New open-source Python-based software boosts space-weather modeling

University of Birmingham experts have created open-source computer software that helps scientists understand how fast-moving ...
IEEE

Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction

Abstract: Predicting remaining useful life (RUL) plays a crucial role in the prognostics and health management of industrial systems that involve a variety of interrelated sensors. Given a constant ...
The Boston Globe

50 years later, the movie ‘Network’ looks scarily prescient about television

The UBS News Hour had quite the lineup back in 1976. There was Sybil the Soothsayer, reading the future. Miss Mata Hari revealed her Skeletons in the Closet. And of course, there was the main ...
IEEE

Python-Integrated Quantum–Classical Computing Framework for Intelligent Time-Series Prediction

Abstract: Hybrid quantum–classical computing has become an attractive strategy for improving learning capability and predictive capacity in complex data environments. This work presents a ...
New Scientist

Quantum neural network may be able to cheat the uncertainty principle

The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...
Hosted on MSN

Deep neural network from scratch in Python – fully connected feedforward tutorial

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...
Hosted on MSN

Neural network Python from scratch with softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Frontiers

Neural networks and foundation models: two strategies for EEG-to-fMRI prediction

Electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) are two widely used neuroimaging techniques, with complementary strengths and weaknesses. Predicting fMRI activity from ...
C&EN

Multilevel Fusion Graph Neural Network for Molecule Property Prediction

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01525. Efficiency analysis of different normalization strategies ...
GitHub

trend-prediction

Recurrent Trend Predictive Neural Network (rTPNN): A neural network model to automatically capture trends in time-series data for improved prediction/forecasting performance FinTwitBERT: Specialized ...
Frontiers

Prediction of mechanical properties of steel fibre-reinforced concrete under elevated temperature using artificial neural network techniques (ann)

This study investigates the mechanical performance of Steel Fibre-Reinforced Concrete (SFRC) subjected to elevated temperatures using artificial neural network (ANN) modeling. While existing ...