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Journal Articles
- 2024
[j10]Vishal Gotarane
, Satheesh Abimannan, Shahid Hussain, Reyazur Rashid Irshad:
A Hybrid Framework Leveraging Whale Optimization and Deep Learning With Trust-Index for Attack Identification in IoT Networks. IEEE Access 12: 36296-36310 (2024)- [j9]Saurabh Shukla, Shahid Hussain, Reyazur Rashid Irshad, Ahmed Abdu Alattab, Subhasis Thakur, John G. Breslin, Mohd Fadzil Hassan, Satheesh Abimannan, Mohd. Shahid Husain, Syed Muslim Jameel:
Network analysis in a peer-to-peer energy trading model using blockchain and machine learning. Comput. Stand. Interfaces 88: 103799 (2024) - 2023
- [j8]Satheesh Abimannan, El-Sayed M. El-Alfy, Yue-Shan Chang, Shahid Hussain, Saurabh Shukla, Dhivyadharsini Satheesh:
Ensemble Multifeatured Deep Learning Models and Applications: A Survey. IEEE Access 11: 107194-107217 (2023) - 2021
- [j7]Ankita Bose, Ching-Hsien Hsu, Sanjiban Sekhar Roy, Kun Chang Lee, Behnam Mohammadi-Ivatloo, Satheesh Abimannan:
Forecasting stock price by hybrid model of cascading Multivariate Adaptive Regression Splines and Deep Neural Network. Comput. Electr. Eng. 95: 107405 (2021) - 2020
- [j6]Ren-Hung Hwang, Min-Chun Peng, Cheng-Yu Wu, Satheesh Abimannan:
A novel RPL-based multicast routing mechanism for wireless sensor networks. Int. J. Ad Hoc Ubiquitous Comput. 33(2): 122-131 (2020) - 2019
- [j5]Satheesh Abimannan, Kumaravelu R.:
A Mathematical Model of HMST Model on Malware Static Analysis. Int. J. Inf. Secur. Priv. 13(2): 86-103 (2019) - 2018
- [j4]Ravikumar Ramadoss, N. M. Elango, Satheesh Abimannan, Ching-Hsien Hsu:
PSPO: a framework for cost-effective service placement optimisation during enterprise modernisation on hybrid clouds. Int. J. Web Grid Serv. 14(2): 170-199 (2018) - [j3]Ravikumar Ramadoss, N. M. Elango, Satheesh Abimannan, Ching-Hsien Hsu:
Non-intrusive transaction aware filtering during enterprise application modernization. J. Supercomput. 74(3): 1157-1181 (2018) - 2015
- [j2]S. Krishnaveni, Satheesh Abimannan, E. Kannan:
Review of Big Data on Student Information for Finding the Uncertainty in Higher Education Enrollment. Int. J. Grid High Perform. Comput. 7(4): 21-32 (2015) - 2008
- [j1]Satheesh Abimannan, K. Vimal Kumar, S. Krishnaveni:
Generalized Load Sharing for Homogeneous Networks of Distributed Environment. J. Comput. Networks Commun. 2008: 294106:1-294106:9 (2008)
Conference and Workshop Papers
- 2023
- [c6]Satheesh Abimannan, El-Sayed M. El-Alfy, Saurabh Shukla, Dhivyadharsini Satheesh:
Spatiotemporal Particulate Matter Pollution Prediction Using Cloud-Edge Intelligence. ICONIP (11) 2023: 90-100 - 2019
- [c5]Satheesh Abimannan, Yue-Shan Chang, Chi-Yeh Lin:
Air Pollution Forecasting Using LSTM-Multivariate Regression Model. IOV 2019: 318-326 - [c4]Chi-Yeh Lin, Yue-Shan Chang, Hsin-Ta Chiao, Satheesh Abimannan:
Design a Hybrid Framework for Air Pollution Forecasting. SMC 2019: 2472-2477 - 2017
- [c3]Satheesh Abimannan, Ravikumar Ramadoss, N. M. Elango, Ching-Hsien Hsu:
EMAPM: Enterprise Modernization Autonomic Predictive Model in Hybrid Cloud Environments. SC² 2017: 56-62 - 2011
- [c2]Christy Sujatha D., Satheesh Abimannan:
Energy Efficient Free Cooling System for Data Centers. CloudCom 2011: 646-651 - 2010
- [c1]Satheesh Abimannan, D. Kumar, S. Krishnaveni:
Dynamic Adaptive Self-Configurable Network Processor. UIC/ATC Workshops 2010: 160-164
Coauthor Index
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