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NLINQ: A natural language interface for querying network performance
Artificial Intelligence is finding increased applications in communication networks. In particular, the field of text-to-Structured Query Language...
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A performance assessment method for urban rail transit last train network based on percolation theory
With global urbanization, mega-cities like Bei**g, New York, and Tokyo have emerged. Urban rail transit (URT) in these cities is essential for...
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Team performance analysis in football match using network analysis-based approach
In team sports like football, players assume various positions based on the team’s strategy, contributing to overall team performance. Player...
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Student academic performance prediction enhancement using t-SIDSBO and Triple Voter Network
Today’s educational environment considers student academic performance prediction to be extremely important in educational organizations. It is a key...
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Performance-oriented FPGA-based convolution neural network designs
Convolutional neural network (CNN) is the most well-known algorithm that it has been widely utilized in the applications of the image recognition and...
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A hybrid crossbar-ring on chip network topology for performance improvement of multicore architectures
Multicore architectures have achieved a popularity to deliver improved performance for different application domains. Performance of a system is...
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How active/passive social network usage relates to academic performance among high school students in Taiwan
This study aimed to explore the effects of active social network usage (ASNU) and passive social network usage (PSNU) on academic performance. Using...
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Machine learning-driven performance assessment of network-on-chip architectures
System-on-chip designs for high-performance computing systems widely use network-on-chip (NoC) technology. The critical metrics such as latency,...
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A novel adaptive fuzzy prescribed performance congestion control for network systems with predefined settling time
The adaptive predefined settling time performance tracking control for a class of uncertain nonlinear network systems with fast time-varying or even...
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Leveraging WiFi network logs to infer student collocation and its relationship with academic performance
A comprehensive understanding of collocated social interactions can help campuses and organizations better support their community. Universities...
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Real-time performance analysis of network buffer under multi-core scheduling platform
The network buffer is a key factor affecting the communication efficiency of a multi-core embedded real-time system protocol stack. Therefore, it...
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An integrated convolutional neural network with attention guidance for improved performance of medical image classification
Today, it becomes essential to develop computer vision algorithms that are both highly effective and cost-effective for supporting physicians'...
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Examining the impact of link failures and network performance on a 6to4, 6rd, CHANC and D4across6 tunneling-based networks using various routing protocols
The article discusses the importance of failure recovery in communication networks to ensure smooth and dependable service. It states that the...
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Performance evaluation of multi-exaflops machines using Equality network topology
In modern computing architectures, graph theory is the soul of the play due to the rising core counts. It is indispensable to keep finding a better...
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Artificial neural network evaluation of concrete performance exposed to elevated temperature with destructive–non-destructive tests
In this study, it is aimed to predict the performance of concretes obtained by using supplementary cementitious materials (SCM) before and after high...
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High-performance application map** in network-on-chip-based multicore systems
The allocation of resources and scheduling of tasks, specifically map**, in multicore systems on-chip (MCSoC), poses significant challenges. Tasks...
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Adaptive neural network control of a 2-DOF helicopter system considering input constraints and global prescribed performance
In this study, an adaptive neural network (NN) control is proposed for nonlinear two-degree-of-freedom (2-DOF) helicopter systems considering the...
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Optimized deep network based students performance analysis for college admissions
The careful analysis of students' data can help to know the behaviour and performance of the students. With the support of technology-enhanced...
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Performance Evaluation Comparison Between Central SDN Network and DSDN
Software-Defined Networking (SDN) is a cutting-edge technology for increasing network programmability. Because of its centralized nature, SDN is...
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LVNet: A lightweight volumetric convolutional neural network for real-time and high-performance recognition of 3D objects
The 3D object recognition has become one of hot topics in computer vision with the increasing of application scenarios of 3D data, such as robotic...
