| Urban change detection analysis during 1978–2017 at Kolkata, India, using multi-temporal satellite data K Kundu, P Halder, JK Mandal Journal of the Indian Society of Remote Sensing 48 (11), 1535-1554, 2020 | 24 | 2020 |
| Detection and prediction of sundarban reserve forest using the CA-Markov chain model and remote sensing data K Kundu, P Halder, JK Mandal Earth Science Informatics 14 (3), 1503-1520, 2021 | 19 | 2021 |
| Forest cover change analysis in Sundarban delta using remote sensing data and GIS K Kundu, P Halder, JK Mandal Intelligent Computing Paradigm: Recent Trends, 85-101, 2020 | 15 | 2020 |
| Change detection and patch analysis of Sundarban forest during 1975–2018 Using Remote Sensing and GIS data K Kundu, P Halder, JK Mandal SN Computer Science 2, 1-14, 2021 | 14 | 2021 |
| Validation of minimal worst-case time complexity by Stirling’s, Ramanujan’s, and Mortici’s approximation A Dutta, MR Choudhury, K Kundu 2022 3rd International conference for emerging technology (INCET), 1-4, 2022 | 12 | 2022 |
| Extrapolating linked list data structures to 3rd dimension A Dutta, MR Choudhury, K Kundu Iran Journal of Computer Science 6 (3), 195-206, 2023 | 8 | 2023 |
| Image denoising using patch based processing with fuzzy Gaussian membership function K Kundu International Journal of Computer Applications 118 (12), 0975-8887, 2015 | 6 | 2015 |
| Change detection and patch analysis of Sundarban forest during 1975–2018 using remote sensing and GIS data. SN Computer Science 2 (5): 1–14 K Kundu, P Halder, JK Mandal | 5 | 2021 |
| Estimation and Analysis of Change Detection, Forest Canopy Density, and Forest Fragmentation: A Case Study of the Indian Sundarbans K Kundu, P Halder, JK Mandal Journal of Sustainable Forestry 42 (6), 624-639, 2023 | 4 | 2023 |
| A GIS Based Tool to Digitize Polygon and Line Segments of a Black and White Map K Kundu, P Halder, JK Mandal Journal of Remote Sensing & GIS (JoRSG) ISSN, 2230-7990, 0 | 3 | |
| Shoreline Change Detection and Future Prediction of Sundarban Delta Using Remote Sensing Data and Digital Shoreline Analysis System K Kundu, JK Mandal Journal of the Indian Society of Remote Sensing 52 (3), 485-503, 2024 | 2 | 2024 |
| Multispectral satellite image classification using hybrid convolution neural network K Kundu, P Halder, JK Mandal Proceedings of International Conference on Advanced Computing Applications …, 2022 | 2 | 2022 |
| Forest covers classification of Sundarban on the basis of fuzzy C-means algorithm using satellite images K Kundu, P Halder, JK Mandal Proceedings of the Global AI Congress 2019, 515-528, 2020 | 2 | 2020 |
| Geomorphological Changes in Sundarbans Delta Using GIS and Remote Sensing Data K Kundu, P Halder Computational Intelligence, Communications, and Business Analytics: Second …, 2019 | 2 | 2019 |
| An Efficient Method to Digitize Polygon Objects of a Black and White Raster Map K Kundu, P Halder, JK Mandal International Journal of Computer Science Issues (IJCSI), ISSN, 1694-0784, 2016 | 2 | 2016 |
| Rule-Based Investigation on Positive Change in Air Quality at Kolkata during Lockdown Period Due to COVID-19 Pandemic A Datta, KL Hassan, K Kundu Doctoral Symposium on Human Centered Computing, 212-222, 2023 | 1 | 2023 |
| Urban Growth Prediction of Kolkata City Using SLEUTH Model K Kundu, P Halder, JK Mandal Proceedings of International Conference on Innovations in Software …, 2021 | 1 | 2021 |
| Estimation of Sundarban Reserve Forest Using Self-organizing Maps and Remote Sensing Data K Kundu, P Halder, JK Mandal Proceedings of International Conference on Computational Intelligence and …, 2022 | | 2022 |
| Estimation of Changes of Vegetation Cover in Sundarban Using Multi-Temporal Satellite Data K Kundu, P Halder, JK Mandal Advances in Modelling and Analysis D 23 (1), 19-26, 2018 | | 2018 |
| Digitization of Polygon Objects in a Raster Map based on the Direction K Kundu, P Halder, JK Mandal International Journal of Computer Applications 975, 8887, 2017 | | 2017 |
Jyotsna Kumar MandalProfessor of Computer Science & Engineering, Kalyani University在 klyuniv.ac.in 的电子邮件经过验证
