CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Input Audio (16kHz) ↓ [CC Encoder] ├─→ Short-context stream (10ms stride) → 64-D features (Cs) └─→ Long-context stream (40ms stride) → 64-D features (Cl) ↓ [Quantization] (1-bit delta modulation) ↓ ...

ABSTRACT: This study presents a comparative analysis of two distinct machine learning approaches for multilingual text identification: character-level neural networks (CNN/RNN) and traditional Naive ...

Abstract: Deep learning-based speech enhancement methods have significantly improved speech quality and intelligibility. Convolutional neural networks (CNNs) have been proven to be essential ...

QUANTICO, VIRGINIA - SEPTEMBER 30: U.S. President Donald Trump speaks to senior military leaders at Marine Corps Base Quantico on September 30, 2025 in Quantico, Virginia. In an unprecedented ...

This study aims at developing ring current proton flux models using four neural network architectures: a multilayer perceptron (MLP), a convolutional neural network (CNN), a long short-term memory ...

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...

Background In an ophthalmology emergency department, determining treatment urgency is crucial for patient safety and the efficient use of resources. The aim of this study was to use artificial ...