This comprehensive review synthesizes insights from many research papers on Bitcoin, encompassing aspects like its foundational peer-to-peer system and the application of advanced machine learning for price prediction...
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This paper introduces a horizontal type reference torque machine, which is composed of a movable workbench, a control system, a torque loading unit, intelligent standard sensors and a double rolling bearing support me...
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modeling queueing networks in random environments is a challenging problem that finds application in routing, reliability analysis, and evaluation of systems processing bursty workloads. In this paper, we introduce a ...
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ISBN:
(数字)9798331531300
ISBN:
(纸本)9798331531317
modeling queueing networks in random environments is a challenging problem that finds application in routing, reliability analysis, and evaluation of systems processing bursty workloads. In this paper, we introduce a method to evaluate closed queueing networks in random environments that can deal with non-Markovian transitions among environment stages and accurately approximate time-averaged performance metrics. Our technique supports both state-independent and state-dependent random environments, the latter allowing us to analyze challenging queueing network models with bursty service processes. Using simulation on representative case studies, we show that our technique provides low approximation errors. We further demonstrate the applicability of our result to a mobility case study demonstrating the applicability of the proposed approach.
The proceedings contain 46 papers. The topics discussed include: farmland boundary extraction technology based on UAV images;short text matching enhanced by contextual template for large language models in data exchan...
ISBN:
(纸本)9798331510633
The proceedings contain 46 papers. The topics discussed include: farmland boundary extraction technology based on UAV images;short text matching enhanced by contextual template for large language models in data exchanging systems;real-time identification of crop plant based on computer vision and crop signaling technology for weed control;vulnerability of block reorganization on Ethereum 2.0;intelligent dialogue method for educational applications based on improved large models;user interface design for orientation sensor-based biomechanical feedback in golf;the digital senses: an analysis of internet use’s impact on visual, auditory, olfactory, gustatory, and tactile perceptions;attention distillation for accuracy improvement of vision transformer;and gait cycle analysis algorithm based on depth camera measurement.
The proceedings contain 9 papers. The special focus in this conference is on Broadband Communications, Networks, and systems. The topics include: Deep CounterStrike: Counter Adversarial Deep Reinforcement Learning for...
ISBN:
(纸本)9783031404665
The proceedings contain 9 papers. The special focus in this conference is on Broadband Communications, Networks, and systems. The topics include: Deep CounterStrike: Counter Adversarial Deep Reinforcement Learning for Defense Against Metamorphic Ransomware Swarm Attack;android Malware Detection Based on Static Analysis and Data Mining Techniques: A Systematic Literature Review;malEfficient10%: A Novel Feature Reduction Approach for Android Malware Detection;BCTM: A Topic modeling Method Based on External Information;an Empirical Study on Model Pruning and Quantization;Client Selection Based on Diversity Scaling for Federated Learning on Non-IID Data;a Modern Platform for Social Governance.
Calibration technology is an essential technique to boost the absolute positioning accuracy of robots. However, an industrial robot's working space is mostly restricted in real working environments, making the col...
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Space-air-ground integrated networks (SAGINs), which integrate the satellite network, aerial network and terrestrial network, have been widely envisioned as a promising network architecture for satellite internet. How...
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This study introduces an enhanced Walk on Spheres (WOS) algorithm, integrated with Generative Adversarial Networks (GANs), to simulate convection-diffusion processes involving velocity fields. The traditional WOS algo...
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Facial recognition and authentication have become critical technologies, transforming security and user verification landscapes across diverse industries. This paper presents the compelling synergy between these innov...
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Selecting the appropriate sensors for large-scale air quality monitoring systems presents a considerable challenge due to the dynamic nature of environmental conditions, varying sensor performance, and budgetary limit...
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