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ORCIDK. Chandrasekaran 0001
Kandasamy Chandrasekaran
Person information
- affiliation: National Institute of Technology Karnataka, Surathkal, India
Other persons with the same name
- K. Chandrasekaran — disambiguation page
- K. Chandrasekaran 0002 — National Institute of Technology Tiruchirappalli, Department of Electrical and Electronics Engineering, India
- K. Chandrasekaran 0003 — College of Computing, Georgia Tech, Atlanta, GA, USA
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2020 – today
- 2024
[j30]Supriya Naik, Baidyanath Bag, Kandasamy Chandrasekaran:
Modeling and Study of Different Magnet Topologies in Rotor of Low Rating IPMSMs. Period. Polytech. Electr. Eng. Comput. Sci. 68(4): 367-380 (2024)- [j29]Bhavesh Varma, Naik Nitesh Navnath, K. Chandrasekaran, M. Venkatesan, Jeny Rajan:
Forecasting Land-Use and Land-Cover Change Using Hybrid CNN-LSTM Model. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [c55]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: 191-198 - 2023
- [j28]Supriya Naik, Baidyanath Bag, Kandasamy Chandrasekaran:
A 2D and 3D Analysis on Electromagnetic Parameters of Spoke-shape Interior Permanent Magnet Synchronous Motor Using FEM. Period. Polytech. Electr. Eng. Comput. Sci. 67(2): 181-193 (2023) - [j27]Christina Terese Joseph
, John Paul Martin, K. Chandrasekaran, S. P. Raja:
Fog Assisted Personalized Dynamic Pricing for Smartgrid. IEEE Trans. Comput. Soc. Syst. 10(6): 3569-3575 (2023) - 2022
- [j26]S. Raghavan, K. Chandrasekaran:
ENPS-IPROMETHEE: Enzymatic Numerical P System-based Improved Preference Ranking Organization Method for Enrichment Evaluation. J. Membr. Comput. 4(2): 107-119 (2022) - [j25]Naik Nitesh Navnath, Kandasamy Chandrasekaran, Andrzej Stateczny, Venkatesan Meenakshi Sundaram, Prabhavathy Panneer:
Spatiotemporal Assessment of Satellite Image Time Series for Land Cover Classification Using Deep Learning Techniques: A Case Study of Reunion Island, France. Remote. Sens. 14(20): 5232 (2022) - [c54]Ramya Shree, Suraj B. Madagaonkar, Mansi Singh, M. T. Aakash Chandra, Rathnamma V. Mydukuri, V. Venkata Ramana, K. Chandrasekaran:
A Study on Depth Estimation from Single Image Using Neural Networks. ICCCNT 2022: 1-7 - [c53]Kowndinya Boyalakuntla, Marimuthu Chinnakali, Sridhar Chimalakonda, K. Chandrasekaran:
eGEN: an energy-saving modeling language and code generator for location-sensing of mobile apps. ESEC/SIGSOFT FSE 2022: 1697-1700 - [i4]Kowndinya Boyalakuntla, C. Marimuthu, Sridhar Chimalakonda, K. Chandrasekaran:
eGEN: An Energy-saving Modeling Language and Code Generator for Location-sensing of Mobile Apps. CoRR abs/2204.03858 (2022) - 2021
- [j24]Christina Terese Joseph, Kandasamy Chandrasekaran:
Nature-inspired resource management and dynamic rescheduling of microservices in Cloud datacenters. Concurr. Comput. Pract. Exp. 33(17) (2021) - [j23]C. Marimuthu, K. Chandrasekaran, Sridhar Chimalakonda:
Energy Diagnosis of Android Applications: A Thematic Taxonomy and Survey. ACM Comput. Surv. 53(6): 117:1-117:36 (2021) - [j22]P. Sarwesh, K. Chandrasekaran, Thamizharasan S.:
Network Blueprint for Maximizing the Lifetime of Smart Devices in Low Power IoT Networks. Int. J. Grid High Perform. Comput. 13(2): 21-38 (2021) - [j21]Parth Sahu, S. Raghavan, K. Chandrasekaran:
Ensemble deep neural network based quality of service prediction for cloud service recommendation. Neurocomputing 465: 476-489 (2021) - [j20]S. Raghavan, K. Chandrasekaran:
Membrane-based models for service selection in cloud. Inf. Sci. 558: 103-123 (2021) - [j19]Marimuthu Chinnakali, Sridhar Chimalakonda, K. Chandrasekaran:
How do open source app developers perceive API changes related to Android battery optimization? An empirical study. Softw. Pract. Exp. 51(4): 691-710 (2021) - [c52]Vignesh Srinivasan, K. Chandrasekaran:
Data Aggregation Of Tweets And Topic Modelling Based On The Twitter Dataset. BDET 2021: 15-20 - [c51]John Paul Martin, Christina Terese Joseph, K. Chandrasekaran, A. Kandasamy:
Machine Learning Powered Autoscaling for Blockchain-Based Fog Environments. BLOCKCHAIN 2021: 281-291 - [c50]Soumyajit Bhattacharyya, K. Chandrasekaran:
Towards a Secure Electronic Health Record System Using Blockchain Technology. ICCCNT 2021: 1-8 - [c49]Paras Bhagtya, S. Raghavan, K. Chandrasekaran, Usha D.:
Workload classification in multi-vm cloud environment using deep neural network model. SAC 2021: 79-82 - 2020
- [j18]S. Raghavan, Yashas Gangadhar, Varun Pattar, K. Chandrasekaran:
Multi-ENPS simulator support tool with automatic file inter-conversion and multi-membrane execution. Biosyst. 189: 104067 (2020) - [j17]S. Raghavan, Shanthanu S. Rai, Rohit M. P, K. Chandrasekaran:
GPUPeP: Parallel Enzymatic Numerical P System simulator with a Python-based interface. Biosyst. 196: 104186 (2020) - [j16]Marimuthu Chinnakali, Sanjana Palisetti, K. Chandrasekaran:
Organising the knowledge from stack overflow about location-sensing of Android applications. IET Softw. 14(3): 221-233 (2020) - [j15]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): 5259-5278 (2020) - [j14]Christina Terese Joseph, K. Chandrasekaran:
IntMA: Dynamic Interaction-aware resource allocation for containerized microservices in cloud environments. J. Syst. Archit. 111: 101785 (2020) - [j13]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): 2337-2360 (2020) - [c48]P. Y. Abhinav, Avakash Bhat, Christina Terese Joseph, K. Chandrasekaran:
Concurrency Analysis of Go and Java. ICCCS 2020: 1-6
2010 – 2019
- 2019
- [j12]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) - [j11]Christina Terese Joseph, K. Chandrasekaran:
Straddling the crevasse: A review of microservice software architecture foundations and recent advancements. Softw. Pract. Exp. 49(10): 1448-1484 (2019) - [c47]K. S. Sagar Bharadwaj, Samvid Dharanikota, Adarsh Honawad, K. Chandrasekaran:
CollabChain: Blockchain-Backed Trustless Web-Based Volunteer Computing Platform. CISIM 2019: 509-522 - [c46]Amit V. Nene, Christina Terese Joseph, K. Chandrasekaran:
Construing Microservice Architectures: State-of-the-Art Algorithms and Research Issues. KMO 2019: 364-376 - [c45]C. Marimuthu, Sanjana Palisetti, K. Chandrasekaran:
An Empirical Study on Managing Energy and Accuracy Requirements of Location Based Android Applications (S). SEKE 2019: 553-722 - [c44]Chandan Naik, M. Siddhartha, John Paul Martin, K. Chandrasekaran:
Location Privacy Using Data Obfuscation in Fog Computing. TENCON 2019: 1286-1291 - [c43]Christina Terese Joseph, John Paul Martin, K. Chandrasekaran, A. Kandasamy:
Fuzzy Reinforcement Learning based Microservice Allocation in Cloud Computing Environments. TENCON 2019: 1559-1563 - 2018
- [j10]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: 1 (2018) - [j9]P. Sarwesh, N. S. V. Shet, K. Chandrasekaran:
ETRT - Cross layer model for optimizing transmission range of nodes in low power wireless networks - An Internet of Things Perspective. Phys. Commun. 29: 307-318 (2018) - [c42]Natasha Yogananda Jeppu, K. Chandrasekaran:
Extending Denoising AutoEncoders for Feature Recognition. ICACCI 2018: 856-861 - [c41]Akarsh Murali, Nibir Nirjas Das, Shiv Shankar Sukumaran, K. Chandrasekaran, Christina Terese Joseph, John Paul Martin:
Machine Learning Approaches for Resource Allocation in the Cloud: Critical Reflections. ICACCI 2018: 2073-2079 - [c40]Manoj V. Thomas, K. Chandrasekaran, Gopal Mugeraya:
Agent-Based Approach for the Management of Dynamic QoS Violations in the Inter-Cloud Environments. KMO 2018: 477-488 - [c39]Gautam Ramakrishnan, V. Saicharan, K. Chandrasekaran, Rathnamma V. Mydukuri, V. Venkata Ramana:
Collaborative Filtering for Book Recommendation System. SocProS (2) 2018: 325-338 - [c38]K. Rithesh, Adwaith V. Gautham, K. Chandrasekaran:
Network Anomaly Detection Using Artificial Neural Networks Optimised with PSO-DE Hybrid. SSCC 2018: 257-270 - [c37]H. L. Praveen Raj, K. Chandrasekaran:
NEAT Algorithm for Testsuite generation in Automated Software Testing. SSCI 2018: 2361-2368 - 2017
- [j8]P. Sarwesh, N. S. V. Shet, K. Chandrasekaran:
Effective Integration of Reliable Routing Mechanism and Energy Efficient Node Placement Technique for Low Power IoT Networks. Int. J. Grid High Perform. Comput. 9(4): 16-35 (2017) - [j7]Manoj V. Thomas, K. Chandrasekaran:
Dynamic partner selection in Cloud Federation for ensuring the quality of service for cloud consumers. Int. J. Model. Simul. Sci. Comput. 8(3): 1750036:1-1750036:24 (2017) - [c36]Jayashree Mohan, Angad Vittal, K. Chandrasekaran, Bhaskar Krishnamachari:
A reinforcement learning approach to optimize downloads over mobile networks. COMSNETS 2017: 9-14 - [c35]S. R. Shishira, A. Kandasamy, K. Chandrasekaran:
Workload Characterization: Survey of Current Approaches and Research Challenges. ICCCT 2017: 151-156 - [c34]C. Marimuthu, K. Chandrasekaran:
Software Engineering Aspects of Green and Sustainable Software: A Systematic Mapping Study. ISEC 2017: 34-44 - [c33]Kandiraju Sai Ashritha, T. M. Prajwala, K. Chandrasekaran:
Activity Theory Based Approach for Requirements Analysis of Android Applications. KMO 2017: 3-15 - [c32]B. Shiva Prakash, K. V. Sanjeev, Ramesh Prakash, K. Chandrasekaran:
A Survey on Recurrent Neural Network Architectures for Sequential Learning. SocProS (2) 2017: 57-66 - [c31]C. Marimuthu, K. Chandrasekaran:
Systematic Studies in Software Product Lines: A Tertiary Study. SPLC (A) 2017: 143-152 - 2016
- [c30]S. Raghavan, K. Chandrasekaran:
Tools and Simulators for Membrane Computing-A Literature Review. BIC-TA (1) 2016: 249-277 - [c29]Y. R. Mukund, Sunil S. Nayak, K. Chandrasekaran:
Improving false alarm rate in intrusion detection systems using Hadoop. ICACCI 2016: 837-843 - [c28]S. R. Shishira, A. Kandasamy, K. Chandrasekaran:
Survey on meta heuristic optimization techniques in cloud computing. ICACCI 2016: 1434-1440 - [c27]Neenu George, K. Chandrasekaran, A. Binu:
Optimization-Aware Scheduling in Cloud Computing. ICIA 2016: 15:1-15:5 - [c26]Sreecharan Sankaranarayanan, Dayanand Ingale, Ranveer Bhambhu, K. Chandrasekaran:
Towards Sentiment Orientation Data Set Enrichment. ICTCS 2016: 69:1-69:7 - [c25]V. Thangam, K. Chandrasekaran:
Elliptic Curve Based Proxy Re-Encryption. ICTCS 2016: 121:1-121:6 - [c24]Amita Ajith Kamath, Chirag Jamadagni, K. Chandrasekaran:
VirtTorrent: BitTorrent for Inter-VM File Distribution. ICC 2016 2016: 20:1-20:7 - [c23]C. Marimuthu, K. Chandrasekaran:
Feature-Oriented Domain Analysis Framework for Energy-Aware Self-Adaptive Software. iThings/GreenCom/CPSCom/SmartData 2016: 773-776 - [c22]Ankit Tripathi, Anant Maheshwari, K. Chandrasekaran:
Computationally Efficient Fault Tolerant ANTS. KMO 2016: 8 - [c21]Y. R. Mukund, V. Naresh, Sourabh Patil, K. Chandrasekaran, V. Vijaya Kumar, R. K. Gnanamurthy:
Influence of News on Individual Confidence Bias in Stock Markets. KMO 2016: 20 - [c20]C. Karthik, Mayank Sharma, Kirti Maurya, K. Chandrasekaran:
Green intelligence for cloud data centers. RAIT 2016: 591-597 - [c19]V. Thangam, K. Chandrasekaran:
Elliptic Curve Based Secure Outsourced Computation in Multi-party Cloud Environment. SSCC 2016: 199-212 - 2015
- [j6]Prasad Teli, Manoj V. Thomas, K. Chandrasekaran:
An Efficient Approach for Cost Optimization of the Movement of Big Data. Open J. Big Data 1(1): 4-15 (2015) - [j5]Y. R. Mukund, Sunil S. Nayak, K. Chandrasekaran:
Cognitive Spam Recognition Using Hadoop and Multicast-Update. Open J. Big Data 1(1): 16-28 (2015) - [j4]Manoj V. Thomas, K. Chandrasekaran:
A Trust-Based Approach for Management of Dynamic QoS Violations in Cloud Federation Environments. Open J. Cloud Comput. 2(2): 21-43 (2015) - [j3]Pranav Thulasiram Bhat, Rohit Varkey Thankachan, K. Chandrasekaran:
Sharding distributed social databases using social network analysis. Soc. Netw. Anal. Min. 5(1): 31:1-31:11 (2015) - [j2]Muni Venkateswarlu K., A. Kandasamy, K. Chandrasekaran:
An Energy-Efficient Hybrid Clustering Mechanism for Wireless Sensor Network. Unmanned Syst. 3(2): 109-125 (2015) - [c18]Doshi Chintan Ketankumar, K. Chandrasekaran:
A stackelberg game to incentivize cooperation in BitTorrent. ICACCI 2015: 367-373 - [c17]Gargi Saha, Pranav Thulasiram Bhat, Kandasamy Chandrasekaran:
A Generic Approach to Security Evaluation For Multimedia Data. ICCCT 2015: 333-338 - [c16]Aditya Sundaram, Monel Gupta, Vinod Rathod, K. Chandrasekaran:
Remote Surveillance Robot System - A Robust Framework Using Cloud. iNIS 2015: 213-218 - [c15]Gaurav Verma, Arun Nandewal, K. Chandrasekaran:
Cluster Based Routing in NDN. ITNG 2015: 296-301 - [c14]Sachin Hosmani, H. G. Rama Bhat, K. Chandrasekaran:
Dual Stage Text Steganography Using Unicode Homoglyphs. SSCC 2015: 265-276 - [c13]Nimisha Sharath, Shivani S. Parikh, K. Chandrasekaran:
Information Risk Analysis in a Distributed MOOC Based Software System Using an Optimized Artificial Neural Network. WCI 2015: 256-261 - [c12]Shruthi Puranik, Jayashree Mohan, K. Chandrasekaran:
Smart and Secure Monitoring of Industrial Environments using IoT. WCI 2015: 644-649 - 2014
- [j1]Manoj V. Thomas, K. Chandrasekaran:
Agent-based approach for identity and access management in the inter-cloud environments. Int. J. Trust. Manag. Comput. Commun. 2(2): 125-149 (2014) - [c11]K. Chandrasekaran, Siddharth Santurkar, Abhishek Arora:
Stormgen - A Domain specific language to create ad-hoc Storm Topologies. FedCSIS 2014: 1621-1628 - [c10]Christina Terese Joseph, K. Chandrasekaran, Robin Cyriac:
A perspective study of virtual machine migration. ICACCI 2014: 1499-1503 - 2013
- [c9]Manoj V. Thomas, K. Chandrasekaran:
An Access Control Model for Cloud Computing Environments. ADCONS 2013: 226-231 - [c8]V. Spoorthi, Balaji Rajendran, K. Chandrasekaran:
Key Update Mechanism in PKI: Study and a New Approach. ADCONS 2013: 253-258 - [c7]Muni Venkateswarlu K., A. Kandasamy, K. Chandrasekaran:
Energy-efficient edge-based network partitioning scheme for wireless sensor networks. ICACCI 2013: 1017-1022 - [c6]Manoj V. Thomas, K. Chandrasekaran:
Agent-based approach for distributed access control in cloud environments. ICACCI 2013: 1628-1633 - 2011
- [c5]Muni Venkateswarlu K., K. Chandrasekaran, A. Kandasamy:
Node - Link Disjoint Multipath Routing Protocols for Wireless Sensor Networks - A Survey and Conceptual Modeling. ADCONS 2011: 405-414 - 2010
- [c4]Rio G. L. D'Souza, K. Chandrasekaran, A. Kandasamy:
A Phenomic Algorithm for Inference of Gene Networks Using S-Systems and Memetic Search. BIONETICS 2010: 229-237 - [c3]Rio G. L. D'Souza, K. Chandrasekaran, A. Kandasamy:
A Multiobjective Phenomic Algorithm for Inference of Gene Networks. BIONETICS 2010: 440-451 - [c2]Rio G. L. D'Souza, K. Chandrasekaran, A. Kandasamy:
A Phenomic Approach to Genetic Algorithms for Reconstruction of Gene Networks. IC3 (1) 2010: 194-205 - [c1]Rio G. L. D'Souza, K. Chandrasekaran, A. Kandasamy:
Inference of Gene Networks from Microarray Data through a Phenomic Approach. ICT 2010: 83-89 - [i3]N. S. V. Shet, K. Chandrasekaran, K. C. Shet:
Implementation of Connectivity and Handover through Wireless Sensor Node based Techniques. CoRR abs/1001.5339 (2010) - [i2]Rio G. L. D'Souza, K. Chandrasekaran, A. Kandasamy:
Improved NSGA-II Based on a Novel Ranking Scheme. CoRR abs/1002.4005 (2010) - [i1]N. S. V. Shet, K. Chandrasekaran, K. C. Shet:
Implementation of Handoff through wireless access point Techniques. CoRR abs/1006.0860 (2010)
Coauthor Index
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