IEEE

A Hybrid Approach Using CNN Feature Extraction and SVM/XGBoost for Lung Nodule Classification

Abstract: Early detection of lung cancer is highly beneficial for patient survival. This paper proposes a hybrid deep learning diagnostic pipeline for pulmonary nodules in chest CT. We constructed a ...
IEEE

Hybrid Feature Extraction and Deep Learning Framework for Power Transformer Fault Classification: A Real-World Case Study

Abstract: Reliable fault diagnosis in power transformers is paramount for ensuring grid stability and safeguarding critical assets. This paper proposes a novel deep learning-based diagnostic framework ...
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 ...
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

Hybrid Visual Feature Extraction for Goldfish Image Classification Using K-Nearest Neighbor

Abstract: (KNN) algorithm based on the extraction of visual characteristic features such as color, shape, texture, and spatial frequency. The dataset consists of 1,500 images categorized into three ...
IEEE

Human Age Group Classification Using CNN and Vision Transformer-Based Feature Extraction

Abstract: The human face reveals significant information about an individual’s identity, age, gender, emotion, and ethnicity. In face-to-face communication, age plays a vital role, influencing ...
IEEE

PCP: A Prompt-Based Cartographic-Level Polygonal Vector Extraction Framework for Remote Sensing Images

Abstract: Accurate cartographic-level polygonal vector extraction from remote sensing images is crucial for land survey and land cover mapping. However, current deep learning-based segmentation models ...
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 ...
Local News 8

Inside the operation: How the US moved to capture Nicolás Maduro

(CNN) — It was just like watching television. Huddled in a draped-off room at Mar-a-Lago around screens set up for his viewing pleasure — including, according to photos released by the White House, a ...
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, ...
Comicbook.com

One-Punch Man Season 3 Visual Reignites the Anime’s Biggest Complaint (& Doesn’t Bode Well for Part 2)

One-Punch Man is returning for Season 3, Part 2 in 2027, and the visual used for this announcement is reigniting the biggest complaint about the series — and raising concerns about the next batch of ...
IEEE

Pattern-Based Feature Extraction for Improved Deep Learning in Financial Time Series Classification

Abstract: In this paper, the authors introduce a novel feature extraction method based on pattern detection in financial data to enhance the performance of deep learning models for financial time ...