Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

Hyperparameter optimization lies at the core of developing robust and reliable machine learning models. Unlike parameters learned during training, hyperparameters are set prior to the learning process ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

Abstract: In the field of industrial manufacturing, advance fault prediction of machines and equipment can greatly reduce costs, improve efficiency and production quality, this study constructs an ...

This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...

Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Lymphocytes play critical ...

This repository contains optimizations for two critical components of modern machine learning systems: GPU-accelerated vector operations and distributed inference pipelines. High-performance ...

An image of the 3D printed nano lattice (left) and a cell of the lattice resting on a bubble (right). Image credits: Peter Serles/University of Toronto For years, scientists have been hunting for ...

Acute respiratory distress syndrome (ARDS) is a clinical syndrome triggered by pulmonary or extra-pulmonary factors with high mortality and poor prognosis in the ICU. The aim of this study was to ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Using machine learning, a team of researchers in Canada has created ultrahigh-strength carbon nanolattices, resulting in a material that's as strong as carbon steel, but only as dense as Styrofoam.