Aartificial intelligence can be used for control of nuclear fusion reactions giving significant energy. It is based on replicable experiments giving energy release for short time performed by interaction of deuterium ...
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this study addresses the affine formation maneuver control of cooperative multi-agent systems (MAS) having periodic inter-agent communication for both static and dynamic leader cases. Here, we focus on the leader-foll...
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Bike-sharing systems (BSSs) are deployed in over a thousand cities worldwide and play an important role in many urban transportation systems. BSSs alleviate congestion, reduce pollution and promote physical exercise. ...
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ISBN:
(纸本)9798350384048;9798350384031
Bike-sharing systems (BSSs) are deployed in over a thousand cities worldwide and play an important role in many urban transportation systems. BSSs alleviate congestion, reduce pollution and promote physical exercise. It is essential to explore the spatiotemporal patterns of bike-sharing demand, as well as the factors that influence these patterns, in order to optimise system operational efficiency. In this study, an optimised geo-temporal graph is constructed using trip data from Moby Bikes, a dockless BSS operator. the process of optimising the graph unveiled prime locations for erecting new stations during future expansions of the BSS. the Louvain algorithm, a community detection technique, is employed to uncover usage patterns at different levels of temporal granularity. the community detection results reveal largely selfcontained sub-networks that exhibit similar usage patterns at their respective levels of temporal granularity. Overall, this study reinforces that BSSs are intrinsically spatiotemporal systems, with community presence driven by spatiotemporal dynamics. these findings may aid operators in improving redistribution efficiency.
Evaluating pedestrians is critical when designing new systems for more sophisticated video monitoring and innovative computer vision-based security. Although convolutional neural networks successfully learn different ...
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this paper presents a novel compact chipless radio frequency identification (RFID) tag using dual mode loop resonator (DMLR), open-loop resonator (OLR) and dual band-notched UWB antennas. 3N codes can be obtained by c...
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the paper details the architecture of an automated measurement system application developed in Python. It leverages packages such as PyVISA, Pandas, and PyQt6 for its graphical user interface. the application is utili...
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Sidechain technology aids in building lightweight and rapid-response blockchain services in resource limited Internet of things (IoT) environments, yet the low trust model of sidechains is a concern. the restaking mec...
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this paper represents a perspective on the design of AI chatbots with respect to the concept of method engineering. Overall, this paper includes the following sections: First, we represent primitive findings based on ...
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the transformation in working styles in recent years due to a rapidly changing world has popularized job application platforms, which has in turn led to a vast amount of data that can be used to guide job seekers to j...
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based on computer vision technology, this paper proposes an automatic identification method for construction materials based on deep learning. For the "artificial counting method", "artificial counting ...
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