Abstract: To avoid system failures in medium-voltage DC distribution system (MVDC-DS) caused by excessive power interactions with AC grid at a modest communication burden, this paper proposes a ...

BY SEAN WILLIAMS, PhDSanta FeActually, I won’t use the term AI. It’s too broad: it can mean anything from zero-player tic-tac ...

The researchers have developed a new approach to making biometric presentation attack detection (PAD) resistant to demographic bias.

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under disturbances while maintaining stability.

Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.

Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and ...

Four-wheeling has never been safer with comprehensive systems like hill descent control. But how does HDC keep you from ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...

This repository explores the concept of Orthogonal Gradient Descent (OGD) as a method to mitigate catastrophic forgetting in deep neural networks during continual learning scenarios. Catastrophic ...

“When I go very fast and attack the downhill, I take a risk,” says four-time Grand Tour winner Vincenzo Nibali. “It’s normal. It’s my work.” “You play with your life,” adds Fabian Cancellara, one of ...