Current and future applications of statistical machine learning algorithms for agricultural machine vision systems
With being rapid increasing population in worldwide, the need for satisfactory level of crop
production with decreased amount of agricultural lands. Machine vision would ensure the …
production with decreased amount of agricultural lands. Machine vision would ensure the …
Scalable deep learning on distributed infrastructures: Challenges, techniques, and tools
R Mayer, HA Jacobsen - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Deep Learning (DL) has had an immense success in the recent past, leading to state-of-the-
art results in various domains, such as image recognition and natural language processing …
art results in various domains, such as image recognition and natural language processing …
Prediction of user's intention to use metaverse system in medical education: A hybrid SEM-ML learning approach
Metaverse (MS) is a digital universe accessible through a virtual environment. It is
established through the merging of virtually improved physical and digital reality. Metaverse …
established through the merging of virtually improved physical and digital reality. Metaverse …
SEM-machine learning-based model for perusing the adoption of metaverse in higher education in UAE
The metaverse is an imaginary network of parallel universes. Using this technology might
liven up dull lecture halls. By expanding synchronous communication into the" metaverse," …
liven up dull lecture halls. By expanding synchronous communication into the" metaverse," …
Predicting the intention to use google glass: A comparative approach using machine learning models and PLS-SEM
Technology-based education is the modern-day medium that is widely being used by
teachers and their students to exchange information over applications based on Information …
teachers and their students to exchange information over applications based on Information …
Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic
RS Al-Maroof, SA Salloum, AE Hassanien… - Interactive Learning …, 2023 - Taylor & Francis
This study seeks to explore the effect of fear emotion on students' and teachers' technology
adoption during COVID-19 pandemic. The study has made use of Google Meet© as an …
adoption during COVID-19 pandemic. The study has made use of Google Meet© as an …
[HTML][HTML] Early prediction of hypothyroidism and multiclass classification using predictive machine learning and deep learning
Thyroid disease is considered one of the most common health disorders, which may lead to
various health problems. Recent studies reveal that approximately 42 million people in India …
various health problems. Recent studies reveal that approximately 42 million people in India …
[HTML][HTML] Using machine learning algorithms to predict people's intention to use mobile learning platforms during the COVID-19 pandemic: Machine learning approach
Background: Mobile learning has become an essential instruction platform in many schools,
colleges, universities, and various other educational institutions across the globe, as a result …
colleges, universities, and various other educational institutions across the globe, as a result …
Predicting the actual use of m-learning systems: a comparative approach using PLS-SEM and machine learning algorithms
Despite the plethora of m-learning acceptance studies, few have tackled the importance of
examining the actual use of m-learning systems from the lenses of social influence …
examining the actual use of m-learning systems from the lenses of social influence …
[HTML][HTML] Novel machine learning based approach for analysing the adoption of metaverse in medical training: A UAE case study
The outbreak of the COVID-19 pandemic led to disruptions in the delivery of medical training
across borders, posing challenges in observing and practicing advanced surgical …
across borders, posing challenges in observing and practicing advanced surgical …