首页|New Findings on Machine Learning from Indian Institute of Technology Roorkee Sum marized (Synergistic Approach for Streamflow Forecasting In a Glacierized Catchm ent of Western Himalaya Using Earth Observation and Machine Learning Techniques)
New Findings on Machine Learning from Indian Institute of Technology Roorkee Sum marized (Synergistic Approach for Streamflow Forecasting In a Glacierized Catchm ent of Western Himalaya Using Earth Observation and Machine Learning Techniques)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news originating from Uttar Pradesh, India, by NewsRx co rrespondents, research stated, “Accurate forecast of daily streamflow of the maj or Himalayan rivers is crucial for understanding changes in their hydrological r egimes caused by precipitation variability, as well as their potential implicati ons for hydropower generation and flood management in the downstream region. How ever, the study pertaining to daily streamflow forecasting in the western Himala yas is lacking, primarily due to the limited availability and accessibility of long-term daily gauged data.”
Uttar PradeshIndiaAsiaCyborgsEmerging TechnologiesMachine LearningIndian Institute of Technology Roorkee
NETL
NSTL
