Prediction of Human Brain Activity Using Likelihood Ratio Based Score Fusion

• Main Authors: Zafar, R., Dass, S.C., Malik, A.S., Kamel, N., Rehman, M.J.U., Ahmad, R.F., Abdullah, J.M., Reza, F.
• Format: Article
• Published: Institute of Electrical and Electronics Engineers Inc. 2017
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029297221&doi=10.1109%2fACCESS.2017.2698068&partnerID=40&md5=a54590a60a7a07308ffac50d172cd02b; http://eprints.utp.edu.my/19844/

Human brain has a complex structure with the billions of neurons, so it is a difficult and challenging task to predict the behavior of human brain. Different methods and classifiers are used to measure and classify the brain activities with higher accuracy and reliability. In this paper, instead of...