A recursive sampling based method for path planning. - Khelchandra Thongam; Jie Huang 012 (SMC, 2007)

Path planning of mobile robot with neuro-fuzzy technique. - Khelchandra Thongam; Jie Huang 012; Somen Debnath (ISDA, 2012)

Path planning of mobile robot with neuro-genetic-fuzzy technique in static environment. - Khelchandra Thongam; Jie Huang 012; Somen Debnath (Int. J. Hybrid Intell. Syst., 2014)

A Genetic Algorithm and Fuzzy Logic Approach for Video Shot Boundary Detection. - Dalton Meitei Thounaojam; Khelchandra Thongam; Kh. Manglem Singh; Sudipta Roy 001 (Comput. Intell. Neurosci., 2016)

Entropy-Based Application Layer DDoS Attack Detection Using Artificial Neural Networks. - Khundrakpam Johnson Singh; Khelchandra Thongam; Tanmay De (Entropy, 2016)

Ranking of Sites for Installation of Hydropower Plant Using MLP Neural Network Trained with GA: A MADM Approach. - Benjamin A. Shimray; Kh. Manglem Singh; Khelchandra Thongam; R. K. Mehta (Comput. Intell. Neurosci., 2017)

Modified Artificial Potential Field Approaches for Mobile Robot Navigation in Unknown Environments. - Ngangbam Herojit Singh; Salam Shuleenda Devi; Khelchandra Thongam (SocProS (1), 2018)

Detection and differentiation of application layer DDoS attack from flash events using fuzzy-GA computation. - Khundrakpam Johnson Singh; Khelchandra Thongam; Tanmay De (IET Inf. Secur., 2018)

Motion planning of mobile robot using Fuzzy-GA method along with Three Path concept in dynamic environment. - Sapam Jitu Singh; Sudipta Roy 001; Khumanthem Manglem Singh; Khelchandra Thongam (J. Intell. Fuzzy Syst., 2018)

A Study on Deep Learning for Breast Cancer Detection in Histopathological Images. - Oinam Vivek Singh; Prakash Choudhary; Khelchandra Thongam (CVIP (2), 2019)

A Comparative Analysis for Various Stroke Prediction Techniques. - M. Sheetal Singh; Prakash Choudhary; Khelchandra Thongam (CVIP (2), 2019)

Colour histogram and modified multi-layer perceptron neural network based video shot boundary detection. - Dalton Meitei Thounaojam; Khelchandra Thongam; Thokchom Jayshree; Sudipta Roy 001; Khumanthem Manglem Singh (Int. Arab J. Inf. Technol., 2019)

Neural network-based approaches for mobile robot navigation in static and moving obstacles environments. - Ngangbam Herojit Singh; Khelchandra Thongam (Intell. Serv. Robotics, 2019)

Automatic Speaker Recognition from Speech Signals Using Self Organizing Feature Map and Hybrid Neural Network. - Kharibam Jilenkumari Devi; Nangbam Herojit Singh; Khelchandra Thongam (Microprocess. Microsystems, 2020)

Kidney diseases classification based on SONN and MLP-GA in ultrasound radiography images. - Anuradha Laishram; Khelchandra Thongam (Int. J. Comput. Sci. Eng., 2023)

Automatic speaker recognition from speech signal using bidirectional long-short-term memory recurrent neural network. - Kharibam Jilenkumari Devi; Khelchandra Thongam (Comput. Intell., 2023)

An automated epileptic seizure detection using optimized neural network from EEG signals. - Maibam Mangalleibi Chanu; Ngangbam Herojit Singh; Khelchandra Thongam (Expert Syst. J. Knowl. Eng., 2023)

DenseRes-Net: An Architecture for Gland Segmentation. - Wangkheirakpam Reema Devi; Sudipta Roy 001; Khelchandra Thongam; Chiranjiv Chingangbam (SN Comput. Sci., 2023)

An ensemble-based transfer learning model for predicting the imbalance heart sound signal using spectrogram images. - Sinam Ajitkumar Singh; Ningthoujam Dinita Devi; Khuraijam Nelson Singh; Khelchandra Thongam; Balakrishna Reddy D; Swanirbhar Majumder (Multim. Tools Appl., 2024)

Automatic Detection and Classification of Dental Anomalies and Tooth Types Using Transformer-Based Yolo With GA Optimization. - Sanabam Bineshwor Singh; Anuradha Laishram; Khelchandra Thongam; Khumanthem Manglem Singh (IEEE Access, 2025)