FEATURE LEVEL FUSION FRAMEWORK FOR BRAIN MR IMAGE CLASSIFICATION USING SUPERVISED DEEP LEARNING AND HAND CRAFTED FEATURES

(Received: 16-Jun.-2022, Revised: 18-Aug.-2022 , Accepted: 12-Sep.-2022)

Prashantha S. J.,H. N. Prakash

#Deep-learning features #Handcrafted features #Canonical-correlation analysis #Discriminant-correlation analysis #Support vector machines

Views: 2002
Downloads: 545
DOI: 10.5455/jjcit.71-1655376900
Cited by: 1

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: 2276
Downloads: 578
DOI: 10.5455/jjcit.71-1640174252
Cited by: 2

Abstract

HYBRID FEATURE SELECTION FRAMEWORK FOR SENTIMENT ANALYSIS ON LARGE CORPORA

(Received: 5-Jan.-2021, Revised: 22-Feb.-2021 , Accepted: 17-Mar.-2021)

*Kayode S. Adewole,Abdullateef O. Balogun,Muiz O. Raheem,Muhammed K. Jimoh,Rasheed G. Jimoh,Modinat A. Mabayoje,Fatima E. Usman-Hamza,Abimbola G. Akintola,Ayisat W. Asaju-Gbolagade

#Sentiment analysis #Opinion mining #Hybrid feature selection #Boruta #Recursive feature elimination

Views: 3044
Downloads: 739
DOI: 10.5455/jjcit.71-1609858713
Cited by: 5

Abstract

LIVE BIG DATA ANALYTICS RESOURCE MANAGEMENT TECHNIQUES IN FOG COMPUTING FOR TELE-HEALTH APPLICATIONS

(Received: 20-Nov.-2020, Revised: 11-Feb.-2021 , Accepted: 23-Feb.-2021)

Ragaa Shehab,Mohamed Taher,Hoda K. Mohamed

#Fog/Edge computing #Big data analytics #Stream analytics #Apache Hadoop2 YARN schedulers #Per-user control #Analytics accuracy #Fog infrastructural management #Patient monitoring #Smart hospital

Views: 3018
Downloads: 952
DOI: 10.5455/jjcit.71-1605864596
Cited by: 4

Abstract