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RISK FACTOR IDENTIFICATION FOR STROKE PROGNOSIS USING MACHINE-LEARNING ALGORITHMS

(Received: 16-May-2022, Revised: 6-Jul.-2022 , Accepted: 7-Jul.-2022)
Tanvir Ahammad
#Stroke prediction #Machine learning #Classification #Feature selection #Stroke risk factors #Healthcare
  • Views: 3941
  • Downloads: 694
  • DOI: 10.5455/jjcit.71-1652725746
  • Cited by: 9
Abstract

PHYLOGENETIC REPLAY LEARNING IN DEEP NEURAL NETWORKS

(Received: 31-Jan.-2022, Revised: 18-Apr.-2022 , Accepted: 22-Apr.-2022 )
Jean-Patrice Glafkides,Gene I. Sher,Herman Akdag
#Neural networks #Neuroevolution #Phylogenetic replay learning #Deep learning #Vanishing gradient
  • Views: 2546
  • Downloads: 561
  • DOI: 10.5455/jjcit.71-1643583878
  • Cited by: 2
Abstract

DEVELOPMENT OF ENSEMBLE MACHINE LEARNING MODEL TO IMPROVE COVID-19 OUTBREAK FORECASTING

(Received: 22-Dec.-2021, Revised: 27-Feb.-2022 , Accepted: 25 -Mar.-2022 )
Meaad Alrehaili,Fatmah Assiri
#COVID-19 #Coronavirus disease #Coronavirus #Pandemic #Epidemic prediction #Future forecasting #Machine learning #Ensemble machine learning algorithms #Naive Bayes #Support vector machine #Random forest #Gradient boosting
  • Views: 2652
  • Downloads: 653
  • DOI: 10.5455/jjcit.71-1640174252
  • Cited by: 2
Abstract

COMPARATIVE STUDY OF MACHINE LEARNING AND DEEP LEARNING ALGORITHM FOR FACE RECOGNITION

(Received: 28-Jun.-2021, Revised: 17-Aug.-2021 , Accepted: 19-Aug.-2021)
Nikita Singhal,Vaishali Ganganwar,Menka Yadav,Asha Chauhan,Mahender Jakhar,Kareena Sharma
#Face recognition #Local binary pattern #Convolutional neural networks #Principal component analysis #Histogram of oriented gradient
  • Views: 3943
  • Downloads: 1115
  • DOI: 10.5455/jjcit.71-1624859356
  • Cited by: 18
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