IEEE

Clarity-Optimized Wavelet With Autoencoder- ReliefF Ranking for Enhanced UHF PD Signal Feature Extraction

Abstract: This article investigates advanced signal processing methodologies, with a focus on wavelet-based techniques, for the analysis of time-domain partial discharge (PD) signals captured using ...
GitHub

nelson820125/jordium-gantt-vue3

jordium-gantt-vue3 是一个基于 Vue 3 和 TypeScript 开发的现代化甘特图组件，专为项目管理和任务调度场景设计 ...
IEEE

Study of a Hybrid CNN-SVM Model for Stress Detection with Automated Heart Rate Variability Feature Extraction Method

Abstract: In the era of big data, stress detection techniques based on electrocardiogram (ECG) data play a crucial role in monitoring mental health and preventing mental disorders. Given that the ...
IEEE

A Unified Framework Combining Feature Extraction and Reward Estimation for Cognitive Radar Policy Prediction

Abstract: The increasingly flexible decision-making process of modern cognitive radar (CR) systems has placed considerable challenges on electronic reconnaissance systems or radar warning receivers, ...
SiliconANGLE

Startup Woz raises $6M to build an ‘AI app factory’ that combines agentic and human expertise

Mobile application development startup Woz Inc. has raised $6 million to take on the emerging “vibe coding” industry with an alternative platform that’s said to combine generative artificial ...
IEEE

Enhanced Skin Cancer Diagnosis Using a CAD System with CNN Feature Extraction and GKSO-Optimized Classification

Abstract: Early detection of skin cancer significantly improves treatment success, reduces mortality, and enhances patient outcomes. Traditional detection procedures, such as visual inspection and ...
IEEE

Advancing EEG Analysis: A Novel Graph Signal Processing Approach for Optimal Feature Extraction in Parkinson’s Disease Detection

Abstract: Graph Signal Processing (GSP), an emerging field, provides a flexible framework to model and analyze Electroencephalogram (EEG) sensor data that exhibit intricate relationships and ...
IEEE

CNN-LSTM Hybrid Model for Predicting Strength and Durability of Steel-Concrete Composite Structures

Abstract: Steel-concrete composite structures are widely used in industrial and civil infrastructure due to their better structural performance. Composite constructions let engineers maximise the ...
GitHub

Kernel not connecting to Python or Jupyter after latest VS Code update

After updating to the latest version of Visual Studio Code (October 2025 update), Jupyter notebooks no longer connect to the Python kernel. Both Python and Jupyter work perfectly fine when launched ...
IEEE

Enhancing the Audio MNIST Classification Process Through the Extraction of Temporal Features Through the Application of 1D-CNN and Attention Mechanisms

Abstract: The primary goal of this work is to improve Audio MNIST spoken digit categorization. Attention approaches extract and highlight temporal information in audio streams using 1D convolutional ...
IEEE

A CNN-Transformer Approach for Image-Text Multimodal Classification with Cross-Modal Feature Fusion

Abstract: This study proposes an image-text multimodal classification algorithm based on a combination of convolutional neural networks (CNN) and Transformer, aiming to solve the key problems in ...
IEEE

Deep Hybrid Models in Medical Imaging: CNN-SVM-Based Lung Cancer Detection with Statistical Insights

Abstract: Lung cancer stands as one of the leading deadly malignancies across the globe which demonstrates why early identification through accurate diagnosis procedures is so important. The authors ...