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Kamal Das
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2020 – today
- 2024
- [c14]Subhojit Mandal, Kamal Das, Mainak Thakur, Manikandan Padmanaban, Jagabondhu Hazra:
Improved Dissolved Organic Carbon Prediction in Diverse Inland Water Bodies: Utilizing Machine Learning and Remote Sensing. IGARSS 2024: 5079-5083 - 2023
- [j4]Kamal Das
, Rajarshi Ray, Soumen Moulik:
Optimal relaying nodes selection for IEEE 802.15.6-based two-hop star topology WBAN. Internet Things 22: 100740 (2023) - [j3]Kamal Das
BOSS: Bargaining-Based Optimal Slot Sharing in IEEE 802.15.6-Based Wireless Body Area Networks. IEEE Internet Things J. 10(4): 2945-2953 (2023) - [c13]Kamal Das, Jitendra Singh:
Hybrid Ensemble Machine Learning Methodology for Improved Surface Soil Moisture Estimation. IGARSS 2023: 301-304 - [c12]Avinash Bhojanapalli, Subhojit Mandal, Mainak Thakur, Kamal Das:
A CALIPSO Observation Based 3-Dimensional Tropospheric Aerosol Classification Model Over the Indian City Delhi. IGARSS 2023: 305-308 - [c11]Kamal Das, Ranjini Guruprasad, Manikandan Padmanaban:
Machine Learning based Estimation of Column Averaged CO2 from OCO-2 Satellite Data. IGARSS 2023: 1444-1447 - [i1]Johannes Jakubik, Sujit Roy, C. E. Phillips, Paolo Fraccaro, Denys Godwin, Bianca Zadrozny, Daniela Szwarcman, Carlos Gomes, Gabby Nyirjesy, Blair Edwards, Daiki Kimura, Naomi Simumba, Linsong Chu, S. Karthik Mukkavilli, Devyani Lambhate, Kamal Das, Ranjini Bangalore, Dário A. B. Oliveira, Michal Muszynski, Kumar Ankur, Muthukumaran Ramasubramanian, Iksha Gurung, Sam Khallaghi, Hanxi Li, Michael Cecil, Maryam Ahmadi, Fatemeh Kordi, Hamed Alemohammad
Foundation Models for Generalist Geospatial Artificial Intelligence. CoRR abs/2310.18660 (2023) - 2022
- [j2]Kamal Das
Priority-Based Dedicated Slot Allocation With Dynamic Superframe Structure in IEEE 802.15.6-Based Wireless Body Area Networks. IEEE Internet Things J. 9(6): 4497-4506 (2022) - 2021
- [j1]Kamal Das
Parallel simulation of cyber-physical systems. Innov. Syst. Softw. Eng. 17(3): 319-331 (2021) - [c10]Kamal Das, Soumen Moulik:
PBCR: Parameter-based Backoff Counter Regulation in IEEE 802.15.6 CSMA/CA. COMSNETS 2021: 565-571 - [c9]Kamal Das, Navin Twarakavi, Noppadon Khiripet, Panyawat Chattanrassamee, Chalerm Kijkullert:
A Machine Learning Framework for Mapping Soil Nutrients with Multi-Source Data Fusion. IGARSS 2021: 3705-3708 - 2020
- [c8]Kamal Das, Shubhankar Majumdar
Real-Time Threshold-based Landslide Prediction System for Hilly Region using Wireless Sensor Networks. ICCE-TW 2020: 1-2 - [c7]Kamal Das, Subhojit Mandal, Mainak Thakur
High Resolution Spatial Mapping of Soil Nutrients Using K - Nearest Neighbor Based CNN Approach. IGARSS 2020: 1102-1105 - [c6]Gunkirat Kaur, Kamal Das, Jagabondhu Hazra:
Soil Nutrients Prediction Using Remote Sensing Data in Western India: An Evaluation of Machine Learning Models. IGARSS 2020: 4677-4680 - [c5]Kamal Das, Noppadon Khiripet, Panyawat Chattanrassamee, Chalerm Kijkullert, Vorraveerukorn Veerachit:
Crop Evapotranspiration Estimates for Sugarcane Based on Remote Sensing and Land Surface Model in Thailand. IGARSS 2020: 5175-5178
2010 – 2019
- 2019
- [c4]Soumen Moulik
Reliable Transmission of Critical Packets in IEEE 802.15.4-based Body Area Networks. ANTS 2019: 1-6 - [c3]Kalyan Dasgupta, Kamal Das, Manikandan Padmanaban:
Soil Moisture Evaluation Using Machine Learning Techniques on Synthetic Aperture Radar (SAR) And Land Surface Model. IGARSS 2019: 5972-5975 - [c2]Kamal Das, Jitendra Singh, Jagabondhu Hazra:
Comparison of Smap, Gldas and Simulated Soil Moisture Datasets Over A Malaysian Region. IGARSS 2019: 6298-6301 - 2018
- [c1]Kamal Das, Jitendra Singh, Jagabondhu Hazra, Shivkumar Kalyanaraman:
Evaluation of Land Surface Model Against Smap and In-Situ Observations for Indian Region. IGARSS 2018: 92-95
Coauthor Index
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last updated on 2024-09-28 01:30 CEST by the dblp team
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