The use of circulating tumor DNA to stratify the risk of recurrence after surgical debulking in epithelial ovarian cancer. This is an ASCO Meeting Abstract from the 2026 ASCO Annual Meeting I. This ...
Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...
A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...
ABSTRACT: We present the complete methodology to propose an efficient electrothermal model of the Silicon Carbide (SiC) Metal Oxide Semiconductor Field Effect Transistor (MOSFET), largely used in high ...
Abstract: This paper proposes a multilayer perceptron (MLP)-based three-track detection method for dual-layer bit-patterned magnetic recording (BPMR) systems. Three different MLP architectures are ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study explores the development of two predictive models for the yield sooting ...
ABSTRACT: Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...
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