Vipin Kumar

Central Tobacco Research Institute — India

Computer Science · Physical Sciences

12h-index1.9kcitations44works19.82yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Data Mining Algorithms and Applications(5), Hydrological Forecasting Using AI(5), Reservoir Engineering and Simulation Methods(5), Hydrology and Watershed Management Studies(4), Remote Sensing and LiDAR Applications(4)

Publications44 total

A Novel Strategy for Product Verification via Decentralized Blockchain Networks
2025
Enhancing Solar Cycle 25 and 26 Forecasting with Vipin-Deep-Decomposed-Recomposed Rolling-window (vD2R2w) Model on Sunspot Number Observations
Solar Physics·2024· 2 cited
Towards Knowledge Guided Pretraining Approaches for Multimodal Foundation Models: Applications in Remote Sensing
arXiv (Cornell University)·2024Open Access
Examining Research Trends on Why People Leave Jobs and Feel Satisfied: A Bibliometric Analysis
2024
Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems
Nature Communications·2024· 115 citedOpen Access
Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology
Society for Industrial and Applied Mathematics eBooks·2024· 2 cited
A deep transfer learning framework for mapping high spatiotemporal resolution LAI
ISPRS Journal of Photogrammetry and Remote Sensing·2023· 29 citedOpen Access
DINE PASS: Improving Hostel Dining Experience using Sense-Think-Act Paradigm
2023· 1 cited
Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling
arXiv (Cornell University)·2023Open Access
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence
arXiv (Cornell University)·2023· 11 citedOpen Access
Analysis of Crop Leaf Image Classification using Deep Learning Models over Novel Dataset
2023· 1 cited
Self-Training with Spatially Confident and Diverse Samples for the Classification of Remote Sensing Images
Journal of the Indian Society of Remote Sensing·2022· 3 cited
A Novel and Scalable Spatio-Temporal Technique for Ocean Eddy Monitoring
Proceedings of the AAAI Conference on Artificial Intelligence·2021· 18 citedOpen Access
ReaLSAT: Reservoir and Lake Surface Area Timeseries Dataset
Figshare·2021Open Access
ReaLSAT: Reservoir and Lake Surface Area Timeseries Dataset
Figshare·2021· 1 citedOpen Access
Using Machine Learning to Develop a Predictive Understanding of the Impacts of Extreme Water Cycle Perturbations on River Water Quality
2021· 4 citedOpen Access
ReaLSAT: A new Reservoir and Lake Surface Area Timeseries Dataset created using machine learning and satellite imagery
University of Minnesota Digital Conservancy (University of Minnesota)·2020· 1 citedOpen Access
Automated Plantation Mapping in Southeast Asia Using MODIS Data and Imperfect Visual Annotations
Remote Sensing·2020· 11 citedOpen Access
GLADD-R: A new Global Lake Dynamics Database for Reservoirs created using machine learning and satellite data
2019· 1 citedOpen Access
Intelligent systems for geosciences
Communications of the ACM·2018· 115 citedOpen Access
page 1 of 3Next →

Frequent Co-authors

Ankush Khandelwal(13), Anuj Karpatne(10), Shyam Boriah(6), Michael Steinbach(5), James H. Faghmous(5), Varun Mithal(5), Xiaowei Jia(4), George Karypis(4), Rahul Ghosh(4), Stefan Liess(4), Karsten Steinhaeuser(4), Zhihao Wei(4), Hilary A. Dugan(4), Paul C. Hanson(4), Shaoming Xu(3), William Leinberger(3), Pang‐Ning Tan(2), Arindam Banerjee(2), Imme Ebert‐Uphoff(2), Carla P. Gomes(2)