Abstract: Orthogonal Frequency Division Multiplexing with Index Modulation (OFDM-IM) is regarded as a promising candidate for next generation communications due to its remarkable efficiency and ...
A Sequence-Aware Custom 1D CNN: A deep, lightweight 1D Convolutional Neural Network (CNN) processes the ordered sequence of integer-encoded SNPs. Its hierarchical convolutional layers are designed to ...
This work presents the performance and efficiency analysis of solid-state power electronic devices in two complementary applications: fault current limiting and renewable energy integration. A ...
Classifies three types of electrical faults from real-world time-series voltage and current waveforms: Short-circuit, Overload, and Ground fault. Developed for ABB Power Systems with <50ms real-time ...
Abstract: Network Intrusion Detection Systems (NIDS) play a crucial role in IoT security. In recent years, deep learning-based intrusion detection systems have demonstrated excellent performance.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback