Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...
Abstract: The detailed temperature field distribution of high-power insulated gate bipolar transistor (IGBT) modules is important information for the reliability analysis and thermal design of power ...
Wave enables rapid prototyping of new optimization ideas and algorithms through its high-level abstractions and symbolic programming model. Kernel authors can quickly express complex tensor operations ...
Accurate and automated fruit classification plays a vital role in modern agriculture but remains challenging due to the wide variability in fruit appearances. In this study, we propose a novel ...
Long short-term memory (LSTM) networks have become indispensable tools in hydrological modeling due to their ability to capture long-term dependencies, handle non-linear relationships, and integrate ...
Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...
Enhancing enzyme catalytic efficiency and thermal stability is crucial for biocatalytic and industrial applications. While structure-based protein sequence design can improve thermal stability, its ...
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