Frontiers

Evolutionary algorithm-optimized feature fusion for accurate classification of shredded tobacco using multi-sensor data

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...
IEEE

ECG Classification Based on QRS Filtering and BiLSTM Neural Networks

Abstract: Cardiovascular disease (CVD) is one of the biggest threats to global health, including a variety of health problems affecting the heart and blood vessels, and has high morbidity, disability ...
Scientific Research Publishing

Zhang, X., Zhao, J.B. and LeCun, Y. (2015) Character-Level Convolutional Networks for Text Classification.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
Phys.org

Researchers develop neural network for large-scale celestial object classification

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...
Frontiers

High-accuracy lung sound classification for healthy versus unhealthy diagnosis using artificial neural network

In recent years, advancements in machine learning and electronic stethoscope technology have enabled high-precision recording and analysis of lung sounds, significantly enhancing pulmonary disease ...
IEEE

Ovarian Cyst Classification and Abnormality Detection Using Convolutional Neural Networks

Abstract: This project aims to develop a deep learning network-based computer-aided diagnostic (CAD) system for the categorization and anomaly detection of ovarian cysts. There are 1319 ultrasound ...