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 ...
IEEE

Attention-based CNN-BiLSTM Model With CTGAN Sample Augmentation for Intrusion Detection in IoT

Abstract: Intrusions or attacks on IoT networks have dramatically increased in recent years. As a result, protecting IoT infrastructure from these threats became essential to its global acceptance.
IEEE

APICoder: A Multi-Role Large Language Model Framework for API Service Call Code Generation

Abstract: With the rapid advancement of large language models (LLMs) in code generation, the task of API service invocation code generation faces increasing challenges such as inaccurate context ...

China Is Obsessed With ‘Lobsters’ That Book Flights & Check Emails: Decoding AI Assistant OpenClaw

OpenClaw is AI assistant designed to perform tasks like booking flights, managing emails. The craze, risks to Beijing's tech ...
IEEE

Hybrid CNN-LSTM Model for Early Detection of Heart Disease from Multivariate Clinical Records

Abstract: Cardiovascular disease is a predominant worldwide health risk, often identified too late for successful treatment. To efficiently and accurately detect cardiac illness using structured ...
IEEE

A Hybrid Model for Short-Term Photovoltaic Power Forecasting Based on CNN-BiLSTM and Scenario-Adaptive LSTM

Abstract: This paper proposes a prediction model based on time series features, focusing on multi-model architecture design and feature fusion methods. First, a theoretical model is constructed to ...
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

A Hybrid CNN-Logistic Regression Model for Accurate and Efficient Car Damage Assessment

Abstract: This paper develops a machine learning model to classify the various sorts of car damages with high performance toward damage detection. Precision, recall, and F1-score values for all types ...
IEEE

Enhancing Short-Term Load Forecasting with a Hybrid CNN-BiLSTM Model and Attention Mechanism

Abstract: Electric load forecasting is a critical technology for optimizing energy distribution and grid management. Current works tend to suffer from the issue of insufficient capture of longterm ...
CNBC

Anthropic leaks part of Claude Code's internal source code

Anthropic accidentally leaked part of the internal source code for its coding assistant Claude Code, according to a spokesperson. The leak could help give software developers, and Anthropic's ...
IEEE

Hybrid CNN-LSTM Model for Healthcare Service Efficiency Prediction and Optimization

Abstract: The growing complexity of medical processes requires smart models that can forecast and streamline the efficiency of the service with the help of different patient and hospital statistics. A ...