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Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030)
Published 2024“…However, agricultural areas decreased from 152.13 km<sup>2</sup> (18.5%) in 1980 to 140.38 km<sup>2</sup> (17%) in 2023, while barren lands decreased from 54.44 km<sup>2</sup> (6.6%) in 1980 to 34.71 km<sup>2</sup> (4.22%) in 2023. …”
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Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers
Published 2020“…ML models used in this paper are (1) Decision Tree (DT), (2) Random Forest (RF), (3) Support Vector Machine (SVM), (4) Naïve Bayes (NB), (5) K-Nearest Neighbors (KNN), (6) Deep Neural Networks (DNN), and (7) Long Short-Term Memory (LSTM). …”
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An Evaluation of Short-Term Effects of Different Soil Management Systems on Soil Physical, Structural and Hydraulic Properties and an Estimation and Optimization of Water Infiltrat...
Published 2022“…In both soils, tillage application decreased the densities, the aggregate mean weight diameter, the residual moisture content, and the fine pore volumes while increased the organic matter content, the porosity, the saturated hydraulic conductivity, and the amount of large pores of undisturbed soil. …”
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Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction
Published 2020“…The latter can not only reduce feature dimensionality, but it can also effectively decrease the intra-class distances and increase the extra-class distances of appliance features; and (iii) a powerful decision bagging tree classifier is implemented to accurately classify electrical devices using the reduced features. …”
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Investigating the impact of remittance outflows and oil price on economic growth in Gulf Cooperation Council countries
Published 2023“…This study utilizes the nonlinear augmented mean group method to explore the possible asymmetric impact of remittance outflows on economic growth in Gulf Cooperation Council (GCC) countries for the period of 2000–2019. …”
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Disrupted harvests: how Ukraine – Russia war influences global food systems – a systematic review
Published 2024“…Consequently, conducting extensive research into the conflict’s medium- and long-term consequences is crucial, especially in the context of developing countries, which have hitherto been largely overlooked in prior research.…”
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Mortality and socio-economic outcomes among patients hospitalized for stroke and diabetes in the US: a recent analysis from the National Inpatient Sample
Published 2021“…In those patients, the mean (SD) age slightly decreased from 70 (13) years to 69 (13) years (p-trend < 0.001). …”
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The Triple “S” Impact of COVID-19: Nationwide Evidence of the Impact of the Stress Associated With Restrictive Measures on Substance Use, Sleep, and Social Connectedness in Qatar...
Published 2023“…Of tobacco users in our sample, 36% reported increased tobacco use since the start of home confinement, while 41.6% of alcohol users reported decreased alcohol use. Concerning sleep, 46.1% reported an increase in average sleep duration per day (0.77 h mean increase, 95% CI: 0.66-0.88, P<0.001), and a third of participants reported poorer sleep quality. …”
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Women’s empowerment as a determinant of neonatal mortality in Sub-Saharan Africa: a narrative review focused on Nigeria
Published 2024“…While this is potentially a long-term solution, short and medium-term recommendations were also proffered. …”
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Food purchase and eating behavior during the COVID-19 pandemic: A cross-sectional survey of Russian adults
Published 2021“…Indeed, the survey results suggested (i) a change in the modality of acquiring food, consumers reduced the number of shopping trips and buying more on each trip to minimize store visits; (ii) a surge of stockpiling of non-perishable food items; (iii) a shift toward healthier diets; (iv) an increase in culinary capabilities; (v) a decrease of food waste. The results are expected to inform current emergency plans as well as long-term food-related strategies in Russia.…”
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