Dynamic Graph Attention Network Improves Soil Moisture Forecasting in Karnataka
A dynamic graph attention neural network achieved an RMSE of 0.022 m³/m³ when forecasting soil moisture in Karnataka, India, outperforming ...
A dynamic graph attention neural network achieved an RMSE of 0.022 m³/m³ when forecasting soil moisture in Karnataka, India, outperforming ...
A quantitative descriptive study of 178 Lambani women in Karnataka who had hysterectomies before age 40 found widespread moderate and ...
A study of tribal communities in Karnataka indicates that structural food access and caregiver attitudes, rather than theoretical nutrition knowledge, ...
A meteorological and geospatial study of Karnataka's dry agro-climatic zones reveals widespread drought patterns across four decades of gridded climate ...
A community-based study in rural Karnataka revealed significant pandemic-related declines in antenatal care registration, doctor consultations, and nutrition support, whereas ...
Researchers have developed and evaluated a Retrieval Augmented Generation (RAG) system designed specifically for answering questions in Kannada about Karnataka's ...
Groundwater in Mandya district, India, shows radon-222 and polonium-210 activities with strong geological control and wide spatial variation.
A PCA-weighted Composite Drought Index combining SPI, SPEI, NDVI and VCI identified three major drought phases and a prominent 2020–2022 ...
A micro-costing analysis found the OncoCare cancer care app cost ₹1,00,372 to develop and pilot, equal to 0.093% of Karnataka's ...
A GIS-based morphometric and hypsometric analysis of eight micro-watersheds in Karnataka's Cauvery River Basin ranks Dholenahalli as the most erosion-vulnerable ...
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© 2026 Scienmag - Science Magazine