IEEE

A Hybrid CNN-LSTM Model with Signal Decomposition for Multi-Step Electrical Load Forecasting

Abstract: Accurate power load forecasting is a cornerstone for the reliable operation and economic dispatch of modern power grids, particularly as the integration of Variable Renewable Energy ...
GitHub

Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning

Welcome to the official codebase for Franca (pronounced Fran-ka), the first fully open-source vision foundation model—including data, code, and pretrained weights. Franca matches or surpasses the ...
IEEE

Enhanced Time-Series Activity Recognition with a Hybrid CNN-SVM Model: Insights from Wearable Sensor Analysis

Abstract: The fundamental requirement of time-series activity detection that uses wearable sensors spreads across healthcare monitoring alongside fitness tracking and smart environments applications.
GitHub

BC Code Intelligence MCP Server

Get instant help from AI Business Central experts right in your favorite AI tool. No more searching docs - just ask and get expert guidance tailored to your specific BC development challenges. If ...
IEEE

Hybrid CNN-LSTM Model for EEG-Based Emotion Recognition: A Comparative Analysis Using DEAP and SEED Datasets

Abstract: EEG-based emotion recognition experiences complications due to its high-dimensionality and often noised signals and limited labeled data. Like many deep learning approaches, hybrid CNN-LSTM ...
GitHub

Neural Graphics Model Gym

Please be aware that this is a beta release. Beta means that the product may not be functionally or feature complete. At this early phase the product is not yet expected to fully meet the quality, ...
IEEE

A Robust and Lightweight CNN-Transformer Model for Audio Deepfake Detection in Indian Languages

Abstract: The proliferation of audio deepfake technology poses significant threats to digital security, particularly in multilingual contexts such as India, where diverse languages are widely used.
IEEE

Study on Depression Detection Model with Self-Supervised Speech Representation: The Architecture of wav2vec2-LSTM-CNN

Abstract: Depression is a common mental disorder with increasing global incidence rates. Traditional diagnostic methods rely on subjective assessments, which are time-consuming, costly, and lack ...
IEEE

Hybrid Transformer-CNN Model for Advanced HR Analytics: Improving Employee Engagement and Performance Prediction

Abstract: HR management challenges in large organizations increasing, the use of advanced analytics is necessary in order to drive strategic planning. A new hybrid model, Transformer-CNN is proposed ...
IEEE

Parallel CNN Deep Learning Model for Security Monitoring and Fault Prediction in Electrical Systems

Abstract: Electrical systems keep things running in modern life, but they often run into problems like imbalances, short circuits, ground faults, and overloading, which can cause equipment to break ...
IEEE

Deploying Deep Learning for Real-Time Tsunami Monitoring: A CNN-LSTM Model for Sensor-Based Prediction

Abstract: Early detection of tsunamis is essential for disaster risk reduction and minimizing loss of life. This research introduces an advanced deep learning-based tsunami detection model that ...
CNN

No doctor’s appointments or Google Maps: Why Verizon’s massive outage was such a big deal

Tess Coward, a 27-year-old PR professional based in New York City, woke up feeling under the weather on Wednesday. But without the ability to make phone calls or receive text messages, she couldn’t ...