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A. Kandasamy
ORCID
Publication Activity (10 Years)
Years Active: 2010-2024
Publications (10 Years): 13
Top Topics
Text Extraction
Wavelet Analysis
Color Image Retrieval
Reinforcement Learning
Top Venues
J. Ambient Intell. Humaniz. Comput.
Hum. centric Comput. Inf. Sci.
Comput. Electr. Eng.
TENCON
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Publications
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K. Chandrasekaran
,
A. Kandasamy
,
Venkatesan M
,
Prabhavathi P
,
M. Gokuldhev
,
Aishwarya C
Ontology for Contextual Fake News Assessment Based on Text and Images.
PDP
(2024)
John Paul Martin
,
Christina Terese Joseph
,
K. Chandrasekaran
,
A. Kandasamy
Machine Learning Powered Autoscaling for Blockchain-Based Fog Environments.
BLOCKCHAIN
(2021)
S. R. Shishira
,
A. Kandasamy
A Novel Feature Extraction Model for Large-Scale Workload Prediction in Cloud Environment.
SN Comput. Sci.
2 (5) (2021)
S. R. Shishira
,
A. Kandasamy
BeeM-NN: An efficient workload optimization using Bee Mutation Neural Network in federated cloud environment.
J. Ambient Intell. Humaniz. Comput.
12 (2) (2021)
John Paul Martin
,
A. Kandasamy
,
K. Chandrasekaran
CREW: Cost and Reliability aware Eagle-Whale optimiser for service placement in Fog.
Softw. Pract. Exp.
50 (12) (2020)
John Paul Martin
,
A. Kandasamy
,
K. Chandrasekaran
Mobility aware autonomic approach for the migration of application modules in fog computing environment.
J. Ambient Intell. Humaniz. Comput.
11 (11) (2020)
Christina Terese Joseph
,
John Paul Martin
,
K. Chandra Sekaran
,
A. Kandasamy
Fuzzy Reinforcement Learning based Microservice Allocation in Cloud Computing Environments.
TENCON
(2019)
John Paul Martin
,
A. Kandasamy
,
K. Chandrasekaran
,
Christina Terese Joseph
Elucidating the challenges for the praxis of fog computing: An aspect-based study.
Int. J. Commun. Syst.
32 (7) (2019)
A. Kandasamy
,
M. Sundaram
Multi-layer multi-level color distribution - User feedback model with wavelet analysis for color image retrieval.
Comput. Electr. Eng.
67 (2018)
John Paul Martin
,
A. Kandasamy
,
K. Chandrasekaran
Exploring the support for high performance applications in the container runtime environment.
Hum. centric Comput. Inf. Sci.
8 (2018)
S. R. Shishira
,
A. Kandasamy
,
K. Chandrasekaran
Workload Characterization: Survey of Current Approaches and Research Challenges.
ICCCT
(2017)
S. R. Shishira
,
A. Kandasamy
,
K. Chandra Sekaran
Survey on meta heuristic optimization techniques in cloud computing.
ICACCI
(2016)
Muni Venkateswarlu K.
,
A. Kandasamy
,
K. Chandrasekaran
An Energy-Efficient Hybrid Clustering Mechanism for Wireless Sensor Network.
Unmanned Syst.
3 (2) (2015)
Muni Venkateswarlu K.
,
A. Kandasamy
,
K. Chandra Sekaran
Energy-efficient edge-based network partitioning scheme for wireless sensor networks.
ICACCI
(2013)
Muni Venkateswarlu K.
,
K. Chandra Sekaran
,
A. Kandasamy
Node - Link Disjoint Multipath Routing Protocols for Wireless Sensor Networks - A Survey and Conceptual Modeling.
ADCONS
(2011)
Rio G. L. D'Souza
,
K. Chandra Sekaran
,
A. Kandasamy
Inference of Gene Networks from Microarray Data through a Phenomic Approach.
ICT
(2010)
Rio G. L. D'Souza
,
K. Chandra Sekaran
,
A. Kandasamy
A Phenomic Algorithm for Inference of Gene Networks Using S-Systems and Memetic Search.
BIONETICS
(2010)
Rio G. L. D'Souza
,
K. Chandra Sekaran
,
A. Kandasamy
A Multiobjective Phenomic Algorithm for Inference of Gene Networks.
BIONETICS
(2010)
Rio G. L. D'Souza
,
K. Chandra Sekaran
,
A. Kandasamy
Improved NSGA-II Based on a Novel Ranking Scheme
CoRR
(2010)
Rio G. L. D'Souza
,
K. Chandra Sekaran
,
A. Kandasamy
A Phenomic Approach to Genetic Algorithms for Reconstruction of Gene Networks.
IC3 (1)
(2010)