IEEE

LSTA-CNN: A Lightweight Spatiotemporal Attention-Based Convolutional Neural Network for ASD Diagnosis Using EEG

Abstract: Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful ...
IEEE

FCTFANet: A Fused CNN-Transformer Feature Aggregator Network for Image Restoration

Abstract: Convolutional neural networks (CNNs) have been foundational in deep learning architectures for image processing, and recently, Transformer networks have emerged, bringing further ...
IEEE

Robust Image Steganography Approach Based on Edge Detection Combined With CNN Algorithm

Abstract: Image steganography conceals secret data within a cover image to generate a new image (stego image) in a manner that makes the secret data undetectable. The main problem in image ...
IEEE

Hybrid CNN and Transformer-Based Sequential Learning Techniques for Plant Disease Classification

Abstract: Plant diseases have important consequences for livelihoods and economies, both on local and global scales, whereby the spread of plant pathogens can lead to high levels of damage to ...
IEEE

Efficient Classification of Photovoltaic Module Defects in Infrared Images

Abstract: Photovoltaic (PV) modules are crucial components in solar power generation, where their efficiency and safety can be compromised by various defects. Infrared images of PV modules can be used ...
IEEE

Evolutionary Neural Architecture Search for Remote Sensing Image Classification

Abstract: Remote sensing scene classification is a vital task in remote sensing image analysis with significant application potential. In recent years, convolutional neural network (CNN)-based methods ...
IEEE

A Tree-Guided CNN for Image Super-Resolution

Abstract: Deep convolutional neural networks can extract more accurate structural information via deep architectures to obtain good performance in image super-resolution. However, it is not easy to ...
IEEE

Hybrid CNN-Based Transfer Learning Enhances Brain Tumor Classification on MRI Images

Abstract: Brain tumors are among the deadliest diseases worldwide and require early and accurate diagnosis via Magnetic Resonance Imaging (MRI). Deep learning techniques, particularly convolutional ...
CNN

Trump hires new architect for White House ballroom amid clashes over project

President Donald Trump has hired a new architect for the White House ballroom amid disputes between the president and the architect originally contracted to complete the project, several sources have ...
CNN

James Solomon wins Jersey City mayor’s race, denying Jim McGreevey a political comeback, CNN projects

City councilman James Solomon will become the next mayor of Jersey City after winning Tuesday’s runoff, according to a projection from CNN’s Decision Desk. Solomon’s victory denies a comeback attempt ...