Every Rongali Bihu, a video finds its way back onto the internet. A Nasa astronaut, draped in a white-and-red gamusa, the traditional Assamese towel that is as much a symbol of identity as it is a ...

In this Article, we present an ASR architecture based on two emerging in-materia computing paradigms. First, analogue time-domain feature extraction is achieved through a circuit that incorporates one ...

Convolutional neural networks (CNNs) are widely used in fault diagnosis of mechanical systems due to their powerful feature extraction and classification capabilities. However, the CNN is a typical ...

A 1D-CNN is a type of convolutional neural network that processes 1D sequential data instead of 2D images. It applies convolution operations across the sequence to extract meaningful patterns while ...

Deep learning shows promising results in extracting useful information from medical images. The proposed work applies a Convolutional Neural Network (CNN) on retinal images to extract features that ...

Emotion recognition using EEG signals enables clinicians to assess patients’ emotional states with precision and immediacy. However, the complexity of EEG signal data poses challenges for traditional ...

Each class includes 500 wav files with a length of about 30s. Vietnam Traditional Music (5 genres): https://www.kaggle.com/datasets/homata123/vntm-for-building-model ...

Cis-regulatory sequences regulate the expression of nearby genes. Recently, remarkable advances in our ability to predict the function of cis-regulatory sequences have been achieved by using ...

Coronary artery disease (CAD) is a prevalent disease with high morbidity and mortality rates. Invasive coronary angiography is the reference standard for diagnosing CAD but is costly and associated ...

A large Raman dataset collected on a variety of viruses enables the training of machine learning (ML) models capable of highly accurate and sensitive virus identification. The trained ML models can ...