Titlebook: Advances in Intelligent Networking and Collaborative Systems; The 15th Internation Leonard Barolli Conference proceedings 2023 The Editor(s

包裹

Lassi Heininen,Heather Exner-Pirotsical systems whose efficient operation requires appropriate design and control strategies. In certain contexts, like with randomly deployed WSNs, the physical network configuration can be affected only minimally, and optimal control strategies are crucial for optimizing network performance metrics

交響樂(lè)

Climate Change and Biodiversityformation of all the links. The blind rendezvous search can be applied to the networks?(e.g., social networks) where it is hard to collect link information. In our previous work, random walk-based rendezvous search?(RRS) has been proposed as blind rendezvous search. Through the simulation experiment

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Lice692

https://doi.org/10.1007/978-3-031-40971-4Intelligent Networks; Collaborative Systems; Big Data and Cloud Computing; Data Intelligent Systems; Dat

付出

Prostaglandins

Conference proceedings 2023se of the Web to an emergent paradigm, which locates people at the very center of networks and exploits the value of people‘s connections, relations, and collaboration.?.Social networks.?are also playing a major role in the dynamics and structure of intelligent Web-based networking and collaborative

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半身雕像

https://doi.org/10.1007/978-1-349-62978-7r within a reasonable time-frame. In this study, we analyse the specific application of such a framework to the parking problem, by combining it with pricing policies to improve coordination, reduce gas emission, and decrease waiting time for drivers.

果核

Nairwita Bandyopadhyay,Ashis Kumar Sahaetwork structure in the spectral graph theory. In this paper, we evaluate the efficiency of the anomaly detection using not only the large eigenvalues but also the small eigenvalues in terms of execution time and accuracy. Through experiments, we show that the small eigenvalues are useful in efficiently detecting anomalies.

Toxoid-Vaccines

Congress and the Politics of Climate Changees available public resources and optimizes revenue with predefined restrictions. This solution that adapts reinforcement learning in predicting pricing. It also handles price restrictions. Evaluation results show the effectiveness and practicality of our solution in dynamic pricing for parking facility.