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

BRAIN-INSPIRED SPIKING NEURAL NETWORKS FOR WI-FI BASED HUMAN ACTIVITY RECOGNITION

(Received: 17-Aug.-2021, Revised: 12-Oct.-2021 , Accepted: 31-Oct.-2021)

Yee Leong Tan,Yan Chiew Wong,Syafeeza Ahmad Radzi

#Human activity recognition #Wi-Fi signals #Spiking neural network

Abstract

(Received: 2017-12-06, Revised: 2018-03-05 , Accepted: 2018-03-10)

S. R. Sreeja,Debasis Samanta,Pabitra Mitra,Monalisa Sarma

#Motor imagery #Brain computer interface #Electroencephalography #Feature extraction #Feature selection #Machine learning.

Abstract