The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

CRISPR construct to genetically ablate the GABA transporter GAT3 in the mouse visual cortex, with effects on population-level neuronal activity. This work is important, as it sheds light on how GAT3 ...

Subspace learning and Support Vector Machine (SVM) are two critical techniques in pattern recognition, playing pivotal roles in feature extraction and classification. However, how to learn the optimal ...

Noncovalent interactions (NCIs) is an umbrella term for a multitude of typically weak interactions within and between molecules. Despite the low individual energy contributions, their collective ...

Mustafa Abdullah, D. and Mohsin Abdulazeez, A. (2021) Machine Learning Applications Based on SVM Classification a Review. Qubahan Academic Journal, 1, 81-90.

Machine Learning and Deep LearningApril 15, 2025 Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O ...

Welcome to the "Lung Cancer Prediction" repository, where we utilize machine learning models such as Random Forest, Logistic Regression, and SVM to predict lung cancer risks. This project focuses on ...

Welcome to the Lung Cancer Prediction repository! This project focuses on utilizing machine learning models such as Random Forest, Logistic Regression, and Support Vector Machine (SVM) to predict lung ...

The Microsoft Surface Laptop 7th Edition (15-inch) is a powerful, well-engineered machine with a bright display and a lengthy lifespan. Its design is a little plain but it excels in every other ...