VLSI Implementation of a Digitally Tunable Gm-C Filter with Double CMOS Pair. - S. Ramasamy; B. Venkataramani; K. Anbugeetha (VLSI Design, 2008)

100KHz-20MHz Programmable Subthreshold Gm-C Low-Pass Filter in 0.18µ-m CMOS. - S. Ramasamy; B. Venkataramani; R. Niranjini; K. Suganya (VLSI Design, 2009)

A low power CMOS voltage reference circuit with sub threshold MOSFETs. - S. Ramasamy; B. Venkataramani; P. Meenatchisundaram (Int. J. Inf. Commun. Technol., 2009)

A Low Power Reconfigurable Analog Baseband Block for Software Defined Radio. - S. Ramasamy; B. Venkataramani (J. Signal Process. Syst., 2011)

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)

Robust dissipativity and passivity analysis for discrete-time stochastic neural networks with time-varying delay. - Gnaneswaran Nagamani; S. Ramasamy; Pagavathigounder Balasubramaniam (Complex., 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)

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)

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)

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)

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 001 (Neural Comput. Appl., 2018)

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)