Pangambam Sendash Singh

According to our database, Pangambam Sendash Singh authored at least 7 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Unsupervised deep autoencoder-based reconstruction for ink mismatch detection in hyperspectral document images.

Pangambam Sendash Singh, Karthikeyan Subbiah, Govind Murari Upadhayay, Sounak Sadhukhan, Pramod Kumar Soni, Timothy Malche

Discov. Comput., December, 2025

2024

Analysis of Urbanization Impact on Land Surface Temperature Variability by Using Landsat Imagery.

Vikash Kumar Mishra, Kamlesh Kumar Verma, Triloki Pant, Govind Murari Upadhyay, Pangambam Sendash Singh, Pramod Kumar Soni

SN Comput. Sci., October, 2024

2022

Enhanced classification of remotely sensed hyperspectral images through efficient band selection using autoencoders and genetic algorithm.

Pangambam Sendash Singh, Karthikeyan Subbiah

Neural Comput. Appl., 2022

2020

Local Binary Ensemble based Self-training for Semi-supervised Classification of Hyperspectral Remote Sensing Images.

Pangambam Sendash Singh, Vijendra Pratap Singh, Manish Kumar Pandey, Karthikeyan Subbiah

Computación y Sistemas, 2020

An LSTM Based Time Series Forecasting Framework for Web Services Recommendation.

Vijendra Pratap Singh, Manish Kumar Pandey, Pangambam Sendash Singh, Karthikeyan Subbiah

Computación y Sistemas, 2020

2019

A Benchmark Dataset for Manipuri Meetei-Mayek Handwritten Character Recognition.

Pangambam Sendash Singh

Dataset, September, 2019

An Empirical Mode Decomposition (EMD) Enabled Long Sort Term Memory (LSTM) Based Time Series Forecasting Framework for Web Services Recommendation.

Vijendra Pratap Singh, Manish Kumar Pandey, Pangambam Sendash Singh, Karthikeyan Subbiah

Proceedings of the Fuzzy Systems and Data Mining V, 2019