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Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
Published 2022“…The performance of three machine learning (ML) algorithms was assessed to predict the wild blueberry harvest losses on the ground. …”
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Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms
Published 2022“…UDST has become and first national applied University in Qatar; it is also second national University in the country.…”
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Exposure of Botnets in Cloud Environment by Expending Trust Model with CANFES Classification Approach
Published 2022“…On this work, the port access verification in trust model is achieved by a Heuristic factorizing algorithm which verifies the port accessibility between client-end-user and client server. …”
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Discrimination between genuine and acted expressions using EEG signals and machine learning
Published 2019Get full text
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Deadline-based connection setup in wavelength-routed WDM networks
Published 2010“…The proposed approach utilizes the Earliest Deadline First (EDF) queueing algorithm to achieve deadline-based connection setup management with the deadline being the setup time requirement of an optical connection. …”
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A hybrid model for the optimum integration of renewable technologies in power generation systems
Published 2011“…The main purpose of this work is to assess the unavoidable increase in the cost of electricity of a generation system by the integration of the necessary renewable energy sources for power generation (RES-E) technologies in order for the European Union Member States to achieve their national RES energy target. The optimization model developed uses a genetic algorithm (GA) technique for the calculation of both the additional cost of electricity due to the penetration of RES-E technologies as well as the required RES-E levy in the electricity bills in order to fund this RES-E penetration. …”
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Dynamic Cyber Resilience of Interdependent Critical Information Infrastructures
Published 2021“…These interdependent infrastructures form one coupled heterogeneous network that qualifies them to deliver new cyber roles and crucial tasks not achievable before in numerous domains worldwide. The CIIs have to deal with sophisticated cyber risks resulting from cyber vulnerabilities of their scale-free topology targeted by different cyber threats like concurrent and consecutive cyberattacks to the expected failure cause of the single hub nodes in their decentralized structures lead to cascading and escalating cyber failures that interrupt the vital services and considerable losses in modern societies with vast negative impacts on the economy and national security. …”
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