ABSTRACT: Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex ...
Abstract: Plot classification refers to the identification of true target plots among initial detections, and it is crucial for target tracking with compact high-frequency surface wave radar (HFSWR) ...
A powerful tool to generate custom GitHub contribution patterns with backdated commits for any date range. Customize your profile's activity graph with configurable commits per day. A Python script ...
The challenge of managing and recalling facts from complex, evolving conversations is a key problem for many AI-driven applications. As information grows and changes over time, maintaining accurate ...
Nation-state espionage operations are increasingly using native Microsoft services to host their command-and-control (C2) needs. A number of unrelated groups in recent years have all come to the same ...
Depression has become the prevailing global mental health concern. The accuracy of traditional depression diagnosis methods faces challenges due to diverse factors, making primary identification a ...
Abstract: The motor imagery (MI) classification has been a prominent research topic in brain–computer interfaces (BCIs) based on electroencephalography (EEG). Over the past few decades, the ...
Cumulative relative frequency is an essential concept in statistics that shows the running total of relative frequencies. It helps us understand the distribution of data and provides insights into the ...
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