Rekh Ram Janghel

Orcid: 0000-0003-1425-6384

According to our database1, Rekh Ram Janghel authored at least 26 papers between 2009 and 2024.

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Bibliography

2024
Band selection using hybridization of particle swarm optimization and crow search algorithm for hyperspectral data classification.
Multim. Tools Appl., March, 2024

2023
Detection of Arrhythmia Heartbeats from ECG Signal Using Wavelet Transform-Based CNN Model.
Int. J. Comput. Intell. Syst., December, 2023

Automated epilepsy seizure detection from EEG signal based on hybrid CNN and LSTM model.
Signal Image Video Process., June, 2023

Detection of external defects in tomatoes using deep learning.
J. Ambient Intell. Humaniz. Comput., March, 2023

Optimized fuzzy based symbiotic organism search algorithm for engineering design problem.
Evol. Intell., February, 2023

A boosting-based transfer learning method to address absolute-rarity in skin lesion datasets and prevent weight-drift for melanoma detection.
Data Technol. Appl., 2023

Capsule-CRF Fusion: An Efficient & Novel Method for Precise Skin Lesion Localization and Boundary Estimations.
Proceedings of the OITS International Conference on Information Technology, 2023

2022
Effective forecasting of stock market price by using extreme learning machine optimized by PSO-based group oriented crow search algorithm.
Neural Comput. Appl., 2022

Breast cancer diagnosis in an early stage using novel deep learning with hybrid optimization technique.
Multim. Tools Appl., 2022

Stock market forecasting using intrinsic time-scale decomposition in fusion with cluster based modified CSA optimized ELM.
J. King Saud Univ. Comput. Inf. Sci., 2022

A hybrid feature fusion strategy for early fusion and majority voting for late fusion towards melanocytic skin lesion detection.
Int. J. Imaging Syst. Technol., 2022

Enhanced deep learning frame model for an accurate segmentation of cancer affected part in breast.
Concurr. Comput. Pract. Exp., 2022

2021
TrCSVM: a novel approach for the classification of melanoma skin cancer using transfer learning.
Data Technol. Appl., 2021

Classification of electrocardiogram signal using an ensemble of deep learning models.
Data Technol. Appl., 2021

Correction to: Recent Deep Learning Techniques, Challenges and Its Applications for Medical Healthcare System: A Review.
Neural Process. Lett., 2021

SLICACO: An automated novel hybrid approach for dermatoscopic melanocytic skin lesion segmentation.
Int. J. Imaging Syst. Technol., 2021

2020
Automatic arrhythmia recognition from electrocardiogram signals using different feature methods with long short-term memory network model.
Signal Image Video Process., 2020

2019
Recent Deep Learning Techniques, Challenges and Its Applications for Medical Healthcare System: A Review.
Neural Process. Lett., 2019

Enhancing Learnability of classification algorithms using simple data preprocessing in fMRI scans of Alzheimer's disease.
CoRR, 2019

2017
A comparison of soft computing models for Parkinson's disease diagnosis using voice and gait features.
Netw. Model. Anal. Health Informatics Bioinform., 2017

2014
Evolutionary Ensemble Model for Breast Cancer Classification.
Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014

2012
Breast Cancer Data Prediction by Dimensionality Reduction Using PCA and Adaptive Neuro Evolution.
Int. J. Inf. Syst. Soc. Chang., 2012

2010
Intelligent Decision Support System for Breast Cancer.
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010

Breast cancer diagnostic system using Symbiotic Adaptive Neuro-evolution (SANE).
Proceedings of the Second International Conference of Soft Computing and Pattern Recognition, 2010

Breast cancer diagnosis using Artificial Neural Network models.
Proceedings of the 3rd International Conference on Information Sciences and Interaction Sciences (ICIS 2010), 2010

2009
Mobile Robot Navigation Control in Moving Obstacle Environment Using Genetic Algorithm, Artificial Neural Networks and A* Algorithm.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009


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