IEEE

Enhanced CNN Architecture with Residual Blocks and Regularization for AI-Generated Image Detection

Abstract: The growing popularity of social networks has led to an unprecedented surge in the number of digital images shared daily. As a result, ensuring the authenticity of these images has become a ...
IEEE

Fine-Grained Feature Extraction in Key Sentence Selection for Explainable Sentiment Classification Using BERT and CNN

Abstract: Online product reviews provide valuable insights into customer sentiment toward products; however, they often contain multiple sentences with redundant and non-essential content, making it ...
IEEE

A Semantic Transferable Feature Extraction Strategy for Cross-Domain Detection

Abstract: Surface defect detection is important for ensuring industrial manufacturing quality. Convolutional neural networks significantly improve the detection performance. However, surface defects ...
IEEE

MonoICT: A Monocular 3-D Object Detection Model Integrating CNN and Transformer

Abstract: In the field of autonomous driving, 3-D object detection is a crucial technology. Visual sensors are essential in this area and are widely used for 3-D object detection tasks. Recent ...
IEEE

A Hybrid Machine Learning Approach Utilizing CNN Feature Extraction with Traditional Classifier to Identify Strawberry Leaf Diseases

Abstract: Strawberry production is globally significant because it contains high nutrients. Strawberry leaf disease shapes a significant barrier to strawberry cultivation worldwide. Numerous ...
IEEE

YOLOv10n-Based Defect Detection in Power Insulators: Attention Enhancement and Feature Fusion Optimization

Abstract: In modern power systems, insulators, as key components of transmission lines, are crucial for defect detection for the safe operation of power grids. Aiming at the problems of low efficiency ...
IEEE

RoBERTa-Based Multi-Feature Integrated BiLSTM and CNN Model for Ceramic Review Analysis

Abstract: To address the limitation that the Robustly Optimized BERT Pretraining Approach (RoBERTa) may not effectively capture local dependencies and salient features within the text, we propose a ...
IEEE

Multilayer Feature Extraction Object Detection Based on Deep Forest

Abstract: With the emergence of various large-scale deep-learning models, in remote sensing images, the object detection effect is also plagued by complex calculations, high costs, and high ...
IEEE

Hierarchical Feature Fusion CNN: Fast Intra Prediction Mode Decision for VVC Screen Content Coding

Abstract: Versatile Video Coding (VVC) inherits Screen Content Coding (SCC) tools such as Intra Block Copy (IBC) and Palette mode (PLT) from High Efficiency Video Coding Screen Content Coding ...
IEEE

Vitamin Deficiency Detection Using CNN-Based Image Analysis of Skin, Tongue and Nails

Abstract: Vitamin deficiency is a widespread global health issue that affects millions, often leading to severe physiological and dermatological complications. Early detection is essential for timely ...
IEEE

Infrared Small Target Detection via Diverse Feature Harmonization

Abstract: Infrared small target detection (IRSTD) faces significant challenges due to low signal-to-noise ratios, poor contrast in infrared images, and the tendency for small and dim targets to be ...
IEEE

MHAFF: Multihead Attention Feature Fusion of CNN and Transformer for Cattle Identification

Abstract: Convolutional neural networks (CNNs) have drawn researchers’ attention to identifying cattle using muzzle images. However, CNNs often fail to capture long-range dependencies within the ...