2019
A Machine Learning Approach for Classifying Faults in Microgrids using Wavelet Decomposition
Khalaf A, Al Hassan H, Emes A, Akcakaya M, Grainger B. A Machine Learning Approach for Classifying Faults in Microgrids using Wavelet Decomposition. 2019, 00: 1-6. DOI: 10.1109/mlsp.2019.8918774.Peer-Reviewed Original ResearchLinear discriminant analysisWavelet decompositionNaïve Bayesian classifierFault typesClassification problemDifferent fault scenariosClassification performanceVector machineBayesian classifierWavelet coefficientsStatistical featuresFault identificationFault onsetMachineFault scenariosHigh performanceOverall accuracyExperimental resultsThree-phase voltageSignificant featuresMicrogrid architecture
2018
Real-Time Cardiac Arrhythmia Classification Using Memristor Neuromorphic Computing System
Hassan A, Khalaf A, Sayed K, Li H, Chen Y. Real-Time Cardiac Arrhythmia Classification Using Memristor Neuromorphic Computing System. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2018, 00: 2567-2570. PMID: 30440932, DOI: 10.1109/embc.2018.8512868.Peer-Reviewed Original ResearchConceptsNeuromorphic computing systemsComputing systemsCardiac arrhythmia classificationArrhythmia classificationReal-time processingTerms of accuracyDifferent beat typesAverage testing timeTesting timeAverage accuracyBeat typesBasic building blocksDetection techniquesPower consumptionOverall accuracyExperimental resultsClassificationAccuracySystemBuilding blocks