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

Temporal-Spatial Feature Extraction in IoT-Based SCADA System Security: Hybrid CNN-LSTM and Attention-Based Architectures for Malware Classification and Attack Detection

Abstract: This research presents a Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) model developed for malware classification from IoT devices in the SCADA system and for ...
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

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 ...
IEEE

Deep Learning Based Underwater Image Enhancement Using Hybrid CNN GAN Approach with Self Attention Mechanism

Abstract: Marine exploration, environmental monitoring as well as autonomous underwater vehicles need underwater imaging, however, it is severely degraded by light absorption, scattering and color ...
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 ...
IEEE

Development of Robust CNN Architecture for Grading and Classification of Renal Cell Carcinoma Histology Images

Abstract: Kidney cancer is a commonly diagnosed cancer disease in recent years, and Renal Cell Carcinoma (RCC) is the most common kidney cancer responsible for 80% to 85% of all renal tumors. The ...