Pipeline data analytics & machine learning end-to-end menggunakan AdaBoost, SMOTENC, Optuna, dan threshold tuning untuk memprediksi customer churn, mencapai recall 91,64% dan mengurangi biaya ...

A cross-sectional study of 1,005 breast cancer patients identified three fatigue subgroups and found perceived stress, ...

A controlled benchmark of six machine-learning classifiers on a synthetic road-accident dataset shows that the most accurate ...

Large-scale computing infrastructure such as cloud data centers face overheating risks due to high workloads and environmental conditions. Predicting server CPU temperature in advance can help in ...

A Microsoft Research-led team published a study in Nature on October 14, 2026, introducing probabilistic bias correction (PBC), a machine learning framework the authors report improves weather ...

本文以 python-machine-learning-book仓库 code/ch07的章节内容为核心，系统讲解集成学习（Ensemble Learning）的三种主流实现路径：多数投票集成（Majority Vote）、Bagging 自助采样集成与 AdaBoost 自适应提升。

The dynamic landscape of cybersecurity threats necessitates intelligent and responsive defense mechanisms. As cyberattacks become increasingly sophisticated, real-time detection within adaptive ...

Researchers have developed the first known machine-learning-powered tool that can predict patient risk of hundreds of diseases based solely on patient health records and genetic profiles. The model ...

The simplest solution is often the best, especially when solving a specific machine learning problem. I have seen many people use large language models (LLMs) and generative AI systems for tasks like ...

The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare program, which could be mitigated using lessons from machine learning. MA ...

With the continuous growth of global energy consumption and the progressive depletion of conventional oil and gas resources, the focus of oil and gas exploration and development is accelerating toward ...