Deep Learning Model Achieves 93.52% Accuracy in Ancient Ge’ez Manuscript Recognition
Researchers from Ethiopia have developed a deep convolutional neural network capable of recognizing characters in ancient Ethiopic Ge'ez manuscripts with ...
Tag: neural
Brain Imaging Reveals Reduced Neural Attenuation During Fear Extinction in Anxiety Disorders
A delayed functional neuroimaging study reveals that individuals with anxiety disorders show impaired neural attenuation across both threat and safety ...
Two Control Strategies Achieve Exponential Synchronization in Delayed Memristive Neural Networks
Researchers demonstrated that time-delay feedback and event-triggered controllers achieve exponential synchronization in memristive neural networks with distributed delays.
Millimeter-Wave Directed Energy Induces Severe Protein Degradation in Cultured Neural Cells
Exposure to 34.14 GHz millimeter-wave directed energy causes spatially graded neural cell injury characterized by cytoskeletal protein degradation, membrane permeabilization, ...
Brain synchrony in frontal region tracks suicidal thinking severity in self-harming teens
Lower spontaneous neural synchrony in the right orbital inferior frontal gyrus was associated with more severe suicidal ideation among 64 ...
Modified Quantum Neural Network Enhances Modeling of Nonlinear Dynamic Systems
A modified quantum neural network architecture achieves faster convergence and lower error when modeling nonlinear dynamic systems in benchmark simulations.
Quantum Convolutional Networks Classify Images Directly on Superconducting Hardware
A 49-qubit fragment-encoded quantum convolutional neural network running on IBM's Heron r2 processor classified full-resolution images without classical preprocessing.
Stealth Spread-Spectrum Watermarks Shield Neural Networks From Model Theft
In response to these persistent vulnerabilities, a research team led by Dorjan Hitaj, Fabio De Gaspari, Flavio Corsetti, Giulio Pagnotta, ...
Spiking Neural Networks Enhance Multimodal EEG and fMRI Brain State Decoding
Biologically inspired spiking neural network frameworks that integrate simultaneous EEG and fMRI data significantly outperform unimodal fMRI in decoding resting-state ...
Neural Network Method Pinpoints Landslide Loads on Buried Pipelines
A physics-informed neural network framework reconstructs landslide-induced loads on buried pipelines from sparse monitoring data with errors below 0.2% in ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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