A new study published in Big Earth Data demonstrates that integrating Twitter data with deep learning techniques can ...
ai-learning-graph/ ├── learning-graphs/ # YAML files defining concepts and relationships │ ├── 00_graph_meta.yaml # Domain-level structure │ ├── 01_math_foundations.yaml │ ├── 02_deep_learning.yaml │ ...
Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...
1 Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia 2 Center of Excellence in Intelligent Engineering Systems (CEIES), King ...
Department of Neurology, Xianyang Hospital of Yan’an University, Xianyang, China Introduction: This study aims to systematically evaluate the diagnostic efficacy of Transformer-based multimodal fusion ...
Abstract: Road segmentation is a key task in remote sensing semantic segmentation, and the existing deep learning methods still have the problems of insufficient fineness, difficulty in modeling ...
Abstract: As the population of older adults continues growing, so will the need for cost-effective approaches to early dementia detection. Deep learning approaches using patient speech samples show ...
Accurate short-to-subseasonal streamflow forecasts are becoming crucial for effective water management in an increasingly variable climate. However, streamflow forecast remains challenging over ...
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