Angstrom-scale plasmonic gap boosts nonlinear light output by 2,000% per volt

Researchers at the Institute for Molecular Science (NINS, Japan) and SOKENDAI have demonstrated a more than 2000% voltage-induced enhancement of near-field nonlinear optical responses. To achieve this ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Frontiers

Retrieving interpretability to support vector machine regression models in dynamic system identification

Interpretability of Support Vector Machine (SVM) or Neural Networks (NN) models, examples of black-box models, is a field of study that has recently gained attention, especially for the significant ...
Frontiers

Predictive modeling of airfoil aerodynamics via support vector machines

Forecasting aerodynamic coefficients of lift and drag is a crucial aspect of airfoil design and optimization in aerospace engineering. Among numerous desirable design features of the wing and/or ...
Visual Studio Magazine

Linear Support Vector Regression Using C# with Particle Swarm Training

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
Scientific Research Publishing

Hybrid Software Model for Defect Detection and Cost Evaluation Using Support Vector Machine Algorithm ()

Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...
Visual Studio Magazine

Linear Support Vector Regression from Scratch Using C# with Evolutionary Training

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
Scientific Research Publishing

Machine Learning-Based Classification of Coronary Heart Disease: A Comparative Analysis of Logistic Regression, Random Forest, and Support Vector Machine Models ()

1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...
POWER Magazine

The POWER Interview: Using Data, Device Models, and More to Support the Grid

Amanda Neuenfeldt is the energy management system (EMS) modeling lead engineer at Actalent, a global company specializing in engineering and sciences services, along with talent solutions. Neuenfeldt ...