S. Ramasamy

According to our database, S. Ramasamy authored at least 14 papers between 2008 and 2026.

Collaborative distances:

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

2026

Hybrid network for automated detection of atherosclerotic plaques and lumen analysis in optical coherence tomography imaging.

Paulraj Ranjith Kumar, K. S. Harini Varsha, K. Gowri Subadra, Vimala Mannarsamy, S. Ramasamy, J. S. Senthil Kumaar

Multim. Tools Appl., May, 2026

2025

A WSN-Based WbCNF Algorithm to Enable Cloud Computing and Big Data Analytics in Healthcare.

S. Ramasamy, V. Baby Vennila

Int. J. Commun. Syst., 2025

Sift-BCD: SIFT-CNN integrated machine learning-based breast cancer detection.

Vimala Mannarsamy, Ponnrajakumari Mahalingam, Thilagam Kalivarathan, K. Amutha, Paulraj Ranjith Kumar, S. Ramasamy

Biomed. Signal Process. Control., 2025

2018

Further results on dissipativity analysis for Markovian jump neural networks with randomly occurring uncertainties and leakage delays.

Thirunavukkarasu Radhika, Gnaneswaran Nagamani, Quanxin Zhu, S. Ramasamy, R. Saravanakumar

Neural Comput. Appl., 2018

2017

Further Results on Dissipativity Criterion for Markovian Jump Discrete-Time Neural Networks with Two Delay Components Via Discrete Wirtinger Inequality Approach.

S. Ramasamy, Gnaneswaran Nagamani, Thirunavukkarasu Radhika

Neural Process. Lett., 2017

Robust dissipativity and passivity based state estimation for discrete-time stochastic Markov jump neural networks with discrete and distributed time-varying delays.

Gnaneswaran Nagamani, S. Ramasamy, Anke Meyer-Baese

Neural Comput. Appl., 2017

2016

Dissipativity and passivity analysis for discrete-time T-S fuzzy stochastic neural networks with leakage time-varying delays based on Abel lemma approach.

Gnaneswaran Nagamani, S. Ramasamy

J. Frankl. Inst., 2016

Dissipativity and passivity analysis for uncertain discrete-time stochastic Markovian jump neural networks with additive time-varying delays.

Gnaneswaran Nagamani, S. Ramasamy

Neurocomputing, 2016

Robust dissipativity and passivity analysis for discrete-time stochastic neural networks with time-varying delay.

Gnaneswaran Nagamani, S. Ramasamy, Pagavathigounder Balasubramaniam

Complex., 2016

Stochastic dissipativity and passivity analysis for discrete-time neural networks with probabilistic time-varying delays in the leakage term.

Gnaneswaran Nagamani, S. Ramasamy

Appl. Math. Comput., 2016

2011

A Low Power Reconfigurable Analog Baseband Block for Software Defined Radio.

S. Ramasamy, B. Venkataramani

J. Signal Process. Syst., 2011

2009

A low power CMOS voltage reference circuit with sub threshold MOSFETs.

S. Ramasamy, B. Venkataramani, P. Meenatchisundaram

Int. J. Inf. Commun. Technol., 2009

100KHz-20MHz Programmable Subthreshold G_m-C Low-Pass Filter in 0.18µ-m CMOS.

S. Ramasamy, B. Venkataramani, R. Niranjini, K. Suganya

Proceedings of the VLSI Design 2009: Improving Productivity through Higher Abstraction, 2009

2008

VLSI Implementation of a Digitally Tunable Gm-C Filter with Double CMOS Pair.

S. Ramasamy, B. Venkataramani, K. Anbugeetha

Proceedings of the 21st International Conference on VLSI Design (VLSI Design 2008), 2008