Abstract: The classification analysis of incomplete and imbalanced data is still a challenging task since these issues could negatively impact the training of classifiers, which were also found in our ...
Scientists in China have developed a novel missingness-aware power forecasting method that leverages signal decomposition, multi-scale covariate interaction, and multi-domain collaborative transfer ...
A research paper being presented this week at the Annual Computer Security Applications Conference reveals that satellite internet services, including T-Mobile's, used unencrypted transmissions that ...
aDepartment of Epidemiology and Public Health, University College London, London, UK bDepartment of Behavioural Science and Health, University College London, London, UK Whether short-term ...
Tensions at Manhattan's immigration courts are reaching a boiling point. Last week, Immigration and Customs Enforcement reinstated the officer who was initially relieved of duties after shoving an ...
Abstract: This study proposes a multivariate dynamic cost standard prediction model based on random forest; LSTM is combined with XGBoost to solve the problem of accuracy in predicting complex cost ...
For years, security leaders have treated artificial intelligence as an "emerging" technology, something to keep an eye on but not yet mission-critical. A new Enterprise AI and SaaS Data Security ...
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