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ORCIDRekh Ram Janghel
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2020 – today
- 2024
[j18]Ram Nivas Giri, Rekh Ram Janghel, Saroj Kumar Pandey:
Band selection using hybridization of particle swarm optimization and crow search algorithm for hyperspectral data classification. Multim. Tools Appl. 83(9): 26901-26927 (2024)- [c7]Sushil Kumar Janardan, Rekh Ram Janghel:
Optimizing Hyperspectral Image Classification Through Swin Transformer Integration and CNN Feature Extraction. ICCIDS (2) 2024: 374-386 - 2023
- [j17]Sudeepa Das
, Tirath Prasad Sahu, Rekh Ram Janghel:
Optimized fuzzy based symbiotic organism search algorithm for engineering design problem. Evol. Intell. 16(1): 197-228 (2023) - [j16]Saroj Kumar Pandey, Anupam Shukla, Surbhi Bhatia, Thippa Reddy Gadekallu, Ankit Kumar, Arwa A. Mashat, Mohd Asif Shah, Rekh Ram Janghel:
Detection of Arrhythmia Heartbeats from ECG Signal Using Wavelet Transform-Based CNN Model. Int. J. Comput. Intell. Syst. 16(1): 80 (2023) - [j15]Akshat Chaturvedi, Sanjeev Sharma, Rekh Ram Janghel:
Detection of external defects in tomatoes using deep learning. J. Ambient Intell. Humaniz. Comput. 14(3): 2709-2721 (2023) - [j14]Lokesh Singh, Rekh Ram Janghel, Satya Prakash Sahu:
A boosting-based transfer learning method to address absolute-rarity in skin lesion datasets and prevent weight-drift for melanoma detection. Data Technol. Appl. 57(1): 1-17 (2023) - [j13]Saroj Kumar Pandey, Rekh Ram Janghel, Pankaj Kumar Mishra, Mitul Kumar Ahirwal:
Automated epilepsy seizure detection from EEG signal based on hybrid CNN and LSTM model. Signal Image Video Process. 17(4): 1113-1122 (2023) - [c6]Namrata Verma, Pankaj Kumar Mishra, Rekh Ram Janghel:
Capsule-CRF Fusion: An Efficient & Novel Method for Precise Skin Lesion Localization and Boundary Estimations. OCIT 2023: 892-897 - 2022
- [j12]Kranti Kumar Dewangan, Satya Prakash Sahu, Rekh Ram Janghel:
Enhanced deep learning frame model for an accurate segmentation of cancer affected part in breast. Concurr. Comput. Pract. Exp. 34(28) (2022) - [j11]Lokesh Singh, Rekh Ram Janghel, Satya Prakash Sahu:
A hybrid feature fusion strategy for early fusion and majority voting for late fusion towards melanocytic skin lesion detection. Int. J. Imaging Syst. Technol. 32(4): 1231-1250 (2022) - [j10]Sudeepa Das, Tirath Prasad Sahu, Rekh Ram Janghel:
Stock market forecasting using intrinsic time-scale decomposition in fusion with cluster based modified CSA optimized ELM. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part A): 8777-8793 (2022) - [j9]Kranti Kumar Dewangan, Deepak Kumar Dewangan, Satya Prakash Sahu, Rekh Ram Janghel:
Breast cancer diagnosis in an early stage using novel deep learning with hybrid optimization technique. Multim. Tools Appl. 81(10): 13935-13960 (2022) - [j8]Sudeepa Das, Tirath Prasad Sahu, Rekh Ram Janghel, Binod Kumar Sahu:
Effective forecasting of stock market price by using extreme learning machine optimized by PSO-based group oriented crow search algorithm. Neural Comput. Appl. 34(1): 555-591 (2022) - 2021
- [j7]Lokesh Singh, Rekh Ram Janghel, Satya Prakash Sahu:
SLICACO: An automated novel hybrid approach for dermatoscopic melanocytic skin lesion segmentation. Int. J. Imaging Syst. Technol. 31(4): 1817-1833 (2021) - [j6]Saroj Kumar Pandey, Rekh Ram Janghel:
Correction to: Recent Deep Learning Techniques, Challenges and Its Applications for Medical Healthcare System: A Review. Neural Process. Lett. 53(5): 3829 (2021) - [j5]Lokesh Singh, Rekh Ram Janghel, Satya Prakash Sahu:
TrCSVM: a novel approach for the classification of melanoma skin cancer using transfer learning. Data Technol. Appl. 55(1): 64-81 (2021) - [j4]Saroj Kumar Pandey, Rekh Ram Janghel:
Classification of electrocardiogram signal using an ensemble of deep learning models. Data Technol. Appl. 55(3): 446-460 (2021) - 2020
- [j3]Saroj Kumar Pandey, Rekh Ram Janghel:
Automatic arrhythmia recognition from electrocardiogram signals using different feature methods with long short-term memory network model. Signal Image Video Process. 14(6): 1255-1263 (2020)
2010 – 2019
- 2019
- [i1]Rishu Garg, Rekh Ram Janghel, Yogesh Rathore:
Enhancing Learnability of classification algorithms using simple data preprocessing in fMRI scans of Alzheimer's disease. CoRR abs/1912.04453 (2019) - 2017
- [j2]Rekh Ram Janghel, Anupam Shukla, Chandra Prakash Rathore, Kshitiz Verma, Swati Rathore:
A comparison of soft computing models for Parkinson's disease diagnosis using voice and gait features. Netw. Model. Anal. Health Informatics Bioinform. 6(1): 14 (2017) - 2014
- [c5]Rekh Ram Janghel, Anupam Shukla, Sanjeev Sharma, A. V. Gnaneswar:
Evolutionary Ensemble Model for Breast Cancer Classification. ICSI (2) 2014: 8-16 - 2012
- [j1]Rekh Ram Janghel, Ritu Tiwari, Rahul Kala, Anupam Shukla:
Breast Cancer Data Prediction by Dimensionality Reduction Using PCA and Adaptive Neuro Evolution. Int. J. Inf. Syst. Soc. Chang. 3(1): 1-9 (2012) - 2010
- [c4]Rekh Ram Janghel, Anupam Shukla, Ritu Tiwari, Rahul Kala:
Breast cancer diagnosis using Artificial Neural Network models. ICIS 2010: 89-94 - [c3]Rekh Ram Janghel, Anupam Shukla, Ritu Tiwari, Rahul Kala:
Breast cancer diagnostic system using Symbiotic Adaptive Neuro-evolution (SANE). SoCPaR 2010: 326-329 - [c2]Rekh Ram Janghel, Anupam Shukla, Ritu Tiwari, Rahul Kala:
Intelligent Decision Support System for Breast Cancer. ICSI (2) 2010: 351-358
2000 – 2009
- 2009
- [c1]Rahul Kala, Anupam Shukla, Ritu Tiwari, Sourabh Rungta, Rekh Ram Janghel:
Mobile Robot Navigation Control in Moving Obstacle Environment Using Genetic Algorithm, Artificial Neural Networks and A* Algorithm. CSIE (4) 2009: 705-713
Coauthor Index
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