Frontiers

Computational Methods and Data-Driven Approaches in Cardiovascular Modeling

Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...

Analyzing avalanches on asteroid Vesta offers new method for understanding regolith processes

A study conducted at the Institut de Physique du Globe de Paris uses images from NASA's Dawn mission and a Bayesian inversion of the Hapke photometric model to analyze avalanches and ejecta deposits ...
IEEE

Fusion Analysis of EEG-fNIRS Multimodal Brain Signals: A Multitask Classification Algorithm Incorporating Spatial-Temporal Convolution and Dual Attention Mechanisms

Abstract: Brain–computer interface (BCI) is an important way of human-computer interaction, with the ability to monitor brain states, and it has become an increasingly significant research direction.

The Hidden Funnel: Your Dashboard Says You’re Winning But AI May Say Otherwise

AI is reshaping customer discovery long before users reach your website. Here's why traditional analytics miss critical ...
Scientific Research Publishing

On Instability of Standing Waves for the Hartree Equation with a Magnetic Field ()

In this paper, we consider the strong instability of standing waves for the Hartree equation with a constant magnetic field.
The Manila Times

WiMi Develops Quantum Convolutional Neural Network Model for Classical Data Classification

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...
AlphaGalileo

When Old Data Gains New Relevance: Historical Study on Brain Convolutions Confirmed After 150 Years - Renate Schweizer and her team receive the Replication …

When the Göttingen anatomist Rudolf Wagner examined a brain in 1856 that was later mistakenly believed to be that of the ...
Nature

A digital twin-assisted fault diagnosis method for stage lifts based on lightweight multi-scale convolution and broadcast self-attention mechanisms

To address the challenges of scarce abnormal data and limited model applicability in stage lift fault diagnosis, this study proposes a Digital Twin (DT)-assisted method that integrates virtual ...
Nature

Remaining useful life prediction method based on gated dilation causal convolution

Rolling bearings are a crucial element of rotating mechanical equipment. Therefore, predicting the remaining useful life (RUL) of this equipment is vital. Monitoring data for rolling bearing operation ...
GitHub

An Adaptive and Scalable Convolution Framework for Low-Light Image Enhancement via Analytic Functions Subordinate to Laguerre Polynomials

You are not limited to the LOL dataset. You can place any images in source/low/. The algorithm will process whatever files it finds there: Why 64? 64 = 128/2: one exposure stop below the perceptually ...
GitHub

A Computationally Optimized and Dynamically Refined Framework for Structure-Preserving Low-Light Image Enhancement via Hermite Polynomial Analytic Functions

You are not limited to the LOL dataset. You can place any images in source/low/. The algorithm will process whatever files it finds there: Why 64? 64 = 128/2: one exposure stop below the perceptually ...
HR Dive

Making people analytics more intelligent: How to build the business case for AI-powered people insights

Let’s say you want to introduce a people analytics function or technology to your company for the first time. Or maybe you want to upgrade or expand your company’s people analytics tools. In either ...