R
Rishin Haldar
Researcher at VIT University
Publications - 10
Citations - 174
Rishin Haldar is an academic researcher from VIT University. The author has contributed to research in topics: Computer science & Identification (biology). The author has an hindex of 4, co-authored 9 publications receiving 123 citations.
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Levenshtein Distance Technique in Dictionary Lookup Methods: An Improved Approach
TL;DR: An improvement has been made to this method by grouping some similar looking alphabets and reducing the weighted difference among members of the same group, and the results showed marked improvement over the traditional Levenshtein distance technique.
Journal ArticleDOI
Applying Chatbots to the Internet of Things: Opportunities and Architectural Elements
Rohan Kar,Rishin Haldar +1 more
TL;DR: The shortcomings of existing IoT systems are analyzed and ways to tackle them are put forward by incorporating chatbots, a general architecture is proposed for implementing such a system, as well as platforms and frameworks which allow for the implementation of such systems.
Book ChapterDOI
Comprehensive in silico screening and molecular dynamics studies of missense mutations in Sjogren-Larsson syndrome associated with the ALDH3A2 gene.
S. Udhaya Kumar,D Thirumal Kumar,Pinky D Mandal,Srivarshini Sankar,Rishin Haldar,Balu Kamaraj,Charles Emmanuel Jebaraj Walter,Ramamoorthy Siva,C. George Priya Doss,Hatem Zayed +9 more
TL;DR: The computational pipeline provided in this study helps to elucidate the potential structural and functional differences between the ALDH3A2 native and mutant homodimeric proteins, and will pave the way for drug discovery against specific targets in the SLS patients.
Journal ArticleDOI
Fingerprint image classification using local diagonal and directional extrema patterns
TL;DR: The proposed LDDEP descriptor is compared with the existing methods on two databases, namely National Institute of Standards Technology Special Database 4 (NIST SD 4) and Fingerprint Verification Competition (FVC), and gave higher accuracies compared to theexisting methods.
Journal ArticleDOI
Effective utilisation of influence maximization technique for the identification of significant nodes in breast cancer gene networks.
Hrishikesh Bharadwaj Chakrapani,Smruti Chourasia,Sibasish Gupta,Thirumal Kumar D,C. George Priya Doss,Rishin Haldar +5 more
TL;DR: In this article, a popular influence maximization technique was applied on a large breast cancer gene network to identify the most influential genes computationally, which is a crucial step in understanding the disease's functional characteristics and finding an effective drug.