Analysis of M/G/1 feedback queue with two types of services, Bernoulli vacations and random breakdowns. - M. C. Saravanarajan; V. M. Chandrasekaran 001 (Int. J. Math. Oper. Res., 2014)

Steady state analysis of batch arrival feedback retrial queue with two phases of service, negative customers, Bernoulli vacation and server breakdown. - Pakkirisamy Rajadurai; V. M. Chandrasekaran 001; M. C. Saravanarajan (Int. J. Math. Oper. Res., 2015)

Analysis of M[X]/G/1 retrial queue with two phase service under Bernoulli vacation schedule and random breakdown. - Pakkirisamy Rajadurai; M. Varalakshmi; M. C. Saravanarajan; V. M. Chandrasekaran 001 (Int. J. Math. Oper. Res., 2015)

An M/G/1 retrial queueing system with two phases of service, immediate Bernoulli feedbacks, single vacation and starting failures. - M. Varalakshmi; Pakkirisamy Rajadurai; M. C. Saravanarajan; V. M. Chandrasekaran 001 (Int. J. Math. Oper. Res., 2016)

Bound of energy with real and complex roots of an intuitionistic fuzzy directed graph. - G. Deepa; B. Praba; V. M. Chandrasekaran 001 (Int. J. Math. Model. Numer. Optimisation, 2017)

Cancer drug target identification and node-level analysis of the network of MAPK pathways. - V. K. M. D. Aksam; V. M. Chandrasekaran 001; Pandurangan Sundaramurthy (Netw. Model. Anal. Health Informatics Bioinform., 2018)

T-Normed Fuzzy TM-Subalgebra of TM-Algebras. - Julie Thomas; K. Indhira; V. M. Chandrasekaran 001 (Int. J. Comput. Intell. Syst., 2019)

Protein Domain Level Cancer Drug Targets in the Network of MAPK Pathways. - V. K. Md. Aksam; V. M. Chandrasekaran 001; Pandurangan Sundaramurthy (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Phase dependent breakdown in bulk arrival queueing system with vacation break-off. - S. P. Niranjan; V. M. Chandrasekaran 001; K. Indhira (Int. J. Data Anal. Tech. Strateg., 2020)

Neural network based prediction of less side effect causing cancer drug targets in the network of MAPK pathways. - V. K. Md. Aksam; V. M. Chandrasekaran 001; Pandurangan Sundaramurthy (Int. J. Bioinform. Res. Appl., 2021)