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

Abstract

NEUROMORPHIC COMPUTING BASED ON STOCHASTIC SPIKING RESERVOIR FOR HEARTBEAT CLASSIFICATION

(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: 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

Abstract

(Received: 17-Sep-2019, Revised: 5-Nov-2019 , Accepted: 30-Nov-2019)

Alaa El-Halees,Mohammed Tafish

#Breast cancer severity #Medical data #Deep learning #Deep neural network #Recurrent neural network #Deep Boltzmann machines.

Abstract