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
2015
Image Features of Spectral Correlation Function for Arrhythmia Classification
Khalaf A, Owis M, Yassine I. Image Features of Spectral Correlation Function for Arrhythmia Classification. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2015, 2015: 5199-5202. PMID: 26737463, DOI: 10.1109/embc.2015.7319563.Peer-Reviewed Original ResearchConceptsSpectral correlation functionCyclostationary signal analysisSignal analysisExperimental resultsSupport vector machine