Computer-Aided Learning and Analysis for COVID-19 Disease
In: World Journal of Engineering Ser. v.2
Cover1 -- Guest editorial -- COVID-19 prediction through X-ray images using various layers in convolutional neural network -- Hybrid artificial bee colony and glow worm algorithm for energy efficient cluster head selection in wireless sensor networks -- Empirical path loss models at 433 MHz in Himalayan snow for health monitoring -- An intrusion detection system for health-care system using machine and deep learning -- Diagnosis of COVID-19 through blood sample using ensemble genetic algorithms and machine learning classifier -- COVID-19 image transmission using convolutional neural networks based algorithms for medical applications -- Diagnosis of COVID-19 using 3D CT scans and vaccination for COVID-19 -- Multi-criteria analysis of social isolation barriers amid COVID-19 using fuzzy AHP -- Early flood detection and rescue using bioinformatic devices, internet of things (IOT) and Android application -- Machine learning improvements to compressive sensing for speech enhancement in hearing aid applications -- Automatic epileptic seizure detection using LSTM networks -- Formation of the counter intelligence strategy of Ukraine: national and legal dimension -- Role of machine learning in changing social and business eco-system - a qualitative study to explore the factors contributing to competitive advantage during COVID pandemic -- The rise of 3D E-Commerce: the online shopping gets real with virtual reality and augmented reality during COVID-19 -- Integrating hyperreal literature with CALL in English language curriculum for engineering studies in India: an empirical study of the impact on students' learning.