IEEE

Optimizing Hybrid Classification Using 1D-CNN and LSTM for EEG-Based Emotion Recognition

Abstract: This research aims to enhance the ability of computers to classify emotional states from brain signals using EEG data. Emotions are complex mental states that can significantly affect a ...
IEEE

Enhancing Medical Image Super-Resolution Using CNN and GAN Approaches

Abstract: Improving the resolution of medical images is an important task in ensuring trustworthy diagnosis and effective monitoring of diseases. Of the newest deep learning algorithms, Convolutional ...
IEEE

A Comparative Study for Yemeni Poets Detection Using TEXT-CNN and RNN-LSTM Text Classification

Abstract: The growing prevalence of internet usage has led to a substantial capacity in textual data. Text classification is an essential field in natural language processing (NLP). It differs in ...
IEEE

Hybrid CNN-ViT Model for Intracranial Hemorrhage Detection and Classification in DICOM Images

Abstract: Intracranial hemorrhage (ICH) refers to bleeding within the brain, a global concern that underscores the im-portance of early detection. ICH is typically detected using computed tomography ...
IEEE

Design of an improved model for real-time fault detection and localization using hybrid transformer-CNN and graph neural networks

Abstract: Accurate real-time fault detection, localization, and classification techniques are necessary to maintain grid stability and prevent faults. Traditional techniques have low accuracy rates, ...
IEEE

Fully Perturbed Self-Ensemble Framework using Cascaded Parallel CNN-Transformer for Semi-Supervised Medical Image Segmentation

Abstract: Semi-supervised learning (SSL) has achieved remarkable progress in the field of medical image segmentation (MIS), but it still faces two main challenges. First, the consistency learning ...
IEEE

A CNN-Based Approach for Freshness Classification of Fruits and Vegetables

Abstract: Fresh storage of fruits and vegetables is crucial for minimising waste, consumer health, and quality of food. Produce freshness classification can greatly improve supply chain effectiveness ...
IEEE

BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation

Abstract: Accurate medical image segmentation is vital for clinical quantification, disease diagnosis, treatment planning, and other applications. Convolution-based U-shaped architectures excel at ...
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

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. Winter Olympics 2026: Alysa Liu has 'no plans to leave' figure skating, but will she target 2030 Olympics in France?
The Washington Post

New images of White House ballroom show clearest look yet at Trump project

New renderings shared Friday offer the clearest look yet at President Donald Trump’s proposed White House ballroom addition — a project advancing even as it is challenged in court and questioned on ...