17 hours ago · Abstract: Currently, deep neural networks (DNNs) have made some progresses in local region feature extraction, image matching under difficult conditions and ...
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9 hours ago · In this paper, an innovative facial emotion recognition framework, termed extended walrus-based deep learning with Botox feature selection network (EWDL-BFSN), ...
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18 hours ago · Inspired by quantum computing platforms, this research introduces the Quantum Hopfield Neural Network (QHopNN), harnessing the exceptional pattern recognition ...
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11 hours ago · Many recent studies have leaned on deep-learning approaches, especially convolutional neural networks (CNN), for more robust feature extraction. Yin et al ...
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20 hours ago · A vanilla convolutional autoencoder therefore produces an encoding that stores aggregated local information in each latent vector, as larger receptive fields ...
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15 hours ago · Here, we design a pattern recognition sensor array based on the alkaloid-inhibited catalytic activity of dopzymes for the discrimination and determination of ...
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6 hours ago · Advanced Materials, one of the world's most prestigious journals, is the home of choice for best-in-class materials science for more than 30 years.
22 hours ago · Artificial intelligence (AI) and machine learning (ML) are two fields that work together to create computer systems capable of perception, recognition, decision ...
8 hours ago · This paper presents a deep learning approach for predicting rail corrugation based on on-board rolling-stock vertical acceleration and forward velocity ...
4 hours ago · The use of low-cost depth imaging sensors is investigated to automate plant pathology tests. Spatial evolution is explored to discriminate plant resistance ...
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