IEEE

A Transformer Fault Diagnosis Method Based on Data Augmentation and IEVO-CNN

Abstract: Deep learning algorithms have become a trending approach for transformer fault diagnosis. However, challenges such as data imbalance leading to poor model learning performance and ...
IEEE

An Interpretable Hybrid CNN-SVM Model for Predicting Stress Among University Students

Abstract: Stress among university students can be defined as a state of mental tension caused by difficult academic endeavours. Nonetheless, stress at the tertiary (i.e., University) level has been ...
Opinion
Dot Physics on MSNOpinion

How to model a string with mass using Python

In this video, we show how to model a string with mass using Python, breaking down the physics, equations, and numerical approach step by step. Learn how to represent distributed mass, apply forces, ...
IEEE

Asymptotically Optimal Repair of Reed-Solomon Codes with Small Sub-Packetization under Rack-Aware Model

Most distributed storage systems (DSS) use erasure codes, particularly Reed-Solomon (RS) codes [1]–[4], to achieve maximum error correction capability under the ...
GitHub

newbpydev/mcp-diagnostics-extension

The MCP Diagnostics Extension bridges VS Code's powerful diagnostic system with the Model Context Protocol, enabling AI agents to access your code problems in real-time. Whether you're debugging ...
IEEE

Emotion Recognition from Speech Signals Using Hybrid CNN Model

Abstract: The fast growth of internet and communications networks has drastically enhanced data transport, allowing tasks like Speech Emotion Recognition (SER), an essential aspect of human-computer ...
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

An Ensemble Deep Learning Model Using CNN, LSTM and Autoencoder for EEG-Based Parkinson’s Disease Classification

Abstract: Parkinson's disease is a neurological disorder hat effects the movements including shaking, stiffness, difficulty while walking and speaking. This condition will occur when the nerve cells ...
IEEE

Pao-Ding: Accelerating Cross-Edge Video Analytics via Automated CNN Model Partitioning

Abstract: Cross-edge video analytics is a technology that involves collaborative processing of video data among multiple edge devices. To handle increasingly complex video analytics tasks on edge ...
IEEE

A Comprehensive Analysis of CNN-Based Deep Learning Models: Evaluating the Impact of Transfer Learning on Model Accuracy

Abstract: This paper conducts a comprehensive analysis of Convolutional Neural Network (CNN)-based deep learning models, focusing on the impact of transfer learning on their accuracy. Multiple ...