IEEE

Evaluating Solar Power Forecasting Robustness: A Comparative Analysis of XGBoost, RNN, KNN, RF, and LSTM with emphasis on Lagged Steps, Sensitivity, and Cross-Validation Techniques

Abstract: The transition towards renewable energies is inevitable in the face of global warming conditions and the increasing scarcity of fossil fuels, alongside their harmful impacts on the ...

5 examples of AI agents in the workplace

Zapier reports five workplace AI agent examples that enhance workflows by automating tasks like sentiment analysis, lead ...
IEEE

A Time Series Characterization of IGBT Junction Temperature Method Based on LSTM Network

Abstract: Accurate junction temperature characterization plays a critical role in the performance as well as reliability enhancement design of Insulated gate bipolar transistor (IGBT) modules. However ...
Nature

AI models were given four weeks of therapy: the results worried researchers

Chatbots put through psychotherapy report trauma and abuse. Authors say models are doing more than role play, but researchers ...
Daily Excelsior

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
Scientific Research Publishing

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case Study of Guangzhou South Railway Station ()

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...