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1
Intelligent Rapidly-Exploring Random Tree Star Algorithm
Published 2024Get full text
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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“…A novel approach for an efficient network-on-chip using a modified Fat Tree is presented. Contention is eliminated and latency is reduced through an improved topology and router architecture. …”
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Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark
Published 2021“…Multiple tree-based machine learning algorithms are tested with parallel computation to evaluate the performance with tunable parameters on a real-world dataset. …”
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Habitat in flames: How climate change will affect fire risk across koala forests
Published 2023“…</p><p><br></p><h3>Location:</h3><p dir="ltr">Australia.</p><p><br></p><h3>Time period:</h3><p dir="ltr">Present and 2070.</p><p><br></p><h3>Major taxa studied:</h3><p dir="ltr">60 main tree species browsed by koalas.…”
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Using a Time Timer™ to increase appropriate waiting behavior in a child with developmental disabilities
Published 2009“…This study aimed to examine the use of a predictive stimulus (Time Timer™) and delayed reinforcement to increase appropriate waiting behavior in a child with developmental disabilities and problem behavior maintained by access to tangible items and activities. …”
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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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Protecting Smart Homes: A study on AI approaches to Detect Malwares and Developing a Two Factor Authentication System Based on SRAM PUF For Smart Home Users in UAE
Published 2025“…However, at the same time smart home users are vulnerable to cyber incidents if these devices are not secured against the cyber-attacks. …”
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How FIFA World Cup 2022™ can meet the carbon neutral commitments and the United Nations 2030 Agenda for Sustainable Development?: Reflections from the tree nursery project in Qatar...
Published 2023“…It was also found that the amount of carbon footprint reduction after the FIFA World Cup 2022 is expected to increase steadily during the average life expectancy of the trees assessed, which were evaluated to be circa 135 years. …”
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Predicting Hypoglycemia in Diabetic Patients using Machine Learning Techniques
Published 2014Get full text
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Sentiment visualization of correlation of loneliness mapped through social intelligence analysis
Published 2024“…In the second part, interactive visualizations are developed to present the findings in an engaging and intuitive manner. Techniques such as tree maps and radar plots are utilized to transform the analyzed data into visually appealing representations.…”
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Cardiac phosphodiesterases are differentially increased in diabetic cardiomyopathy
Published 2021“…Significance We show for the first time differential and time-specific regulations in cardiac PDEs, data that may prove useful in proposing new therapeutic approaches in T1D-induced DCM.…”
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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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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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