24 hasil untuk "Sadiq"
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Artikel Jurnal Teks lengkap
The disaster of misinformation: a review of research in social media
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Artikel Jurnal Teks lengkap
The impact of natural resource rent, financial development, and urbanization on carbon emission
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Artikel Jurnal
Empowering learners for the age of artificial intelligence
Although studied for decades by the research community, artificial intelligence (AI) in education has recently sparked much public debate with the wide-spread popularity of systems such as ChatGPT and DALL-E. Existing literature offers a wealth of research on design, deploying and evaluating…
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Artikel Jurnal
Rethinking engineering education at the age of industry 5.0
During the last two decades, profound technological changes have taken place around us, supported by disruptive advances, both on the software and hardware sides. An amalgamation of information, communication, and artificial intelligence is taking place, as well as the cross-fertilization of a wide…
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Artikel Jurnal
Promoting green behavior through ethical leadership: a model of green human resource management and environmental knowledge
Purpose This paper aims to investigate the influence of supervisor's ethical leadership style on subordinates' green or pro-environmental work behavior in the presence of green human resource management (GHRM) as a mediator and environmental knowledge as a moderator. Design/methodology/approach A…
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Artikel Jurnal Teks lengkap
Why do retail consumers buy green apparel? A knowledge-attitude-behaviour-context perspective
Consumers' increased knowledge and awareness of environmental issues have not translated into a pervasive rise in purchasing green apparel, resulting in a phenomenon known as the ‘attitude-behaviour gap’. The current study seeks to explicate this gap by examining the drivers of green apparel buying…
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Artikel Jurnal Teks lengkap
6G Wireless Communications Networks: A Comprehensive Survey
The commercial fifth-generation (5G) wireless communications networks have already been deployed with the aim of providing high data rates. However, the rapid growth in the number of smart devices and the emergence of the Internet of Everything (IoE) applications, which require an ultra-reliable…
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Artikel Jurnal Teks lengkap
Impact of AI assistance on student agency
AI-powered learning technologies are increasingly being used to automate and scaffold learning activities (e.g., personalised reminders for completing tasks, automated real-time feedback for improving writing, or recommendations for when and what to study). While the prevailing view is that these…
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Artikel Jurnal Teks lengkap
A Survey of Rate-Optimal Power Domain NOMA With Enabling Technologies of Future Wireless Networks
The ambitious high data-rate applications in the envisioned future beyond fifth-generation (B5G) wireless networks require new solutions, including the advent of more advanced architectures than the ones already used in 5G networks, and the coalition of different communications schemes and…
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Artikel Jurnal Teks lengkap
Improving the Prediction of Heart Failure Patients’ Survival Using SMOTE and Effective Data Mining Techniques
Cardiovascular disease is a substantial cause of mortality and morbidity in the world. In clinical data analytics, it is a great challenge to predict heart disease survivor. Data mining transforms huge amounts of raw data generated by the health industry into useful information that can help in…
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Artikel Jurnal
Variation In Telemedicine Use And Outpatient Care During The COVID-19 Pandemic In The United States
Coronavirus disease 2019 (COVID-19) spurred a rapid rise in telemedicine, but it is unclear how use has varied by clinical and patient factors during the pandemic. We examined the variation in total outpatient visits and telemedicine use across patient demographics, specialties, and conditions in a…
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Artikel Jurnal Teks lengkap
Trends in Outpatient Care Delivery and Telemedicine During the COVID-19 Pandemic in the US
This cohort study examines trends in the use of telemedicine and in-person outpatient visits in 2020 among a national sample of 16.7 million individuals with commercial or Medicare Advantage insurance.
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Artikel Jurnal Teks lengkap
A Comparative Study of Random Forest and Genetic Engineering Programming for the Prediction of Compressive Strength of High Strength Concrete (HSC)
Supervised machine learning and its algorithm is an emerging trend for the prediction of mechanical properties of concrete. This study uses an ensemble random forest (RF) and gene expression programming (GEP) algorithm for the compressive strength prediction of high strength concrete. The…
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Buku
Groundswell Part 2
This sequel to the Groundswell report includes projections and analysis of internal climate migration for three new regions: East Asia and the Pacific, North Africa, and Eastern Europe and Central Asia. Qualitative analyses of climate-related mobility in countries of the Mashreq and in Small Island…
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Artikel Jurnal
Tools and Techniques for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/COVID-19 Detection
The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory disease coronavirus 2 (SARS-CoV-2), has led to millions of confirmed cases and deaths worldwide. Efficient diagnostic tools are in high demand, as rapid and large-scale testing plays a pivotal role in patient…
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Artikel Jurnal
Explainable Artificial Intelligence in education
There are emerging concerns about the Fairness, Accountability, Transparency, and Ethics (FATE) of educational interventions supported by the use of Artificial Intelligence (AI) algorithms. One of the emerging methods for increasing trust in AI systems is to use eXplainable AI (XAI), which promotes…
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Artikel Jurnal Teks lengkap
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
Uncertainty quantification (UQ) methods play a pivotal role in reducing the impact of uncertainties during both optimization and decision making processes. They have been applied to solve a variety of real-world problems in science and engineering. Bayesian approximation and ensemble learning…
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Artikel Jurnal
Tuning of graphitic carbon nitride (g-C3N4) for photocatalysis: A critical review
Graphitic carbon nitride (g-C3N4) is a remarkable semiconductor catalyst that has attracted widespread attention as a visible light photo-responsive, metal-free, low-cost photocatalytic material. Pristine g-C3N4 suffers fast recombination of photogenerated electron-hole pairs, low surface area, and…