Abstract: Employee attrition poses significant challenges for organizations, affecting productivity, workforce stability, and operational costs. The ability to predict turnover with high accuracy can ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
Dynamic Machine Learning Framework for Secure, Ultra-Reliable, and Energy-Efficient Open RAN Systems
Abstract: This paper proposes a machine learning (ML)-driven framework for Open Radio Access Networks (ORAN) to address security, Ultra-Reliable Low-Latency Communication (URLLC), and energy ...
Overview Programming languages are in demand for cloud, mobile, analytics, and web development, as well as security. Online ...
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