Search Results - "Hariharan, M"
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Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNN
Published in Applied soft computing (01-02-2021)“…COVID-19 is a deadly viral infection that has brought a significant threat to human lives. Automatic diagnosis of COVID-19 from medical imaging enables precise…”
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Attention embedded residual CNN for disease detection in tomato leaves
Published in Applied soft computing (01-01-2020)“…Automation in plant disease detection and diagnosis is one of the challenging research areas that has gained significant attention in the agricultural sector…”
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Contour-enhanced attention CNN for CT-based COVID-19 segmentation
Published in Pattern recognition (01-05-2022)“…•Accurate detection of COVID-19 is one of the challenging research topics in today's healthcare sector to control the coronavirus pandemic.•The proposed…”
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A new hybrid intelligent system for accurate detection of Parkinson's disease
Published in Computer methods and programs in biomedicine (01-03-2014)“…Abstract Elderly people are commonly affected by Parkinson's disease (PD) which is one of the most common neurodegenerative disorders due to the loss of…”
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Comprehensive study on structural, electronic, optical, elastic, and transport properties of natural mercury sulphohalides via DFT computation
Published in Scientific reports (10-08-2024)“…The Mercury Sulphohalides have attracted significant attention in the fields of solar cells and thermoelectric applications. This study delves into the…”
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CT-based severity assessment for COVID-19 using weakly supervised non-local CNN
Published in Applied soft computing (01-05-2022)“…Evaluating patient criticality is the foremost step in administering appropriate COVID-19 treatment protocols. Learning an Artificial Intelligence (AI) model…”
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A new hybrid PSO assisted biogeography-based optimization for emotion and stress recognition from speech signal
Published in Expert systems with applications (01-03-2017)“…•OSBSBCFs were used for multiclass emotion/stress recognition from speech signal.•A New Hybrid PSO Assisted BBO (PSOBBO) was proposed for feature…”
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Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN
Published in Computer methods and programs in biomedicine (01-03-2021)“…•The proposed architecture correlates the context from multi-scaled feature maps for better segmentation of ischemic lesion.•It uses classification and…”
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Sine–cosine algorithm for feature selection with elitism strategy and new updating mechanism
Published in Neural computing & applications (01-10-2017)“…Pattern recognition is the task of choosing the pertinent and descriptive features that best describes the target concept during feature selection (FS)…”
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Investigations on the electronic, optical, thermoelectric and thermodynamic properties of quaternary coinage metal HgSeBr: a DFT study
Published in Physica scripta (01-03-2024)“…Abstract In the present study, we examine the structural, electronic, optical, thermodynamic, and transport properties of CuHgSeBr, a mercury chalcogenide…”
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Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification
Published in Computer methods and programs in biomedicine (01-03-2018)“…•This paper proposes a new feature set using wavelet packet transform based energy and non-linear entropies.•Improved Binary Dragonfly optimization (IBDFO)…”
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Investigations on the thermoelectric and thermodynamic properties of quaternary coinage metal HgSBr
Published in Heliyon (01-09-2023)“…We present the findings of a thorough first-principles analysis of physical parameters related to the ground state, elastic, electronic, optical,…”
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Impact of Quantum Confinement on the Optical and Magnetic Properties of Cobalt-Doped CdS Quantum Dots
Published in Journal of cluster science (01-06-2024)“…The cobalt-doped CdS quantum dots that were synthesized using the co-precipitation process is discussed in this article. The x-ray diffraction analysis…”
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5-Fluorouracil-loaded [beta]-cyclodextrin-carrying polymeric poly-coated samarium ferrite nanoparticles and their anticancer activity
Published in Journal of materials science (01-03-2019)“…Drug-loading on magnetic nanoparticles coated with biocompatible polymers are intriguing nanostructures for targeted delivery of anticancer drugs with the…”
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Non-invasive prediction of hemoglobin level using machine learning techniques with the PPG signal's characteristics features
Published in Applied soft computing (01-12-2015)“…Hemoglobin level measurement device based on PPG signal. •A prediction algorithm method is developed by entering the characteristic features of the PPG signal…”
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Classification of speech dysfluencies with MFCC and LPCC features
Published in Expert systems with applications (01-02-2012)“…The goal of this paper is to discuss comparison of speech parameterization methods: Mel-Frequency Cepstrum Coefficients (MFCC) and Linear Prediction Cepstrum…”
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Pathological infant cry analysis using wavelet packet transform and probabilistic neural network
Published in Expert systems with applications (01-11-2011)“…► Wavelet packet transform provides a robust representation of infant cry signals. ► Probabilistic neural network (PNN) is proposed for classification of…”
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Retraction Note: Sine–cosine algorithm for feature selection with elitism strategy and new updating mechanism
Published in Neural computing & applications (01-06-2024)Get full text
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Detecting log anomaly using subword attention encoder and probabilistic feature selection
Published in Applied intelligence (Dordrecht, Netherlands) (01-10-2023)“…Log anomaly is a manifestation of a software system error or security threat. Detecting such unusual behaviours across logs in real-time is the driving force…”
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AI for COVID-19 Detection from Radiographs: Incisive Analysis of State of the Art Techniques, Key Challenges and Future Directions
Published in Ingénierie et recherche biomédicale (01-10-2022)“…In recent years, Artificial Intelligence has had an evident impact on the way research addresses challenges in different domains. It has proven to be a huge…”
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