A5028057932- Advanced Neural Network Applications
- Hydrological Forecasting Using AI
- Parallel Computing and Optimization Techniques
- Hydrology and Watershed Management Studies
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Flood Risk Assessment and Management
Roshydromet
2022
Abstract The potential of construction machine learning models was considered as applied to water level forecasting in mountain river reaches Krasnodar Krai based on observation data levels at automated hydrological complexes the Automated System Flood Conditions Monitoring Krai. study objects were two rivers Krai―the Pshish and Mzymta. These flow different natural conditions differ their regimes character lateral inflow under consideration. focused three widely used architectures:...
Deep Learning has established itself to be a common occurrence in the business lexicon. The unprecedented success of deep learning recent years can attributed to: an abundance data, availability gargantuan compute capabilities offered by GPUs, and adoption open-source philosophy researchers industry. neural networks decomposed into series different operators. MIOpen, AMD's primitives library for provides highly optimized implementations such operators, shielding from internal implementation...