HONG KONG, July 11, 2025 (EZ Newswire) -- Math Magic has officially launched Hitem3D, the world’s first AI-powered tool for ...

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...

A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...

The TinyML Foundation’s work, along with that of Silicon Labs, helps users explore new use-cases and challenges that embedded ...

A hierarchical classification model based on a 1D convolutional neural network (CNN) was proposed for signal analysis, and K-fold cross-validation was used to train and validate the model. Unlike ...

Wang et al. (Wang et al., 2020) developed an end-to-end cubic convolutional neural network that integrates Principal Component Analysis with 1D convolution for efficient extraction of spatial and ...

MF bank classifier, 1D Convolutional Neural Networks (CNNs) and the minimum distance classifier using spectral-domain features (the skewness, the kurtosis, and the energy of the dominant frequency) ...

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In this study, a one-dimensional convolutional neural network (1D-CNN) was established by using PPG signals for the recognition of SAS, with a classification accuracy of over 90%. The results indicate ...

What Are Convolutional Neural Networks? Neural networks are systems, or structures of neurons, that enable AI to better understand data, allowing it to solve complex problems. While there are numerous ...