Insider threats pose a significant challenge to organizational cybersecurity, often leading to catastrophic financial and reputational damages.Traditional tools such as firewalls and antivirus systems lack the sophistication needed to detect and mitigate these threats in real time.This paper introduces a machine Cabin learning-based system that int
Distributed Active Learning
Active learning aims at obtaining high-accuracy models with as a few labeled data as possible, by iteratively and elaborately selecting most valuable data to query labels during the learning process, thereby the cost of labeling data can be reduced.Most previous active learning approaches consider the situation of centralized processing, where all
Application of novel economic emission dispatch by considering the benchmark of multi-stage steam turbines, spinning reserve, and emission loss function
A critical global goal is the reduction of carbon emissions, which can be achieved by the application of clean energies such as wind energy in electric networks.However, due to the high volatility and complex behavior of this clean energy, some problems can occur in this network.Herein, a novel model of economic emission dispatch (EED) integrated w
Restoration and research of the archaeological fabric from burial of the bulgarian woman of the Golden Horde period (the end of the XIV century)
The results of SWEET ALMOND OIL technological research of silk fabrics from the noble-born woman grave from Bolgar, which was made in the period of the Golden Horde are represented in the article.The burial has been found in the ruins of the mausoleum, which is dated from the end of the XIV century.The deviation from the Islamic traditions is regar