Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
The onetime pure bitcoin miner signed a 20-year deal to host the AI firm at a Kentucky campus, the latest crypto-adjacent ...
Abstract: Missing or incorrect data caused by improper operations can seriously compromise security investigation. Missing data can not only damage the integrity of the information but also lead to ...
This study aims at investigating the applicability of abnormal electricity consumption data detection method, which is based on the entropy weight method and the isolated forest tree algorithm. The ...
Though we’re living through a time of extraordinary innovation in GPU-accelerated machine learning, the latest research papers frequently (and prominently) feature algorithms that are decades, in ...
With the increasing of data on the internet, data analysis has become inescapable to gain time and efficiency, especially in bibliographic information retrieval systems. We can estimate the number of ...