This work proposes a new way to apply the deep convolutional EfficientN etB0 model for the classification to learn various electroencephalogram (EEG) signal properties on BCI competition IV dataset 2b. Several deep co...
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Aerospace incident reports, crucial for identifying abnormal aircraft occurrences, are submitted to regulatory authorities like FAA or EASA. These reports, often in natural language, offer clarity and context. Existin...
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Machine Learning (ML) and Deep Learning (DL) have achieved high success in many textual, auditory, medical imaging, and visual recognition patterns. Concerning the importance of ML/DL in recognizing patterns due to it...
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Controller area network (CAN) is widely used in automotive applications and has become the standard communication protocol to enable efficient communication primarily between electronic control units (ECUs) to reduce ...
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DC microgrids equipped with solid-state transformers (SST) offer a contemporary alternative to traditional low-frequency transformers (LFT) by increasing the system's power density. The SST consists of a front-end...
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Integrating electric vehicle (EV) fast charging stations with the medium voltage (MV) grid using a solid-state transformer (SST) has attracted more interest from researchers due to the reduced size and the smart funct...
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This research introduces a static average consensus (SAC) and dynamic average consensus (DAC) based Load Fre-quency Controller (LFC) designed for a distributed multi-battery energy storage system (MBESS). The proposed...
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The idea of a Solid-State Transformer (SST) has received much interest recently and is being thoroughly explored for use in the electrical system by replacing the traditional low-frequency transformer (LFT) using high...
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In the dynamic landscape of cybersecu-rity and cyber warfares, Cyber Threat Intelligence (CTI) is increasingly relied on for gathering and sharing the latest information about threats and their trends. Current CTI sha...
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Understanding the thermal behaviour of lithiumion batteries (LIBs) with aging and degradation is crucial for developing an effective thermal management system and state-of-temperature estimation technique ensuring hig...
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