Scientific Research Publishing

UWB NLOS Signal Recognition Based on Deep Learning ()

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
Yahoo

Rejuvenating neurons found to restore learning and memory

Add Yahoo as a preferred source to see more of our stories on Google. A brief gene pulse in learning-activated engram neurons restored memory in aged and Alzheimer’s-model mice. (CREDIT: Shutterstock) ...
The New York Times

Deep in China’s Mountains, a Nuclear Revival Takes Shape

In the lush, misty valleys of southwest China, satellite imagery reveals the country’s accelerating nuclear buildup, a force designed for a new age of superpower rivalry. One such valley is known as ...
EurekAlert!

Rejuvenating neurons restores learning and memory in mice

Age-related memory decline and neurodegenerative diseases like Alzheimer’s are often thought of as irreversible. But the brain is not static; neurons continually adjust the strength of their ...
The Conversation

Scientists once thought the brain couldn’t be changed. Now we know different

Senior Lecturer in Neurosciences and Neurorehabilitation, Course Leader in the College of Health and Life Sciences, London South Bank University For much of the 20th century, scientists believed that ...
Scientific Research Publishing

Pennington, J., Schoenholz, S.S. and Ganguli, S. (2017) Resurrecting the Sigmoid in Deep Learning Through Dynamical Isometry: Theory and Practice. Advances in Neural ...

ABSTRACT: 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 ...
earth

Depression may be caused by tiny DNA switches deep inside neurons

Scientists in Montreal have tied depression to specific changes inside two types of brain cells. Their map points to excitatory neurons that shape mood and microglia that manage inflammation.
Hosted on MSN

20 Activation Functions in Python for Deep Neural Networks – ELU, ReLU, Leaky-ReLU, Sigmoid, Cosine

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, Sigmoid, and more. #ActivationFunctions #DeepLearning #Python As shutdown ...
IEEE

Improved Brain Tumor Detection in MRI: Fuzzy Sigmoid Convolution in Deep Learning

Abstract: Early detection and accurate diagnosis are essential to improving patient outcomes. The use of convolutional neural networks (CNNs) for tumor detection has shown promise, but existing models ...
Frontiers

Sustainable deep vision systems for date fruit quality assessment using attention-enhanced deep learning models

Accurate and automated fruit classification plays a vital role in modern agriculture but remains challenging due to the wide variability in fruit appearances. In this study, we propose a novel ...
IEEE

SIGMO: Sigmoid Colon Cancer Prediction Using Machine Learning and Deep Learning

Abstract: Many sigmoid colon cancer prediction systems rely on traditional methods, which are prone to human error and ineffective in spotting minute variations ...