The electrification of transport is transforming not only how vehicles operate but how energy systems are managed. Modern EV ...

According to the analysis, deep learning architectures such as Long Short-Term Memory (LSTM) networks and hybrid CNN-LSTM ...

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...

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Prosecutors had planned to use Kohberger's homework against him at trial. As part of his studies in the fall of 2022, then-criminology Washington State University Ph.D. student Bryan Kohberger ...

Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...

Electric Vehicle (EV) cost prediction involves analyzing complex, high-dimensional data that often contains noise, multicollinearity, and irrelevant features. Traditional regression models struggle to ...

Department of Biomedical Engineering, Institute for Complex Molecular System (ICMS) and Eindhoven AI Systems Institute (EAISI), Eindhoven University of Technology, Eindhoven 5612 AZ, Netherlands ...

Abstract: In this paper, we design a deep learning-based convolutional autoencoder for channel coding and modulation. The objective is to develop an adaptive scheme capable of operating at various ...

ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...