S. Alam
Indian Institute of Engineering Science and Technology, Shibpur
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by S. Alam.
Letters in Applied Microbiology | 2008
S. Mazumder; Shilpi Bose; A. Bandopadhyay; S. Alam; Mina Mukherjee
Aims: To achieve high laccase production from Pleurotus ostreatus in a bench top bioreactor and to utilize the enzyme for determination of the total antioxidant concentration (TAC) of human plasma.
Journal of Biological Systems | 2009
S. Alam
In this paper the mathematical model of disease-selective predation as proposed by Roy and Chattopadhyay10 is considered to identify the true risk of selective predation where the predator can recognize the infected prey and avoids those during predation. Furthermore, the model is modified by adding a discrete time delay in the term involving the gestation of prey by the predator and analyzed both numerically and analytically to review the risk factors.
Symmetry | 2018
Avishek Chakraborty; Sankar Prasad Mondal; Ali Ahmadian; Norazak Senu; S. Alam; Soheil Salahshour
In this paper, we introduce the concept of neutrosophic number from different viewpoints. We define different types of linear and non-linear generalized triangular neutrosophic numbers which are very important for uncertainty theory. We introduced the de-neutrosophication concept for neutrosophic number for triangular neutrosophic numbers. This concept helps us to convert a neutrosophic number into a crisp number. The concepts are followed by two application, namely in imprecise project evaluation review technique and route selection problem.
Complexity | 2018
Animesh Mahata; Sankar Prasad Mondal; Ali Ahmadian; Fudziah Ismail; S. Alam; Soheil Salahshour
We study the different solution strategy for solving epidemic model in different imprecise environment, that is, a Susceptible-Infected-Susceptible (SIS) model in imprecise environment. The imprecise parameter is also taken as fuzzy and interval environment. Three different solution procedures for solving governing fuzzy differential equation, that is, fuzzy differential inclusion method, extension principle method, and fuzzy derivative approaches, are considered. The interval differential equation is also solved. The numerical results are discussed for all approaches in different imprecise environment.
Bulletin of Mathematical Biology | 2006
Shovonlal Roy; S. Alam; Joydev Chattopadhyay
BioSystems | 2005
Shovonlal Roy; S. Alam; Joydev Chattopadhyay
Ecological Genetics and Genomics | 2017
Animesh Mahata; Sankar Prasad Mondal; S. Alam; Banamali Roy
Revista de la Academia de Ciencias Exactas, Físicas, Químicas y Naturales de Zaragoza | 2007
S. Alam; A.K. Chongdar
Ecological Genetics and Genomics | 2017
Animesh Mahata; Banamali Roy; Sankar Prasad Mondal; S. Alam
International Journal of Applied and Computational Mathematics | 2018
Soheil Salahshour; Ali Ahmadian; Animesh Mahata; Sankar Prasad Mondal; S. Alam