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Ku Muhammad Naim Ku Khalif, Woo Chaw Seng, Alexander Gegov, Ahmad Syafadhli Abu Bakar and Nur Adibah Shahrul
Convolutional Neural Networks (CNNs) have garnered significant utilisation within automated image classification systems. CNNs possess the ability to leverage the spatial and temporal correlations inherent in a dataset. This study delves into the use of ...
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Rafal J. Doniec, Natalia J. Piaseczna, Karen A. Szymczyk, Barbara Jacennik, Szymon Siecinski, Katarzyna Mocny-Pachonska, Konrad Duraj, Tomasz Cedro, Ewaryst J. Tkacz and Wojciech M. Glinkowski
The progress in telemedicine can be observed globally and locally. Technological changes in telecommunications systems are intertwined with developments in telemedicine. The recent COVID-19 pandemic has expanded the potential of teleconsultations and tel...
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S Saripudin,Sumarto Sumarto,E A Juanda
Pág. 12 - 23
The aim of this study is to find out the utilization of the internet and the internet access of vocational teachers at the vocational schools during the COVID-19 pandemic. The research uses a descriptive quantitative method and the research instrum...
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Dag Øivind Madsen, Terje Berg and Mario Di Nardo
The emergence of Industry 5.0 took place in the mid-2010s, presenting a novel vision for the future of an industry that places emphasis on human involvement in the production process. Following the outbreak of the COVID-19 pandemic, there has been a subs...
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Godwin Kaisara and Kelvin Joseph Bwalya
Mobile learning is a global trend, which has become more widespread in the post-COVID-19 pandemic era. However, with the adoption of mobile learning comes new assessment approaches to evaluate the understanding of the acquired information and knowledge. ...
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