Immersive virtual reality in the age of the Metaverse: A hybrid-narrative review based on the technology affordance perspective
E Dincelli, A Yayla - The journal of strategic information systems, 2022 - Elsevier
Immersive virtual reality (VR) that utilizes head-mounted displays (HMD) is one of the key
emerging technologies of the 21st century and has drawn keen attention from consumers …
emerging technologies of the 21st century and has drawn keen attention from consumers …
A comprehensive survey on recent metaheuristics for feature selection
Feature selection has become an indispensable machine learning process for data
preprocessing due to the ever-increasing sizes in actual data. There have been many …
preprocessing due to the ever-increasing sizes in actual data. There have been many …
Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models
Generative Large Language Models (LLMs) such as GPT-3 are capable of generating highly
fluent responses to a wide variety of user prompts. However, LLMs are known to hallucinate …
fluent responses to a wide variety of user prompts. However, LLMs are known to hallucinate …
Global prevalence of mental health issues among the general population during the coronavirus disease-2019 pandemic: a systematic review and meta-analysis
To provide a contemporary global prevalence of mental health issues among the general
population amid the coronavirus disease-2019 (COVID-19) pandemic. We searched …
population amid the coronavirus disease-2019 (COVID-19) pandemic. We searched …
The values encoded in machine learning research
Machine learning currently exerts an outsized influence on the world, increasingly affecting
institutional practices and impacted communities. It is therefore critical that we question …
institutional practices and impacted communities. It is therefore critical that we question …
Modelling impacts of climate change and anthropogenic activities on inflows and sediment loads of wetlands: Case study of the Anzali wetland
Understanding the effects of climate change and anthropogenic activities on the
hydrogeomorpholgical parameters in wetlands ecosystems is vital for designing effective …
hydrogeomorpholgical parameters in wetlands ecosystems is vital for designing effective …
Modeling and prediction of land use land cover change dynamics based on land change modeler (Lcm) in nashe watershed, upper blue nile basin, Ethiopia
Change of land use land cover (LULC) has been known globally as an essential driver of
environmental change. Assessment of LULC change is the most precise method to …
environmental change. Assessment of LULC change is the most precise method to …
A systematic review of automatic question generation for educational purposes
While exam-style questions are a fundamental educational tool serving a variety of
purposes, manual construction of questions is a complex process that requires training …
purposes, manual construction of questions is a complex process that requires training …
Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study
Background Non-contrast head CT scan is the current standard for initial imaging of patients
with head trauma or stroke symptoms. We aimed to develop and validate a set of deep …
with head trauma or stroke symptoms. We aimed to develop and validate a set of deep …
[HTML][HTML] Accuracy and acceptability of wrist-wearable activity-tracking devices: systematic review of the literature
Background Numerous wrist-wearable devices to measure physical activity are currently
available, but there is a need to unify the evidence on how they compare in terms of …
available, but there is a need to unify the evidence on how they compare in terms of …