IEEE

Graph-Based Radiomics Feature Extraction From 2D Retina Images

Abstract: Medical image analysis offers valuable visual support for clinical decision-making, yet the incorporation of quantitative data is essential for deeper diagnostic insight. The radiomics ...
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

UAGLNet: Uncertainty-Aggregated Global-Local Fusion Network with Cooperative CNN-Transformer for Building Extraction

Abstract: Building extraction from remote sensing images is a challenging task due to the complex structure variations of the buildings. Existing methods employ convolutional or self-attention blocks ...
IEEE

FeRF-BEVIO: A Feature Radiance Field-Based Bidirectionally Enhanced Visual-Inertial Odometry

Abstract: To address the issues of inaccurate feature association and insufficient utilization of the complementarity between the visual and inertial information in visual-inertial navigation systems, ...
IEEE

Data-Driven Open-Circuit Fault Diagnosis for PMSM Drives: Feature Extraction via Normalized Current Space Vector Sorting

Abstract: Open-circuit faults in three-phase voltage source inverters can cause unbalanced currents, high torque ripple, and excessive core losses in permanent magnet synchronous machines. To ...
Clayton News

CNN’s Scott Jennings Hits Back at Trump Kennedy Center Critics

CNN’s conservative commentator made the statement on Friday’s (December 19) edition of CNN NewsNight With Abby Phillip while the panel was discussing Trump’s plan to rename the iconic performing arts ...
IEEE

Lightweight Semantic Feature Extraction Model With Direction Awareness for Aerial Traffic Object Detection

Abstract: The detection of traffic objects in aerial scenes holds significant application potential in both military and civilian sectors. However, current aerial traffic object detection techniques ...
IEEE

DINO-VO: A Feature-Based Visual Odometry Leveraging a Visual Foundation Model

Abstract: Learning-based monocular visual odometry (VO) poses robustness, generalization, and efficiency challenges in robotics. Recent advances in visual foundation models, such as DINOv2, have ...
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

Electromyography-Based Gesture Recognition With Explainable AI (XAI): Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamics

Abstract: Hand gesture recognition using multichannel surface electromyography (sEMG) is challenging due to unstable predictions and inefficient time-varying feature enhancement. To overcome the lack ...
GitHub

TWIX: Reconstructing Structured Data from Templatized Documents

TWIX is a tool for automatically extracting structured data from templatized documents that are programmatically generated by populating fields in a visual template. TWIX infers the underlying ...
IEEE

Multi-Scale CNN Architectures for Enhanced Feature Extraction in Image Sentiment Analysis

Abstract: Imagery sentiment analysis is a complex task, the aim of which is the interpretation of both local and global visual signs in order to correctly classify the emotions ordered by the image.