Frontiers

Artificial intelligence and deep learning for neural data analysis

Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...
IEEE

A Multimodal Deep Learning Model Integrating CNN and Transformer for Predicting Chemotherapy-Induced Cardiotoxicity

Abstract: Chemotherapy-induced cardiotoxicity presents a major risk to cancer patients, often leading to severe cardiac complications such as heart failure, myocardial infarction, and arrhythmias.
WRAL

How CNN conducted its deep dive into independent US adults

(CNN) — The CNN poll conducted by SSRS was designed to offer a deep-dive look at the different types of independents that make up this critical group in American politics. (CNN) — The CNN poll ...
IEEE

Optimized CNN-Based Deep Learning for ECG Signal Classification in IoT Healthcare Monitoring Systems

Abstract: The suggested technique improves ECG signal categorization by combining Particle Swarm Optimization (PSO) with Convolutional Neural Networks (CNN). Extracting features and categorization are ...
IEEE

Tech-CNN: Deep Learning-Based Framework With Stacked Sequence Encoding for Predicting the Growth Potential of Technologies

Abstract: This paper presents an enhanced deep learning-based prediction framework, Tech-CNN, designed to predict the future trajectory of emerging technologies based on academic publication data. The ...
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 ...
ZDNet

7 Linux terminal basics every beginner should learn first - and why

The Linux terminal isn't nearly as hard as you think. Understanding the fundamentals will help get you started. These concepts apply to all Linux distributions. When many think about Linux, they think ...
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 ...