Abstract: Traditional multivariate statistical process monitoring algorithms focus on whether measurements are significantly shifted compared with the training data, but lack further analysis of the ...
Why predicting power behavior is getting harder for AI chips. Dynamic Power Analysis: Closing the pre- versus post-silicon gap. The massive complexity and computational needs of today’s most advanced ...
ABSTRACT: This study examines the role of corporate entrepreneurship (CE) in transforming small businesses into corporate giants, particularly within the Ghana Club 100, contributing to national ...
This important study investigates how working memory load influences the Stroop effect from a temporal dynamics perspective. Convincing evidence is provided that the working memory load influences the ...
In the world of cybersecurity and software development, binary analysis holds a unique place. It is the art of examining compiled programs to understand their functionality, identify vulnerabilities, ...
In the era of big data, the propagation of malicious software poses a significant threat to corporate data security. To safeguard data assets from the encroachment of malware, it is essential to ...
Following Python packages are required: numpy,pandas,seaborn,matplotlib,pydot,igraph. We recommend using pip to install them on your local machine: pip install pandas ...
Abstract: This study addresses the limitations in data-driven PM2.5 concentration prediction, which typically depends on statistical relationships with other factors, posting challenges in processing.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback