Satheesh Abimannan

According to our database, Satheesh Abimannan authored at least 16 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Network analysis in a peer-to-peer energy trading model using blockchain and machine learning.

Saurabh Shukla, Shahid Hussain, Reyazur Rashid Irshad, Ahmed Abdu Alattab, Subhasis Thakur, John G. Breslin, Mohd Fadzil Hassan, Satheesh Abimannan, Moh. Shahid Husain, Syed Muslim Jameel

Comput. Stand. Interfaces, March, 2024

A Hybrid Framework Leveraging Whale Optimization and Deep Learning With Trust-Index for Attack Identification in IoT Networks.

Vishal Gotarane, Satheesh Abimannan, Shahid Hussain, Reyazur Rashid Irshad

IEEE Access, 2024

2023

Ensemble Multifeatured Deep Learning Models and Applications: A Survey.

Satheesh Abimannan, El-Sayed M. El-Alfy, Yue-Shan Chang, Shahid Hussain, Saurabh Shukla, Dhivyadharsini Satheesh

IEEE Access, 2023

Spatiotemporal Particulate Matter Pollution Prediction Using Cloud-Edge Intelligence.

Satheesh Abimannan, El-Sayed M. El-Alfy, Saurabh Shukla, Dhivyadharsini Satheesh

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2021

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

2020

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

2019

A Mathematical Model of HMST Model on Malware Static Analysis.

Satheesh Abimannan, Kumaravelu R.

Int. J. Inf. Secur. Priv., 2019

Design a Hybrid Framework for Air Pollution Forecasting.

Chi-Yeh Lin, Yue-Shan Chang, Hsin-Ta Chiao, Satheesh Abimannan

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Air Pollution Forecasting Using LSTM-Multivariate Regression Model.

Satheesh Abimannan, Yue-Shan Chang, Chi-Yeh Lin

Proceedings of the Internet of Vehicles. Technologies and Services Toward Smart Cities, 2019

2018

Non-intrusive transaction aware filtering during enterprise application modernization.

Ravikumar Ramadoss, N. M. Elango, Satheesh Abimannan, Ching-Hsien Hsu

J. Supercomput., 2018

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

2017

EMAPM: Enterprise Modernization Autonomic Predictive Model in Hybrid Cloud Environments.

Satheesh Abimannan, Ravikumar Ramadoss, N. M. Elango, Ching-Hsien Hsu

Proceedings of the 2017 IEEE 7th International Symposium on Cloud and Service Computing, 2017

2015

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

2011

Energy Efficient Free Cooling System for Data Centers.

Christy Sujatha D., Satheesh Abimannan

Proceedings of the IEEE 3rd International Conference on Cloud Computing Technology and Science, 2011

2010

Dynamic Adaptive Self-Configurable Network Processor.

Satheesh Abimannan, D. Kumar, S. Krishnaveni

Proceedings of the Symposia and Workshops on Ubiquitous, 2010

2008

Generalized Load Sharing for Homogeneous Networks of Distributed Environment.

Satheesh Abimannan, K. Vimal Kumar, S. Krishnaveni

J. Comput. Networks Commun., 2008