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Optimization of multiple fuel utilization options in Tri-generation systems
Published 2023“…<p dir="ltr">This work investigates the design of optimal tri-generation systems for heat, power and water production via multiple fuel selections, thus aiming to reduce the reliance on fossil fuel consumption. …”
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Modeling of tri-parameter contracts integrating cost, time and risk
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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“…This study aimed to model past, present, and future LULCC on Land Surface Temperatures in the Greater Amman Municipality (GAM) in Jordan between 1980 and 2030. …”
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The Effect of High Dose Isoflavone Supplementation on Serum Reverse T3 in Euthyroid Men With Type 2 Diabetes and Post-menopausal Women
Published 2018“…</p><h3>Conclusion</h3><p dir="ltr">Soy isoflavones transiently increased rT3 levels within 3 months though reverted to baseline at 6 months. …”
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Intelligent Rapidly-Exploring Random Tree Star Algorithm
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A comparison of peer, teacher and self-feedback on the reduction of language errors in student essays
Published 2016“…However, comparison of students' performance on lexical errors at the immediate post-test revealed that the self-feedback group significantly decreased this error percentage compared to the peer feedback group. …”
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Estimating Economic and Environmental Benefits of Urban Trees in Desert Regions
Published 2020“…In addition, trees have other benefits including increasing property value, intercepting storm water runoff and saving energy needed for cooling of buildings in hot seasons. …”
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An Efficient Network-on-Chip Architecture Based on the Fat-Tree (FT) Topology
Published 2006“…The adopted topology increases performance without a substantial increase in the routing cost. …”
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Coalition game theoretic P2P trading in a distribution network integrity-ensured local energy market
Published 2023“…This paper presents a peer-to-peer (P2P) trading-enabled local energy market (LEM) mechanism and analyses it in the Australian market context to verify its feasibility. …”
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Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark
Published 2021“…However, with the huge increase in data size, sophisticated models have to be created which require big data platforms. …”
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Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
Published 2023“…However, they might not perform as expected, take much time in training, or not have enough input data to generalize well. To that end, deep transfer learning (DTL) and deep domain adaptation (DDA) have recently been proposed as promising solutions to alleviate these issues. …”
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Increasing methylation of sperm rDNA and other repetitive elements in the aging male mammalian germline
Published 2020“…<p dir="ltr">In somatic cells/tissues, methylation of ribosomal DNA (rDNA) increases with age and age‐related pathologies, which has a direct impact on the regulation of nucleolar activity and cellular metabolism. …”
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Deep Learning for Arabic Error Detection and Correction
Published 2020“…We introduce an approach that investigates employing deep neural network technology for error detection in Arabic text. …”
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Knowledge-based Deep Learning for Modeling Chaotic Systems
Published 2022“…Deep Learning has received increased attention due to its unbeatable success in many fields, such as computer vision, natural language processing, recommendation systems, and most recently in simulating multiphysics problems and predicting nonlinear dynamical systems. …”
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Deep Learning for the Accurate Prediction of Triggered Drug Delivery
Published 2024“…The deep learning-based predictions significantly outperform linear predictions, proving the utility of advanced computational methods in drug delivery. …”
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