ABSTRACT: With the widespread integration of high-penetration renewable energy, load volatility and spatio-temporal imbalances in power systems have intensified, imposing higher demands on real-time ...
Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...
Abstract: Operating room (OR) planning and scheduling is a highly complex combinatorial optimization problem that involves patient assignment, OR allocation, and surgical sequencing within a ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
A new technical paper titled “LongSight: Compute-Enabled Memory to Accelerate Large-Context LLMs via Sparse Attention” was published by researchers at Cornell University. “Large input context windows ...
Abstract: With the acceleration of urbanization, the construction resource management of civil pipeline engineering construction needs to seek a balance between multiple objectives such as resource ...
A new technical paper titled “Hardware Acceleration of Kolmogorov-Arnold Network (KAN) in Large-Scale Systems” was published by researchers at Georgia Institute of Technology, National Tsing Hua ...
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