IEEE

A Hybrid Machine Learning Framework for Cognitive Load Detection Using Single Lead EEG, CiSSA and Nature-Inspired Feature Selection

Abstract: Decomposition of EEG data into IMFs was performed using CiSSA. During the second phase, IMFs investigated characteristics that were based on entropy. The characteristics obtained were then ...
IEEE

Statistical Forecasting of Short-term Electricity Load Using a Meteorological Feature-driven Deep Learning Fusion Framework

Abstract: It is crucial to precisely forecast the power load to achieve efficient resource distribution and cost control. The current work introduces a deep learning (DL) driven fusion framework for ...

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This sneaky little feature might speed things up for you.The Latest Tech News, Delivered to Your Inbox ...