Generalized Load Sharing for Homogeneous Networks of Distributed Environment. - Satheesh Abimannan; K. Vimal Kumar; S. Krishnaveni (J. Comput. Networks Commun., 2008)

Dynamic Adaptive Self-Configurable Network Processor. - Satheesh Abimannan; D. Kumar; S. Krishnaveni (UIC/ATC Workshops, 2010)

Energy Efficient Free Cooling System for Data Centers. - Christy Sujatha D.; Satheesh Abimannan (CloudCom, 2011)

Review of Big Data on Student Information for Finding the Uncertainty in Higher Education Enrollment. - S. Krishnaveni; Satheesh Abimannan; E. Kannan (Int. J. Grid High Perform. Comput., 2015)

EMAPM: Enterprise Modernization Autonomic Predictive Model in Hybrid Cloud Environments. - Satheesh Abimannan; Ravikumar Ramadoss; N. M. Elango; Ching-Hsien Hsu (SC², 2017)

PSPO: a framework for cost-effective service placement optimisation during enterprise modernisation on hybrid clouds. - Ravikumar Ramadoss; N. M. Elango; Satheesh Abimannan; Ching-Hsien Hsu (Int. J. Web Grid Serv., 2018)

Non-intrusive transaction aware filtering during enterprise application modernization. - Ravikumar Ramadoss; N. M. Elango; Satheesh Abimannan; Ching-Hsien Hsu (J. Supercomput., 2018)

Air Pollution Forecasting Using LSTM-Multivariate Regression Model. - Satheesh Abimannan; Yue-Shan Chang; Chi-Yeh Lin (IOV, 2019)

Design a Hybrid Framework for Air Pollution Forecasting. - Chi-Yeh Lin; Yue-Shan Chang; Hsin-Ta Chiao; Satheesh Abimannan (SMC, 2019)

A Mathematical Model of HMST Model on Malware Static Analysis. - Satheesh Abimannan; Kumaravelu R. (Int. J. Inf. Secur. Priv., 2019)

A novel RPL-based multicast routing mechanism for wireless sensor networks. - Ren-Hung Hwang; Min-Chun Peng; Cheng-Yu Wu; Satheesh Abimannan (Int. J. Ad Hoc Ubiquitous Comput., 2020)

Forecasting stock price by hybrid model of cascading Multivariate Adaptive Regression Splines and Deep Neural Network. - Ankita Bose; Ching-Hsien Hsu; Sanjiban Sekhar Roy; Kun Chang Lee; Behnam Mohammadi-Ivatloo; Satheesh Abimannan (Comput. Electr. Eng., 2021)

Spatiotemporal Particulate Matter Pollution Prediction Using Cloud-Edge Intelligence. - Satheesh Abimannan; El-Sayed M. El-Alfy; Saurabh Shukla; Dhivyadharsini Satheesh (ICONIP (11), 2023)

Ensemble Multifeatured Deep Learning Models and Applications: A Survey. - Satheesh Abimannan; El-Sayed M. El-Alfy; Yue-Shan Chang; Shahid Hussain 002; Saurabh Shukla; Dhivyadharsini Satheesh (IEEE Access, 2023)

A Hybrid Framework Leveraging Whale Optimization and Deep Learning With Trust-Index for Attack Identification in IoT Networks. - Vishal Gotarane; Satheesh Abimannan; Shahid Hussain 002; Reyazur Rashid Irshad (IEEE Access, 2024)

Network analysis in a peer-to-peer energy trading model using blockchain and machine learning. - Saurabh Shukla; Shahid Hussain 002; Reyazur Rashid Irshad; Ahmed Abdu Alattab; Subhasis Thakur; John G. Breslin; Mohd Fadzil Hassan 001; Satheesh Abimannan; Mohd. Shahid Husain; Syed Muslim Jameel (Comput. Stand. Interfaces, 2024)

Marine ecological information prediction by using adjacent location spatiotemporal deep learning model with ensemble learning techniques. - Yue-Shan Chang; Shu-Ting Huang; Basanta Haobijam; Satheesh Abimannan; Takayuki Kushida (Ecol. Informatics, 2025)