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Dr. K. Hemalatha
Dr. K. Hemalatha
Assistant Professor, Dept of CSE-AI, MITS, Madanapalle
Verified email at mits.ac.in
Title
Cited by
Cited by
Year
Advancements in Multi-Layer Perceptron Training to Improve Classification Accuracy
K Hemalatha, KU Rani
International Journal on Recent and Innovation Trends in Computing and …, 2017
192017
Feature extraction of cervical pap smear images using fuzzy edge detection method
K Hemalatha, K Usha Rani
Data Engineering and Intelligent Computing: Proceedings of IC3T 2016, 83-90, 2018
152018
A fuzzy-based expert system to diagnose Alzheimer’s disease
PV Krishna, S Gurumoorthy, MS Obaidat, RM Mallika, K UshaRani, ...
Internet of Things and Personalized Healthcare Systems, 65-74, 2019
142019
Improvement of Multi Layer Perceptron Classification on Cervical Pap smear data with Feature Extraction
DKUR K. Hemalatha
International Journal of Innovative Research in Science Engineering and …, 2016
92016
An optimal neural network classifier for cervical pap smear data
K Hemalatha, KU Rani
2017 IEEE 7th International Advance Computing Conference (IACC), 110-114, 2017
72017
Utilization of blockchain technology to overthrow the challenges in healthcare industry
K Hemalatha, K Hema, V Deepika
Emerging Research in Data Engineering Systems and Computer Communications …, 2020
62020
An Enhanced Analysis of Blood Cancer Prediction Using ANN Sensor-Based Model
K Hemalatha, NM Priya, S Aswath, S Jaiswal
Engineering Proceedings 59 (1), 65, 2023
12023
Predictive Analysis of Damage Occurred Due to Natural Disasters Using Whale-Optimization Algorithm-Based Hybrid Computation
K Hemalatha, K Hema, V Deepika
Proceedings of the 2nd International Conference on Computational and Bio …, 2021
12021
A Comparison of Multi Support Vector Machine Performance with Popular Decomposition Strategies on Alzheimer’s Data
RM Mallika, K Usha Rani, K Hemalatha
Advances in Computational and Bio-Engineering: Proceeding of the …, 2020
12020
Performance Comparison of Hierarchical Multi-Layered Perceptron Network with different Back Propagation Algorithms on Cervical Cancer data
KKK K. Hemalatha, Dr.K.Usha Rani
International Journal of Computational Science, Mathematics and Engineering …, 2016
12016
Texture Features Based Hybrid Multi Support Vector Machine Model for the diagnosis of Alzheimer's disease through Brain MRI Images
RM Mallika, KU Rani, K Hemalatha, M Giri
2023 International Conference on Computational Intelligence, Networks and …, 2023
2023
IoT-driven automatic vehicle accident rescue system implemented with Proteus
K Hemalatha, SVSG Devi, V Deepika
2023 1st International Conference on Optimization Techniques for Learning …, 2023
2023
STARTUP ASSISTANT ANDROID APPLICATION
DRKH SHAIK NAFEESA SULTHANA, SETTI CHINMAI
International Journal of Engineering Development and Research (IJEDR) 10 (5 …, 2022
2022
GA based Feature Selection Model using MSVM for the Diagnosis of Alzheimer’s Disease
RM Mallika, K UshaRani, K Hemalatha
Design Engineering, 8891-8900, 2021
2021
Feature Based Analysis of MSVM on Brain MRI Images
KH R.M. Mallika, K. Usha Rani
Test Engineering and Management 83, 5748-5752, 2020
2020
Python based Expert System for Mango crop Disease Detection using Random Forest
KH K. Hemalatha
Test Engineering and Management 83, 5428-5432, 2020
2020
Feature Based Analysis of MSVM on Brain MRI Images
KH R M Mallika, K Usha Rani
Test Engineering and Management 83, 5748-5752, 2020
2020
Data Analysis on Biopsies of Breast Cancer Tumors Data Using Data Science
K Hemalatha, K Hema, V Deepika
Advances in Computational and Bio-Engineering: Proceeding of the …, 2020
2020
Enhanced MLP classifier performance using variant of Back Propagation on Modified Cervical Pap smear Data
KH K Usha Rani
International Journal of Computer Science Engineering (IJCSE) 8 (6), 255-260, 2019
2019
Recent Advances in Engineering Aspects of Pharmaceutical Crystallization-I
K Hemalatha, S Vedantam, KY Rani
Chemical Industry Digest, 66, 2018
2018
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