this paper aims to document the design of a general algorithm for the intelligent safety system for motorcycles and, last but not least, the construction of a prototype that will create an environment suitable for the...
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this paper presents a novel approach in enhancing Unmanned Aerial Vehicle (UAV) communicationsystemsthrough the application of reliable Electroencephalogram (EEG)-based Motor Imagery signals. the concept of EEG sign...
Millimeter wave (MMW) communication constitutes a fundamental technology in next-generation networks. However, with high propagation loss and unfavorable atmospheric absorption, MMW systems are highly susceptible to b...
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Recently, the orthogonal time-frequency space (OTFS) modulation technique has been proposed to provide reliable communication over time-varying channels, combined withthe double dispersion characteristics of underwat...
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To deeply excavate the information contained in user data and better alleviate cold start problem, we propose KGCN++, a user information enhanced knowledge graph convolutional networks model for recommender system, wh...
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the proceedings contain 64 papers. the topics discussed include: boosting adversarial attack transferability via random block shuffle;pruner to predictor: an efficient pruning method for neural networks compression;fi...
ISBN:
(纸本)9781665470452
the proceedings contain 64 papers. the topics discussed include: boosting adversarial attack transferability via random block shuffle;pruner to predictor: an efficient pruning method for neural networks compression;finite-time synchronization of inertial neural networks via periodically intermittent control;leader-following consensus of linear multi-agent systems via dynamic event-triggered adjustable control protocol;base on megapixel color fundus photos for multi-label disease classification;rolling bearing fault diagnosis considering fault location and damage degree based on smoothness priors approach;combined with decomposition algorithm and generative adversarial networks on landslide displacement prediction;recurrent neural networks with fractional order gradient method;automatic pantograph health status report generation based on dense captioning;construction of multi-resolution multi-organ shape model based on stacked autoencoder neural network;and ship course tracking control using differential of log-sum-exp neural network and model predictive control.
the problem for Kazakh enterprises is that human resources have not yet become a strategic factor in increasing the role of employees in the digital economy. However, business structures in Kazakhstan limited themselv...
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the paper shows that at the present stage of digitalization development, the issue of personal data protection in the educational sphere by means of information technology tools is important. Based on the analysis of ...
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In this article, we consider how to allocate budgets based on citizen votes in regions. Using data on the degree of urbanization and voter preferences in each city's areas of activity, we develop a funding allocat...
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the private 5G network has matured rapidly in recent years based on the service-based architecture (SBA) of cloud-native. However, virtualization technology and layered separation design of 5G core networks still face...
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