What is CNN in Deep Learning? The AI Behind Computer Vision

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...
IEEE

Edge AI-Based Detection for Defective Coffee Beans Using Deep Learning and Streamlit Framework

Abstract: Coffee is one of the most popular beverages nowadays. To ensure the quality of coffee beans, farmers must go through a sorting process to distinguish between normal and defective beans.
IEEE

A Novel Transformer-CNN Hybrid Deep Learning Architecture for Robust Broad-Coverage Diagnosis of Eye Diseases on Color Fundus Images

Abstract: We present a novel and robust deep-learning architecture that takes into account the pathological characteristics of eye diseases on color fundus images. The proposed hybrid architecture is ...
IEEE

SDCnet: A Deep Learning Network Model for Road Segmentation Based on CNN and Transformer

Abstract: Road segmentation is a key task in remote sensing semantic segmentation, and the existing deep learning methods still have the problems of insufficient fineness, difficulty in modeling ...
AV Club

CNN rebrands paywall as streaming service's Basic tier

CNN is giving that whole streaming service thing another go, and we’re finally getting some details about how it will work. Like pretty much every other major streamer at this point, CNN’s service ...
IEEE

Deep Learning-Augmented Sleep Spindle Detection for Acute Disorders of Consciousness: Integrating CNN and Decision Tree Validation

Abstract: Sleep spindles, which are key biomarkers of non-rapid eye movement stage 2 sleep, play a crucial role in predicting outcomes for patients with acute disorders of consciousness (ADOC).
Election

CNN’s Harry Enten Delivers Warning: Democrats in Deep Trouble for Midterms

CNN data analyst Harry Enten is offering a rough outlook for Democrats as the midterm season approaches. Recent polling, he says, shows Republicans holding a surprisingly steady edge on the issues ...
IEEE

Deep Learning-Driven Mobile Application for Rice Crop Disease Detection Using CNN

Abstract: This study presents a deep learning-based mobile app for rice crop disease detection using a MobileNetV2-based CNN model trained on a dataset of 4,700 rice leaf images. The app accurately ...