IEEE

SketchAging: Face Photo-Sketch Synthesis and Aging With Multi-Scale Feature Extraction

Abstract: With the rapid development of Generative Adversarial Networks (GANs), facial sketch generation and age transformation have advanced considerably. These technologies show great potential in ...
IEEE

Privacy-Preserving Distributed Fault Diagnosis for Multiple Wind Farms Using a Federated Feature Fusion Method

Abstract: While data-driven methods have gained prominence in wind turbine fault diagnosis, their effectiveness is increasingly constrained by the proliferation of data silos. This phenomenon ...
IEEE

Human Age Group Classification Using CNN and Vision Transformer-Based Feature Extraction

Abstract: The human face reveals significant information about an individual’s identity, age, gender, emotion, and ethnicity. In face-to-face communication, age plays a vital role, influencing ...
IEEE

Hybrid Feature Extraction and Mamba Fusion for Multi-modal Remote Sensing Image Classification

Abstract: Multi-modal remote sensing image classification has emerged as a research focus. Mamba, characterized by linear computational complexity, has demonstrated potential in remote sensing image ...
USA Today

Avalanche survivors used this obscure iPhone feature to get help

Survivors of the catastrophic avalanche in California's Sierra Nevada that claimed at least eight lives were rescued after using an emergency feature available on some iPhones. The iPhone emergency ...
IEEE

A Cnn Approach for Accurate Stroke Diagnosis Using Brain Computed Tomography Imaging

Abstract: Stroke detection from medical imaging, which is essential for early diagnosis and prompt intervention, greatly impacts patient outcomes. In this study, provide a technique that uses ...
IEEE

Hyperparameter Optimization of CNN Models for Plant Leaf Disease Classification Using Optuna

Abstract: Leaf diseases are a major challenge for agricultural productivity, requiring accurate and efficient detection methods. This research presents an effective method for multi-class ...
IEEE

Evaluating CNN-BiLSTM for Sentiment Classification in Indonesian App Reviews: The Role of Label Granularity and Lexicon Features

Abstract: This study explores the effectiveness of a CNN-BiLSTM model for sentiment classification on Indonesian-language app reviews. Using a dataset of over 225,000 Gojek user reviews, two label ...
IEEE

Brain Cancer MRI Classification using CNN Architectures with Grid Search Enhanced with Coordinate Ascent Optimization

Abstract: Magnetic resonance imaging (MRI) is an important tool for brain cancer diagnosis and classification. Combined with modern convolutional neural network (CNN) technology, it can effectively ...
Yahoo

CNN's Tapper Confronts Markwayne Mullin For Claiming Trump Isn't Using The DOJ 'For Political Leverage'

Add Yahoo as a preferred source to see more of our stories on Google. President Trump urges college sports leaders to return to pre-NIL era: 'I'd like to go exactly back to what we had and ram it ...
IEEE

A Lightweight Detection Method for Atrial Fibrillation Using Clustering Feature Extraction on Wearable Devices

Abstract: Atrial fibrillation (AF) is a common arrhythmia. The accuracy and efficiency of detection for wearable electrocardiogram (ECG) devices are limited by noise interference and poor data quality ...
IEEE

Advancing Drug-Drug Interaction Prediction using Multi-Modal Feature Integration with Graph Neural Networks

Abstract: Pharmaceutical treatments are essential for managing medical conditions, but drug-drug interactions (DDIs) pose significant risks. This research integrates Knowledge Graphs and Graph Neural ...