J
J. Das
Researcher at Indian Statistical Institute
Publications - 43
Citations - 382
J. Das is an academic researcher from Indian Statistical Institute. The author has contributed to research in topics: SODAR & Fuzzy rule. The author has an hindex of 10, co-authored 43 publications receiving 364 citations.
Papers
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SOFM-MLP: a hybrid neural network for atmospheric temperature prediction
TL;DR: A novel neural architecture that combines a self-organizing feature map (SOFM) and MLPs to realize a hybrid network named SOFM-MLP with better performance and the use of appropriate features can not only reduce the number of features drastically, but also can improve the prediction accuracy.
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A multi-stage neural network aided system for detection of microcalcifications in digitized mammograms
TL;DR: The system is tested on a set of 17 mammograms comprising 10 abnormal and seven normal images which are not used in training and the system is found to perform very well.
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Land cover classification using fuzzy rules and aggregation of contextual information through evidence theory
Arijit Laha,Nikhil R. Pal,J. Das +2 more
TL;DR: A multistage classifier that involves fuzzy rule extraction from the training data and then the generation of a possibilistic label vector for each pixel using the fuzzy rule base is proposed.
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A fast and flexible multiresolution snake with a definite termination criterion
TL;DR: A robust and definite termination criterion for both conventional and proposed methods is demonstrated and a fast process of parametric snake evolution with a multiresolution strategy is described.
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A soft computing approach for rainfall retrieval from the TRMM microwave imager
TL;DR: A neural network model for rainfall retrieval over ocean from remotely sensed microwave (MW) brightness temperature (BT) data is proposed and it is found that the hybrid network utilizing FS and clustering techniques performs better.