.png){kind=icon}
Return
AI-assisted voice enabled computing framework for hydrological analysis
.png){kind=icon}
PRE
AI
DOI：10.1016/j.envsoft.2025.106833.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• We present a no-code, web-based platform for AI-assisted hydrological analysis. • Users interact through voice or text with a conversational AI assistant. • The platform integrates real-time hydrological data from federal sources. • It supports reproducible, multi-step workflows with session memory. • The tool lowers barriers for research, education, and decision-making.
Journal
E
IF:
4.6
Papers:
511
Citations:
1.8W
Organization
Cited Papers
ShareSave
ShareSaveShareSaveShareSaveEnd-to-End Deployment of the Educational AI Hub for Personalized Learning and Engagement: A Case Study on Environmental Science Education.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAIShareSaveShareSaveThe Analysis of Water Mass Movement in Lake Kisezers for Evaluation of Environmental Sustainability
PREAI
ShareSaveShareSave
View more