M
Mahua Bhattacharya
Researcher at Indian Institute of Information Technology and Management, Gwalior
Publications - 118
Citations - 880
Mahua Bhattacharya is an academic researcher from Indian Institute of Information Technology and Management, Gwalior. The author has contributed to research in topics: Image segmentation & Segmentation. The author has an hindex of 15, co-authored 116 publications receiving 692 citations. Previous affiliations of Mahua Bhattacharya include Indian Institutes of Information Technology & Indian Statistical Institute.
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Journal ArticleDOI
Energy-Efficient Intelligent Routing Scheme for IoT-Enabled WSNs
TL;DR: A deep-reinforcement-learning (DRL)-based intelligent routing scheme is proposed for IoT-enabled WSNs that significantly reduce delay and increase network lifetime and is compared with the state-of-the-art algorithms.
Proceedings ArticleDOI
Fuzzy Logic Based Segmentation of Microcalcification in Breast Using Digital Mammograms Considering Multiresolution
Mahua Bhattacharya,Arpita Das +1 more
TL;DR: A novel approach of segmentation implemented on X-ray mammograms for more accurate detection of microcalcification clusters has been introduced, based on discrete wavelet transform due to its multiresolution properties.
Journal ArticleDOI
Affine-based registration of CT and MR modality images of human brain using multiresolution approaches: comparative study on genetic algorithm and particle swarm optimization
Arpita Das,Mahua Bhattacharya +1 more
TL;DR: A comparative study shows the superiority and robustness of swarm methodology over genetic approach and particle swarm optimization technique to overcome registration problem.
Journal ArticleDOI
Quality assessment of modeled protein structure using physicochemical properties.
TL;DR: Nine machine learning methods with six physicochemical properties are explored to predict the Root Mean Square Deviation, Template Modeling, and Global Distance Test of modeled protein structure in the absence of its true native state and it is found that Random Forest method outperforms over other machine learning method.
Journal ArticleDOI
Development of Application Specific Continuous Speech Recognition System in Hindi
TL;DR: The preliminary work towards a continuous speech recognition system in Hindi tailored to aid teaching Geometry in Primary schools is presented and results are presented.