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"Effective Resource Allocation Technique to Improve QoS in 5G Wireless " by Ramkumar Jayaraman, Baskar Manickam et al.

A 5G wireless network requires an efficient approach to effectively manage and segment the resource. A Centralized Radio Access Network (CRAN) is used to handle complex distributed networks. Specific to network infrastructure, multicast communication is considered in the performance of data storage and information-based network connectivity. This paper proposes a modified Resource Allocation (RA) scheme for effectively handling the RA problem using a learning-based Resource Segmentation (RS) tec...
Radio Access Network Centralized Radio Access Network Resource Allocation Resource Segmentation Random Forest Algorithm Signal Interference
Source: uow.edu.au

"Reinforcement learning based monotonic policy for online resource allo" by Pankaj Mishra and Ahmed Moustafa

This research aims to design an optimal and strategyproof mechanism for online resource allocation problems. In such problems, consumers randomly arrive with their resource requests in an arbitrary manner. As a result, there is uncertainty in the future resource demands. In addition, the allocation and payment decisions depend on the providers’ past experiences. To address these challenges, we propose a novel reinforcement learning algorithm for optimising the resource allocation policy. The p...
Critical Payment Onotonic Policy Nline Mechanism Design Reinforcement Learning Resource Allocation Esource Dominant Clustering
Source: uow.edu.au

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Kids' average daily screen use increased by more than an hour and twenty minutes during the pandemic, analysis finds

Average daily screen use by children during the Covid-19 pandemic increased by more than an hour and twenty minutes, according to an analysis published in JAMA Pediatrics on Monday.
Discovery Company Warner Bros University Of Calgary University College Dublin Alberta Children Hospital Research Institute Cable News Network Inc
Source: wsiltv.com

"Clustering of disaggregated fisheries data reveals functional longline" by Timothy H. Frawley, Barbara Muhling et al.

Ensuring the long-term sustainability of tuna, billfish, and other transboundary fisheries resources begins with data on the status of stocks, as well as information concerning who catches what fish, when, where, and how. Despite recent improvements in fisheries monitoring and surveillance, such dynamics remain poorly understood across the high seas. Here we delineate and describe pelagic longline activity in the Pacific Ocean using a framework that integrates descriptive vessel information and ...
Pacific Ocean Automatic Identification System Fisheries Data High Seas Pacific Ocean Elagic Longlines
Source: uow.edu.au

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