Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
de Filippis, R. and Al Foysal, A. (2026) Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data.
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Abstract: Bone fracture can be defined as the complete or partial disruption of the integrity of bone tissue. Early and accurate diagnosis of fractures plays a decisive role in the effectiveness of ...
We are excited to release the CapRL 2.0 series: CapRL-Qwen3VL-2B and CapRL-Qwen3VL-4B. These models feature fewer parameters while delivering even more powerful captioning performance. Notably, ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
Abstract: The study provides an innovative method for rice grain categorization based on Mask RCNN architecture and deep transfer learning methods. To support the agricultural and food processing ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results