The Lancet

Corrigendum to “Deep learning enhanced ALPS reveals genetic and environmental factors of brain glymphatic function” [eBioMedicine 124 (2026) 106133] DOI: 10.1016/j.ebiom ...

aShenzhen Key Laboratory of Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China bDepartment of Medical ...
WLRN

In Pittsburgh, students with disabilities can rock climb to remedy learning loss

It's a mid-November day at ASCEND Climbing Gym on Pittsburgh's South Side, and an 11-year-old boy who's afraid of heights just made it to the top of a 12-foot boulder. "That is the very first time he ...
Scientific Research Publishing

Estimating the Rectified Linear Unit Activation Function in Deep Learning Using the Grouping-Adjusted Median Estimator: An Evaluation of Max Pooling ()

The Rectified Linear Unit (ReLU) activation function is widely employed in deep learning (DL). ReLU shares structural similarities with censored regression and Tobit models common in econometrics and ...
IEEE

Gradient-Aware Loss Function for Improved Learning in Speech Enhancement

Abstract: Conventional loss functions for gradient descent are designed mainly to assess output quality, with limited attention to gradient behavior. This study identifies the gradient inconsistency ...
IEEE

Time series forecasting with semantic-aware trend loss function

Abstract: Time-series forecasting (TSF) is becoming ubiquitous in numerous real-world applications. The loss function is a vital component of time-series forecasting models based on deep learning. The ...
GitHub

Ransomware Detection with Deep Learning

This project implements an advanced ransomware detection system using deep learning to identify ransomware attacks early by analyzing file access patterns, encryption behaviors, and system call ...
Scientific Research Publishing

Vanishing Gradients in an Artificial Deep Neural Network: The Impact of Activation Functions and Optimization Techniques ()

Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is the ...
Hosted on MSN

What Are Activation Functions in Deep Learning? Explained Clearly

Understand what activation functions are and why they’re essential in deep learning! This beginner-friendly explanation covers popular functions like ReLU, Sigmoid, and Tanh—showing how they help ...
eLife

Decoding molecular mechanisms for loss-of-function variants in the human proteome

Altmetric provides a collated score for online attention across various platforms and media. See more details Proteins play a critical role in cellular function by interacting with other biomolecules; ...