Saurabh Bhardwaj

Learn More
The ISWI family of ATP-dependent chromatin remodelers represses transcription by changing nucleosome positions. ISWI regulates nucleosome positioning by requiring a minimal length of extranucleosomal DNA for moving nucleosomes. ISW2 from Saccharomyces cerevisiae, a member of the ISWI family, has a conserved domain called SLIDE (SANT-like ISWI domain) that(More)
A nine week cross over study (5 weeks drug administration and 4 weeks withdrawal) was performed to see the effect of a composite Indian herbal preparation (CIHP III), viz. Mentat, on avoidance learning during endurance performance of albino rats. Runimex, a circular runway was used for this purpose. The number of stimuli viz. electrical shock of 10 mv, in(More)
This paper introduces a novel method for the prediction of chaotic time series using a combination of Hidden Markov Model (HMM) and Neural Network (NN). In this paper, an algorithm is proposed wherein an HMM, which is a doubly embedded stochastic process, is used for the shape based clustering of data. These data clusters are trained individually with(More)
This paper introduces a novel approach which uses a Hidden Markov Model (HMM) based Fuzzy Inference System (FIS) for prediction of systems that are non deterministic, dynamical and chaotic in nature. The HMM is used for shape based batch creation of training data which is then processed one batch at a time by a FIS. The Membership functions and Rule Base of(More)
This paper presents three novel methods for speaker identification of which two methods utilize both the continuous density hidden Markov model (HMM) and the generalized fuzzy model (GFM), which has the advantages of both Mamdani and Takagi-Sugeno models. In the first method, the HMM is utilized for the extraction of shape-based batch feature vector that is(More)