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: In printed circuit board assembly (PCBA), effectively and reliably addressing the placement routing problem (PRP) for dual-gantry placement machines continues to be a considerable issue. In ...

A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...

ABSTRACT: As cloud computing continues to evolve, managing CPU resources effectively has become a critical task for ensuring system performance and efficiency. Traditional CPU resource management ...

In the fast-paced realm of semiconductor technology, optimizing chip design to meet the dual challenges of performance enhancement and cost reduction has emerged as a pivotal focus. A new study ...

Scratch-pad memory (SPM) has been widely used in embedded systems because it allows software-controlled data placement. By designing data placement strategies, optimal solutions with minimal memory ...

Background: Dysphagia is a common complication of stroke and often leads to the need for modified diets and alternate feeding routes. Length of stay (LOS) for stroke patients requiring percutaneous ...

Abstract: The objective of virtual machine placement in cloud data centers is to optimize resource allocation, which directly impacts the adherence to service level agreements (SLAs). Existing virtual ...

The National Institute of Standards and Technology announced a new series of digital signature algorithms ready for the agency’s post-quantum cryptographic standardization process, following the ...