Abstract: Classification of brain tumors from MRI images is crucial for early diagnosis and effective treatment planning. However, there are still obstacles to overcome, including low image quality, ...

Accurate and timely diagnosis of inborn errors of immunity (IEI) is essential for improving patient outcomes. Flow cytometry is widely recommended for robust and sensitive IEI screening; however, no ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Centre for Robotics and Assembly, Faculty of Engineering and Applied Science, Cranfield University, Cranfield, United Kingdom The rapid advancement and expanding application of robotics in various ...

Achieving state-of-the-art accuracy in molecular property prediction using self-supervised AI, enabling cost-effective modeling based on electron-level information without quantum calculations ...

ABSTRACT: Support vector regression (SVR) and computational fluid dynamics (CFD) techniques are applied to predict the performance of an automotive torque converter in the design process of turbine ...

Please provide your email address to receive an email when new articles are posted on . The WISEcode classification system graded ultra-processed foods more evenly vs. the NOVA system. The tool ...

Crop identification and monitoring of crop dynamics are essential for agricultural planning, environmental monitoring, and ensuring food security. Recent advancements in remote sensing technology and ...

Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...

Abstract: The existing methods for diagnosing partial discharge (PD) insulation defects in gas-insulated switchgear (GIS) can only achieve a high identification accuracy (ACC) if sufficient labeled ...