Suchergebnisse

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.

Computing has become an integral part of an engineering education. From the moment a student arrives on the University of Wisconsin—Madison campus, until graduation with advanced degrees, the educational program provides convenient access to appropriate computing facilities to enhance a student's experience and expand learning opportunities. If engineering education is to contribute to future industrial growth and economic recovery, graduates must be well grounded in the principles and techniques of computer aided engineering in research, design, and manufacturing.