Tech Xplore

Software engineering: How hybrid delivery systems adapt to real-world challenges

New research into project management in software engineering shows that the most successful systems are not the ones that ...
Tech Xplore

Turning city traffic into a computer: Novel approach to AI could slash energy demands

What if traffic could compute? This may sound strange, but researchers at Tohoku University's WPI-AIMR have unveiled a bold ...

Threat hunters can’t waste time stumbling in the dark – they need real observability

The NCSC stresses that organizations cannot hunt for threats they cannot see, and traditional indicators of compromise are no ...
Devdiscourse

Satellite cyber threats are escalating and AI is becoming the only viable shield

Satellite networks are a form of critical infrastructure whose failure can cascade across multiple sectors. Modern societies ...
IEEE

Emotion Recognition from EEG Signals Using a Hybrid Deep Learning Approach

Abstract: In recent years, the rise of advanced machine learning techniques has led to an increase in research on brain-computer interfaces. It’s considered a multifaceted challenge to develop ...
Frontiers

The mediating role of psychological resilience in the relationship between deep learning approach and mathematical creativity: integrating structural equation model and network ...

Background: Previous scholars have conducted a series of explorations on the relationship between learning approaches and mathematical creativity, but it remains unclear how deep learning approach ...
IEEE

Hybrid Deep Learning and Fractional Brownian Motion Approach for Probabilistic RUL Prediction in Industrial Equipment

Abstract: Accurate prediction of the remaining useful life (RUL) constitutes the core task of predictive maintenance, and the selection of an appropriate degradation model is pivotal to enhancing the ...
C&EN

GGCRB: A Graph Neural Network Approach for Predicting CircRNA–RBP Interactions Using Structural and Sequence Features

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The interaction between circular RNAs (circRNAs) and RNA-binding proteins (RBPs) plays ...
Frontiers

A deep-learning approach to predict reproductive toxicity of chemicals using communicative message passing neural network

Reproductive toxicity is a concern critical to human health and chemical safety assessment. Recently, the U.S. Food and Drug Administration announced plans to assess toxicity with artificial ...
Scientific Research Publishing

Hybrid PINN-LSTM Model for River Temperature Prediction: A Physics-Informed Deep Learning Approach ()

This study proposes a hybrid modeling approach that integrates a Physics Informed Neural Network (PINN) and a long short-term memory (LSTM) network to predict river water temperature in a defined ...