Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
Abstract: This study introduces a deep learning approach for network intrusion detection (NIDS), which excels in both binary and multi-classification tasks. This approach combines the strengths of six ...
Abstract: In this article, a deep-learning (DL) algorithm is proposed to efficiently predict the pattern of the antenna array. By establishing the Bayesian-optimized convolutional neural network (CNN) ...
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The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
Optimization of pattern-synthesis algorithms. Applying a deep-learning network to generate antenna element weights. Using a convolution neural network to perform pattern synthesis with deep learning.
Professors at the University of South Australia and Charles Sturt University have developed an algorithm to detect and intercept man-in-the-middle (MitM) attacks on unmanned military robots. MitM ...
Terminologies like Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning are hype these days. People, however, often use these terms interchangeably. Although these terms highly ...
We explore propagation of seismic interpretation by deep learning in stacked 2D sections. We show the application of state-of-the-art image classification algorithms on seismic data. These algorithms ...
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