Dr. Manish Kumar
Dr. Manish Kumar
Visiting Assistant Professor, Department of Computer Science, Seoul National University of Science
Verified email at - Homepage
Cited by
Cited by
Comparative Analysis of Classification Methods with PCA and LDA for Diabetes
VKD DK Choubey, M Kumar, V Shukla, S Tripathi
Current Diabetes Review, 2020
Cat swarm optimization based functional link artificial neural network filter for Gaussian noise removal from computed tomography images
M Kumar, SK Mishra, SS Sahu
Applied Computational Intelligence and Soft Computing 2016, 2016
Functional Link Convolutional Neural Network for the Classification of Diabetes Mellitus
SK Jangir, M Kumar, DK Choubey, M Verma
International Journal of Numerical Methods in Biomedical Engineering, 2021
Teaching learning based optimization-functional link artificial neural network filter for mixed noise reduction from magnetic resonance image
M Kumar, SK Mishra
Bio-medical materials and engineering 28 (6), 643-654, 2017
A comprehensive review on nature inspired neural network based adaptive filter for eliminating noise in medical images
M Kumar, SK Mishra
Current medical imaging 16 (4), 278-287, 2020
Jaya based functional link multilayer perceptron adaptive filter for Poisson noise suppression from X-ray images
M Kumar, SK Mishra
Multimedia Tools and Applications 77 (18), 24405-24425, 2018
Particle Swarm Optimization-based Functional Link Artificial Neural Network for Medical Image Denoising
M Kumar, SK Mishra
computational Vision and Robotics 332, 105-111, 2015
Jaya-FLANN based adaptive filter for mixed noise suppression from ultrasound images
Manish Kumar and Sudhansu Kumar Mishra
Biomedical Research 28 (9), 4159-4164, 2017
Feature importance score-based functional link artificial neural networks for breast cancer classification
S Singh, SK Jangir, M Kumar, M Verma, S Kumar, TS Walia, SM Kamal
BioMed Research International 2022, 2022
Implementation of a hybrid classification method for diabetes
DK Choubey, S Paul, K Bala, M Kumar, UP Singh
Intelligent Innovations in Multimedia Data Engineering and Management, 201-240, 2019
An Approach Toward Information Retrieval Through Machine Learning and Its Algorithms: A Review
JSK Sharma R., Menghani B., Thanvi A., Kumar M.
Rising Threats in Expert Applications and Solutions. Advances in Intelligent …, 2020
GRU-based Digital Twin Framework for Data Allocation and Storage in IoT-enabled Smart Home Networks
SK Singh, M Kumar, S Tanwar, JH Park
Future Generation Computer Systems, 2023
Machine learning predictive models for optimal design of photovoltaic/thermal collector with nanofluids based geothermal cooling
M Kumar, S Jakhar, MK Paliwal
Environmental Progress & Sustainable Energy, 2023
Industrial Internet of Things: technologies and research directions
A Sharma, SK Jangir, M Kumar, DK Choubey, T Shrivastava, ...
CRC Press, 2022
Adaptive comprehensive particle swarm optimisation‐based functional‐link neural network filtre model for denoising ultrasound images
M Kumar, SK Mishra, J Joseph, SK Jangir, D Goyal
IET Image Processing, 2021
Cat Swarm Optimization based Functional Link Multilayer Perceptron for Suppression of Gaussian and Impulse Noise from Computed Tomography Images
M Kumar, SK Mishra, SK Choubey, DK Choubey, D Das, SS Tripathi
Current Medical Imaging 16 (4), 329-339, 2020
Empowering Cyberattack Identification in IoHT Networks With Neighborhood Component-based Improvised Long Short-Term Memory
M Kumar, C Kim, Y Son, SK Singh, S Kim
IEEE Internet of Things Journal, 2024
A hybrid model based on convolution neural network and long short-term memory for qualitative assessment of permeable and porous concrete
M Kumar, S Singh, S Kim, A Anand, S Pandey, SMM Hasnain, AE Ragab, ...
Case Studies in Construction Materials 19, e02254, 2023
Improved convolutional neural network and heuristic technique based on forecasting and sizing of hybrid renewable energy system
S Kumari, UK Sinha, M Kumar, SK Jangir, AK Singh
International Journal of Sensors Wireless Communications and Control 12 (2 …, 2022
Blockchain for vehicular ad hoc network and intelligent transportation system: A comprehensive study
R Sharma, A Thanvi, S Singh, M Kumar, SK Jangir
Machine learning approaches for convergence of IoT and blockchain, 145-173, 2021
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