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

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

Abstract

(Received: 19-Jan.-2022, Revised: 18-Mar.-2022 , Accepted: 6-Apr.-2022)

Chia Yee Saw

#Neuromorphic computing #Stochastic #Reservoir #Spiking neural network #Template matching #Arrhythmia #ECG classification

Abstract

(Received: 29-Dec.-2021, Revised: 5-Mar.-2022 , Accepted: 7-Mar.-2022)

Ichrak Khoulqi,Najlae Idrissi

#Cervical cancer #MRI #Segmentation #Features #DCNNs #Transfer learning #Stacking #Classification

Abstract