Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

A Rensselaer Polytechnic Institute (RPI) engineering professor, Shaowu Pan, Ph.D. and his team of students have integrated ...

Explore 2D linear drag by comparing analytical and numerical solutions in this clear and engaging physics tutorial. In this video, we break down the mathematics behind linear drag forces, demonstrate ...

Explore the physics behind 2D projectile motion under linear drag forces in this detailed tutorial! In this video, we break down how air resistance affects projectile trajectories, compare motion with ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Contemporary healthcare remains constrained by models grounded in linear causality, predictive logic, and biomedical reductionism—models that often fail to address the lived, relational, and spiritual ...

1 FASER Lab, Virginia Tech, Mechanical Engineering Department, Blacksburg, VA, United States 2 Autonomous Integrated Systems Research Branch, NASA Langley Research Center, Hampton, VA, United States ...

Abstract: For maglev applications driven by linear motors, the contactless power supply for the mover side is a significant challenge. The doubly-fed linear motor (DFLM), with its slip frequency as an ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...