An innovative computer assisted drill core logging system has been developed based on the integration of a SWIR spectral imaging system and a systematic XRF analytical probe. The system has been trained on mineralisat...
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Content delivery network (CDN) has become a critical infrastructure in the Internet and DNS-based request routing mechanism is widely used in CDNs. The current methods of CDN detection mainly use information such as h...
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Meta-learning is a promising strategy for learning to efficiently learn using data gathered from a distribution of tasks. However, the meta-learning literature thus far has focused on the task segmented setting, where...
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A supervised learning algorithm can be categorized into different forms and one of this is classification where the main goal is to predict the categorical class labels of structured or unstructured data. However, it ...
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In order to improve the accuracy of online learning platform recommendation for learner learning resources and to alleviate the cold start problem, this paper proposes an online learning resource recommendation method...
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Recently, more attention has been paid to the task of traffic classification. This is due to the fact that, in the era of active development of digital systems, it is necessary to pay particular attention to the issue...
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State-of-the-art methods of Human Activity Recognition (HAR) rely on a considerable amount of labelled data to train deep architectures. This becomes prohibitive when tasked with creating models that are sensitiv...
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Deep learning neural networks have achieved remarkable success in various fields of application of artificial intelligence. This technology, which grew out of studies of artificial neural networks, has shown superior ...
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Inspired by the dynamic dendritic architecture of biological neurons, the approximate logic neuron model (ALNM) is a novel model recently proposed by us. ALNM owns four layers, namely, the synaptic layer, the dendriti...
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Many factors causing the issue of the land transportation like intersections problems. In cities where the volume of vehicles passing through an intersection is so large that sometimes a vehicle can pass through an in...
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