Ensemble learning is widely applied in various real-world settings, with Bagging and Boosting being two core algorithms. Although these techniques have been extensively investigated through ...

Thanks to the advent of super-resolution microscopes some 30 years ago, scientists can observe subcellular structures, proteins and living tissue with unprecedented precision. These microscopes ...

Three machine learning algorithms—Logistic Boosting, Random Forest, and Support Vector Machines (SVM)—were evaluated for anomaly detection in IoT-driven industrial environments. A real-world dataset ...

Solar-induced chlorophyll fluorescence (SIF) is a crucial indicator of vegetation photosynthesis, and in recent years, tower-based SIF measurements have become increasingly valuable in conjunction ...

A team of researchers from Baidu Research has developed an AI algorithm that can rapidly design highly stable COVID-19 mRNA vaccine sequences that were previously unattainable. The algorithm, named ...

Scientists have developed an algorithm that can determine whether a super-resolution microscope is operating at maximum resolution based on a single image. The method is compatible with all types of ...