Journal

SCI indexed 

1.  Komarasamy, D., Ramaganthan, S. M., Kandaswamy, D. M., & Mony, G. (2024). Deep learning and optimization enabled multi-objective for task scheduling in cloud computing. Network: Computation in Neural Systems, 1-30. (SCI Indexed)

2. Alleema, N. N., Chaturvedi, A., Nanda, A. K., Josephson, P. J., Buttar, A. M., & Komarasamy, D. (2023). Computation Offloading for Image Compression in Mobile Edge Computing Using a Deep Belief Network Based on the Markov Approximation Algorithm. Mobile Networks and Applications, 1-15. (SCI indexed)

3. Rajavel, R., Komarasamy, D., Meenakshisundaram, I., Gubiniova, K., & Iwendi, C. (2022). Cognitive Fuzzy-based Behavioral Learning System for Augmenting the Automated Multi-issue Negotiation in the E-commerce Applications. Journal of Internet Technology, 23(6), 1335-1342. (SCI indexed)

4. Dinesh Komarasamy and Vijayalakshmi Muthuswamy,"Priority Scheduling with Consolidation based BackFilling algorithm in Cloud", Online Article, World Wide Web, vol. 21, no. 6, pp. 1453-1471, 2018 Springer Publication, (SCI indexed, UGC approved journal)

5. Dinesh Komarasamy and Vijayalakshmi Muthuswamy, "ScHeduling of jobs and Adaptive Resource Provisioning (SHARP) approach in cloud computing", Online article, Cluster Computing, Springer Publication, (SCI indexed, UGC approved journal)

6. Dinesh Komarasamy and Vijayalakshmi Muthuswamy, "Deadline Constrained Adaptive Multilevel Scheduling System in Cloud Environment", KSII Transactions on Internet and Information Systems, vol. 9, issue 4, pp. 1302-1320, 2015 (SCI indexed, UGC approved journal)

7. Dinesh Komarasamy and Vijayalakshmi Muthuswamy, "A Novel Approach for Dynamic Load Balancing with Effective Bin Packing and VM Reconfiguration in Cloud", Indian Journal of Science and Technology, vol. 9, no. 11, 2016 (Thomson reuters indexed, UGC approved journal)

Scopus Indexed

1. Hermina, J., Karpagam, N. S., Deepika, P., Jeslet, D. S., & Komarasamy, D. (2022). A Novel Approach to Detect Social Distancing Among People in College Campus. International Journal of Intelligent Systems and Applications in Engineering, 10(2), 153-158. (Scopus indexed)

2. Dinesh Komarasamy and Vijayalakshmi Muthuswamy, “Priority-based Job Scheduling with Effective Resource Selection Technique in the Cloud”, International Journal of Applied Engineering Research (IJAER), vol. 10, no. 75, pp. 7-11, 2015 (Scopus Indexed)

3. Dinesh Komarasamy and Vijayalakshmi Muthuswamy, “Efficient Federated Job Scheduler for Mixed Workloads in Cloud Computing”, International Journal of Applied Engineering Research (IJAER),  vol. 10, no. 69, pp. 44-48, 2015 (Scopus Indexed)

4. Dinesh Komarasamy and Vijayalakshmi Muthuswamy, “Content-based Federated Job Scheduling Algorithm in Cloud Computing”, Australian Journal Of Basic And Applied, vol.10, no.2, pp: 52-59, 2016 (Scopus Indexed)

5. B Krishnakumar, K Kousalya, RS Mohana, K Dinesh, S Santhiya, "Classification of Breast Cancer using Deep Learning Architecture", International Journal of Recent Technology and Engineering (IJRTE), vol. 8, no. 4, 2019 (Scopus Indexed)

Other journals

1. Komarasamy, Dinesh, R. Rakshitha, S. Sakthi Sri, N. Nandhini, and M. K. Dharani. "Minimising The Spread of Covid-19 Using Yolo V3 Algorithm." Journal of Positive School Psychology 6, no. 3 (2022): 6670-6679. 

2. Kousalya, K., S. Santhiya, K. Dinesh, R. S. Mohana, and B. Krishnakumar. "Blood cells classification using convolutional neural network architecture." Article in International Journal of Advanced Science and Technology 29, no. 3s (2020): 261-267. 

3. Krishnakumar, B., K. Kousalya, R. S. Mohana, K. Dinesh, and S. Santhiya. "Classification of Breast Cancer using Deep Learning Architecture." International Journal of Recent Technology and Engineering (IJR (2019). 

4. V Venkatesa Kumar, K Dinesh, “Job scheduling using fuzzy neural network algorithm in cloud environment”, Bonfring International Journal of Man-Machine Interface, vol 2, issue 1, 2012

5. K Dinesh, G Poornima, K Kiruthika, “Efficient resources allocation for different jobs in cloud”, International Journal of Computer Applications, vol. 56, no.10, pp. 30-35, 2012