pv magazine Australia

Guided-learning model for PV power forecasting without irradiance sensors

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring ...
GitHub

Prometheus Time Series Anomaly Detection with LSTM Autoencoder

This project implements a system for detecting anomalies in time series data collected from Prometheus. It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn ...
IEEE

Minimizing Adversarial Training Samples for Robust Image Classifiers: Analysis and Adversarial Example Generator Design

Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...
GitHub

Google ADK Training Hub

Build production-ready AI agents tutorials that solve real problems. You're here because AI agents are transforming software development, and you want practical skills you can use at work tomorrow.
IEEE

Advancing Financial Risk Prediction through Optimized LSTM Model Performance and Comparative Analysis

Abstract: This paper focuses on the application and optimization of LSTM model in financial risk prediction. The study starts with an overview of the architecture and algorithm foundation of LSTM, and ...