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Anand Mahendran

Researcher at VIT University

Publications -  37
Citations -  129

Anand Mahendran is an academic researcher from VIT University. The author has contributed to research in topics: Computer science & Formal language. The author has an hindex of 5, co-authored 25 publications receiving 81 citations. Previous affiliations of Anand Mahendran include Jazan University.

Papers
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Book ChapterDOI

Matrix insertion-deletion systems for bio-molecular structures

TL;DR: This paper introduces a simple grammar system that encompasses many bio-molecular structures including the above mentioned structures and discusses how the ambiguity levels defined for insertion-deletion grammar systems can be realized in bio-numbers structures, thus the ambiguity issues in gene sequences can be studied in terms of grammar systems.
Journal ArticleDOI

Modelling DNA and RNA secondary structures using matrix insertion–deletion systems

TL;DR: A simple grammar model is introduced called the matrix insertion–deletion system, and using it it is shown that the bio-molecular structures that occur at different levels can be theoretically studied by formal languages.
Journal ArticleDOI

An efficient hardware architecture based on an ensemble of deep learning models for COVID -19 prediction

TL;DR: In this article , an efficient hardware architecture based on an ensemble deep learning model is built to identify the COVID-19 using chest X-ray (CXR) records, and five deep learning models namely ResNet, fitness, IRCNN (Inception Recurrent Convolutional Neural Network), effectiveness, and Fitnet are ensembled for fine-tuning and enhancing the performance of the Covid-19 identification.
Journal ArticleDOI

Availability Modelling of Fault Tolerant Cloud Computing System

TL;DR: The key target of this paper is to show how the Markov-based model can fulfil the client request and a few scenarios of the failure rate of virtual machine's practices, for example, single system failure, multiple system failures, power outage are considered by applying theMarkov model.
Book ChapterDOI

On the ambiguity and complexity measures of insertion-deletion systems

TL;DR: It is proved that there are inherently i-ambiguous insertion-deletion languages which are j-unambiguous for the combinations (i, j) and an important result that the ambiguity problem of insertion- deletion system is undecidable.