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A machine learning approach to predict the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si431.svg" display="inline" id="d1e519"><mml:mi>k</mml:mi></mml:math>-coverage probability of wireless multihop networks considering boundary and shadowing effects

Jaiprakash Nagar, Sanjay K. Chaturvedi, Sieteng Soh, Abhilash Singh

2023Expert Systems with Applications18 citationsDOI

Topics & Concepts

Computer scienceArtificial neural networkMachine learningAlgorithmMean squared errorArtificial intelligenceMetric (unit)Range (aeronautics)RegressionSensitivity (control systems)MathematicsData miningStatisticsOperations managementComposite materialElectronic engineeringMaterials scienceEngineeringEconomicsAdvanced MIMO Systems OptimizationEnergy Efficient Wireless Sensor NetworksCooperative Communication and Network Coding
A machine learning approach to predict the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si431.svg" display="inline" id="d1e519"><mml:mi>k</mml:mi></mml:math>-coverage probability of wireless multihop networks considering boundary and shadowing effects | Litcius