Author

Hemalatha S

School of Information Technology and Engineering, VIT University - Cited by 185 - Image Processing - Pattern Recognition - Image classification

Biography

Programmed Cell Death, Disease Resistance and Apoptosis, Molecular and Genetic basis of pathogenicity mechanisms in lower eukaryotes, Functional Genomics, Proteomics, Bio- informatics, Mycotoxins, Ribosome inactivating proteins, Diabetes mediated Neurodegeneration
Title
Cited by
Year
Unsupervised segmentation of remote sensing images using FD based texture analysis model and ISODATA
S Hemalatha, SM AnounciaInternational Journal of Ambient Computing and Intelligence (IJACI) 8 (3), 58-75, 2017201
45
2017
Integrating nanomaterial and high-performance fuzzy-based machine learning approach for green energy conversion
A Sujith, R Swathi, R Venkatasubramanian, N Venu, S Hemalatha, ...Journal of Nanomaterials 2022, 1-11, 2022202
41
2022
A computational model for texture analysis in images with fractional differential filter for texture detection
S Hemalatha, SM AnounciaBiometrics: Concepts, Methodologies, Tools, and Applications, 309-332, 2017201
25
2017
A systematic review on Fingerprint based Biometric Authentication System
S Hemalatha2020 International Conference on Emerging Trends in Information Technology …, 2020202
22
2020
GL fractional differential operator modified using auto-correlation function: Texture enhancement in images
S Hemalatha, SM AnounciaAin Shams Engineering Journal 9 (4), 1689-1704, 2018201
12
2018
Comparative analysis of image segmentation techniques and its algorithm
P Jayapriya, S HemalathaInternational Journal of Scientific & Technology Research 8 (), 2209-2212, 2019201
10
2019
Hybrid block-based lightweight machine learning-based predictive models for quality preserving in the internet of things-(IoT-) based medical images with diagnostic applications
VK Reshma, IR Khan, M Niranjanamurthy, PK Aggarwal, S Hemalatha, ...Computational Intelligence and Neuroscience 2022, 2022202
6
2022
Detection of maize stem and leaf diseases using edge detection method to prevent the crops from diseases
P Jayapriya, S HemalathagComparative analysis of image segmentation techniques and its algorithm 12 …, 2020202
4
2020
Image Forgery Detection Using Key-Point Extraction and Segmentation
S Hemalatha, S Santhosh KumarInternational Journal Of Pharmacy & Technology 8 (2), 1219-1229, 2016201
3
2016
Data augmentation for improving rice leaf disease classification on residual network architecture
AP Shaji, S Hemalatha2022 International Conference on Advances in Computing, Communication and …, 2022202
3
2022
Role of Cytochrome P450 in Prostate Cancer and its Therapy
R Kaushik, S Khan, M Sharma, S Hemalatha, Z Mueed, NK PoddarCurrent Enzyme Inhibition 16 (1), 63-73, 000
2
2020
Cloud Computing: An Analysis of Authentication Methods Over Internet
A Kudale, S HemalathaInformation and Communication Technology for Competitive Strategies (ICTCS …, 010
2
2021
Partial Fractional Derivative (PFD) based Texture Analysis Model for Medical Image Segmentation
S Hemalatha, S Margret AnounciaKnowledge Computing and Its Applications: Knowledge Manipulation and …, 20820
1
2018
Biosensor-assisted method for abdominal syndrome classification using machine learning algorithm
C Gandhi, SS Ahmad, A Mehbodniya, JL Webber, S Hemalatha, ...Computational Intelligence and Neuroscience 2022, 2022202
1
2022
Futuristic authentication in cloud computing environments
A Kudale, S HemalathaKARPAGAM J. Comput. Sci 2 (), 0976-2926, 20720
1
2017
A Liver Damage Prediction Using Partial Differential Segmentation with Improved Convolutional Neural Network
B Sumathy, P Dadheech, M Jain, A Saxena, S Hemalatha, W Liu, ...Journal of Healthcare Engineering 2022, 2022202
1
2022