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Internet of everything meets the metaverse: Bridging physical and virtual worlds with blockchain
Published 2024“…In the Metaverse, humans engage in activities similar to those in the real world, such as socializing, working, attending events, exploring virtual landscapes, creating and trading digital assets, participating in virtual economies, and experiencing entertainment and cultural activities. By using advanced technologies such as IoE, extended reality (XR), artificial intelligence (AI), machine learning (ML), and 6G communication, along with blockchain technology, the Metaverse bridges the physical and virtual worlds. …”
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Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast d...
Published 2020“…Interestingly, the blood glucose level prediction by our model was influenced by use of SGLT2i.</p><h3>Conclusion</h3><p dir="ltr">XGBoost, a machine learning AI algorithm achieves high predictive performance for normal and hyperglycaemic excursions, but has limited predictive value for hypoglycaemia in patients on multiple therapies who fast during Ramadan.…”
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Inventory competition, artificial intelligence, and quality improvement decisions in supply chains with digital marketing
Published 2023“…In the end, this study sheds light on the complex interplay that exists between inventory competition, the use of AI, digital marketing, and judgments about quality improvement. …”
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Food fraud detection using explainable artificial intelligence
Published 2023“…Although the use of AI has been rising in numerous industries, such as precision nutrition, self‐driving cars, precision agriculture, precision medicine and food safety, much of what AI systems do is a black box due to its poor explainability. …”
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Technical Metrics Used to Evaluate Health Care Chatbots: Scoping Review
Published 2020“…Their use is expected to grow with increasing demands on health systems and improving artificial intelligence (AI) capability. …”
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A Review on Membrane Fouling Prediction Using Artificial Neural Networks (ANNs)
Published 2023“…This review addresses the pertinent literature about using ANNs for membrane fouling prediction. Specifically, complementing other existing reviews that focus on mathematical models or broad AI-based simulations, the present review focuses on the use of AI-based fouling prediction models, namely, artificial neural networks (ANNs) and their derivatives, to provide deeper insights into the strengths, weaknesses, potential, and areas of improvement associated with such models for membrane fouling prediction.…”
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Pavement Crack Assessment Using Satellite Remote Sensing and Deep Learning Model
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Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review
Published 2023“…</p><h3>Conclusion</h3><p dir="ltr">It can be concluded that vision transformer-based models are increasingly in popularity for developing AI methods for lung cancer applications. …”
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A scoping review of artificial intelligence-based methods for diabetes risk prediction
Published 2023“…Most studies employed unimodal AI models, with only ten adopting multimodal approaches. …”
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Efficient Detection of Hepatic Steatosis in Ultrasound Images Using Convolutional Neural Networks: A Comparative Study
Published 2023“…<h3>Introduction</h3><p dir="ltr">Artificial Intelligence (AI) is widely used in medical studies to interpret imaging data and improve the efficiency of healthcare professionals. …”
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Power System Stability With High Penetration of Renewable Energy Sources: Challenges, Assessment, and Mitigation Strategies
Published 2025“…It highlights key factors, such as the level of RES penetration, network topology, assessment and mitigation strategies, and the simulation tools used. The PSS methodologies in the literature are categorized into three main categories: model-based, optimization-based, and artificial intelligence (AI)-based approaches. …”
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A Novel Big Data Classification Technique for Healthcare Application Using Support Vector Machine, Random Forest and J48
Published 2022“…In this study, the possibility of using and applying the capabilities of artificial intelligence (AI) and machine learning (ML) to increase the effectiveness of Internet of Things (IoT) and big data in developing a system that supports decision makers in the medical fields was studied. …”
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