous Mammalian Biochemical Structures
2024
Research Type: Conference Proceedings
A Novel Deterministic Sampling Technique to Speedup Clustering Algorithms
Research Type: Conference Proceedings
A Novel String Map-Based Approach for Distance Calculations with Applications to Faster Record Linkage
2024
Research Type: Conference Proceedings