Abstract: Predicting whether an earthquake will generate a tsunami is critical for early warning systems and disaster mitigation. In this study, we present an AI-driven approach to classify ...
Abstract: This paper presents a data-driven Random Forest (RF) framework for the joint relay–link selection and buffer management problem in buffer-aided cooperative relay networks, with the goal of ...
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Black Forest Labs' new Self-Flow technique makes training multimodal AI models 2.8x more efficient
This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models that are deeply aligned with their specific data domains ...
Phase III breast cancer survival modeling using Cox regression (R) and Random Survival Forest (Python) with clinical covariates and C-index evaluation.
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