EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

Out of the nine under-$350 espresso machines I tested, two delivered the richest and most well-balanced espresso shots.

Detection of plant leaf disease is crucial for achieving good yields and maintaining crop health. This early identification aids farmers who may not be familiar with all crop diseases by notifying ...

Deepfake technology presents significant threats to digital security, misinformation, and privacy. A Convolutional Neural network-based deepfake video detection in real time using optimization ...

The rise of social media has led to an increase in real-time data that can reveal potential cyber threats. This research explores the use of emotion detection in tweets to predict cyber attacks, ...

An Efficient Encoding Spectral Information in Hyperspectral Images for Transfer Learning of Mask R-CNN for Instance Segmentation of Tomato Sepals ...

Cancer, a disease that does not discriminate; impacting people from all walks of life. Numerous types of cancer affect humans, each with distinct characteristics and treatment approaches. One of the ...

CNN’s Aaron Blake assessed polling earlier last month that showed surprisingly comparative polling data among Republicans for Musk and Trump – at least before their latest bust-up.

The administration moves quickly to rebut CNN’s report about the Iran strike.

Deep Learning for Cardiovascular Disease Detection: Comprehensive study on CNN and Random Forest based Hybrid Approach Abstract: heart diseases are one of the leading causes of morbidity and mortality ...

Urban Rail Transit (URT) accidents not only seriously affect the safety and reliability of its operations, but also reduce service level to passengers. Based on historical URT accident data, this ...

This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data from the ...