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Khelchandra Thongam
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- affiliation: National Institute of Technology, Manipur, India
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2020 – today
- 2024
- [j14]Sinam Ajitkumar Singh
, Ningthoujam Dinita Devi, Khuraijam Nelson Singh, Khelchandra Thongam
An ensemble-based transfer learning model for predicting the imbalance heart sound signal using spectrogram images. Multim. Tools Appl. 83(13): 39923-39942 (2024) - 2023
- [j13]Kharibam Jilenkumari Devi
Automatic speaker recognition from speech signal using bidirectional long-short-term memory recurrent neural network. Comput. Intell. 39(2): 170-193 (2023) - [j12]Maibam Mangalleibi Chanu
An automated epileptic seizure detection using optimized neural network from EEG signals. Expert Syst. J. Knowl. Eng. 40(6) (2023) - [j11]Anuradha Laishram, Khelchandra Thongam
Kidney diseases classification based on SONN and MLP-GA in ultrasound radiography images. Int. J. Comput. Sci. Eng. 26(5): 602-613 (2023) - [j10]Wangkheirakpam Reema Devi
DenseRes-Net: An Architecture for Gland Segmentation. SN Comput. Sci. 4(5): 521 (2023) - 2020
- [j9]Kharibam Jilenkumari Devi, Nangbam Herojit Singh, Khelchandra Thongam
Automatic Speaker Recognition from Speech Signals Using Self Organizing Feature Map and Hybrid Neural Network. Microprocess. Microsystems 79: 103264 (2020)
2010 – 2019
- 2019
- [j8]Dalton Meitei Thounaojam, Khelchandra Thongam, Thokchom Jayshree, Sudipta Roy, Khumanthem Manglem Singh:
Colour histogram and modified multi-layer perceptron neural network based video shot boundary detection. Int. Arab J. Inf. Technol. 16(4): 686-693 (2019) - [j7]Ngangbam Herojit Singh, Khelchandra Thongam
Neural network-based approaches for mobile robot navigation in static and moving obstacles environments. Intell. Serv. Robotics 12(1): 55-67 (2019) - [c5]Oinam Vivek Singh, Prakash Choudhary
A Study on Deep Learning for Breast Cancer Detection in Histopathological Images. CVIP (2) 2019: 36-48 - [c4]M. Sheetal Singh
A Comparative Analysis for Various Stroke Prediction Techniques. CVIP (2) 2019: 98-106 - 2018
- [j6]Khundrakpam Johnson Singh
Detection and differentiation of application layer DDoS attack from flash events using fuzzy-GA computation. IET Inf. Secur. 12(6): 502-512 (2018) - [j5]Sapam Jitu Singh, Sudipta Roy
Motion planning of mobile robot using Fuzzy-GA method along with Three Path concept in dynamic environment. J. Intell. Fuzzy Syst. 35(2): 1445-1457 (2018) - [c3]Ngangbam Herojit Singh, Salam Shuleenda Devi
Modified Artificial Potential Field Approaches for Mobile Robot Navigation in Unknown Environments. SocProS (1) 2018: 319-328 - 2017
- [j4]Benjamin A. Shimray
Ranking of Sites for Installation of Hydropower Plant Using MLP Neural Network Trained with GA: A MADM Approach. Comput. Intell. Neurosci. 2017: 4152140:1-4152140:8 (2017) - 2016
- [j3]Dalton Meitei Thounaojam
A Genetic Algorithm and Fuzzy Logic Approach for Video Shot Boundary Detection. Comput. Intell. Neurosci. 2016: 8469428:1-8469428:11 (2016) - [j2]Khundrakpam Johnson Singh
Entropy-Based Application Layer DDoS Attack Detection Using Artificial Neural Networks. Entropy 18(10): 350 (2016) - 2014
- [j1]Khelchandra Thongam
Path planning of mobile robot with neuro-genetic-fuzzy technique in static environment. Int. J. Hybrid Intell. Syst. 11(2): 71-80 (2014) - 2012
- [c2]Khelchandra Thongam
Path planning of mobile robot with neuro-fuzzy technique. ISDA 2012: 149-154
2000 – 2009
Coauthor Index
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