Abstract: Modulation recognition of radar signals is a core challenge in electronic countermeasures under complex electromagnetic environments. Deep learning demonstrates significant promise for ...
Abstract: Stroke is a major cause of long-term neurological impairment, and continuous monitoring of post-stroke patients is essential for rehabilitation and relapse prevention. Electroencephalogram ...
Germany's Federal Office for the Protection of the Constitution (aka Bundesamt für Verfassungsschutz or BfV) and Federal Office for Information Security (BSI) have issued a joint advisory warning of a ...
Germany's domestic intelligence agency is warning of suspected state-sponsored threat actors targeting high-ranking individuals in phishing attacks via messaging apps like Signal. The attacks combine ...
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 ...
Abstract: Electrocardiogram (ECG) signals are crucial for early detection and ongoing monitoring of cardiovascular diseases. This research introduces ECGNet-H, a new hybrid deep learning framework ...
Abstract: Driver distraction is a leading contributor to road accidents, highlighting the need for intelligent systems that enable early detection and prevention. This paper presents a model designed ...
Abstract: Optimal energy management in greenhouse facilities is a challenging task given the high electrical requirements of actuators like fans, irrigation pumps, and motors. The system proposed in ...
Abstract: Deepfake technology, using deep learning, creates highly realistic yet artificial media, creating challenges for security and privacy. Convolutional Neural Networks (CNNs) play a crucial ...
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