IEEE

Yaw Predictive Control Strategy of Offshore Wind Turbines with Attention-CNN-LSTM Wind Predictive Model

Abstract: To improve the yaw efficiency of offshore wind turbines, this paper proposes a yaw predictive control strategy based on an Attention-CNN-LSTM wind direction forecasting model. Self-Attention ...

AI coding transforms data engineering: How dltHub's open-source Python library helps developers create data pipelines for AI in minutes

A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in ...
IEEE

Hybrid CNN-LSTM Model for DDoS Attack Detection in Internet of Things-based Healthcare Industry 5.0

Abstract: The convergence of the Internet of Things (IoT) and Software-Defined Networking (SDN) has paved the way for a new technological paradigm in Healthcare Industry 5.0. This integration ...
IEEE

Comparative Analysis of Handwritten Digit Recognition using MLP, CNN, LeNet-5 Model’s

Abstract: The analysis of three distinct neural network architectures for Handwritten Digit Recognition (HDR): Multi-Layer Perceptron (MLP), Simple Convolutional Neural Network (CNN), and LeNet-5. The ...
IEEE

The Fatigue Driving Detection Model Based on the Combination of CNN and SE Modules

Abstract: Fatigue driving is one of the leading causes of traffic accidents, posing a serious threat to road safety. Traditional Convolutional Neural Networks (CNN) models have been widely used for ...
IEEE

Automated Recognition of Autism Spectrum Disorder from EEG Signals Using a CNN-LSTM Hybrid Model

Abstract: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder that impacts social interaction and behavior. Accurate early diagnosis is critical for timely intervention, yet ...
GitHub

Great Expectations MCP Server

Large Language Model (LLM) agents often need to interact with and validate data. Great Expectations is a powerful open-source tool for data quality, but it's not natively accessible to LLM agents.
IEEE

A Hybrid CNN-LSTM Multi-Modal for Early Detection and Recurrence Prediction of Ovarian Cancer and Model Transparency using SHAP and LIME

Abstract: Ovarian cancer is one of the deadliest cancers in women because it shows no clear symptoms in the early stages and often returns after treatment. Current detection methods are not strong ...
IEEE

Enhanced Recognition of English Handwriting Styles Using a Hybrid CNN-Random Forest Model

Abstract: Most organizations worldwide focus on handwriting recognition as it is vital in several assignments like the archive, education, and security. This is a research paper that puts forward ...
GitHub

Playwright Skill for Claude Code

A Claude Skill that enables Claude to write and execute any Playwright automation on-the-fly - from simple page tests to complex multi-step flows. Packaged as a Claude Code Plugin for easy ...