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zones » ones (Expand Search), zone (Expand Search)
decrease » decreased (Expand Search), increase (Expand Search)
ines » lines (Expand Search), ones (Expand Search)
machines » machlines (Expand Search), machones (Expand Search)
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Trace Element Composition of Plankton from the Qatari Exclusive Economic Zone (EEZ) of the Arabian Gulf
Published 2020“…<p dir="ltr">Samples from the Marine Exclusive Economic Zone of Qatar and the Arabian Gulf were collected using net tows with mesh sizes of 50 μm (phytoplankton) and 200 μm (zooplankton) to examine the composition of size fractionated plankton populations. …”
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Machine learning in crime prediction
Published 2023“…<div><p>Predicting crimes before they occur can save lives and losses of property. With the help of machine learning, many researchers have studied predicting crimes extensively. …”
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Influence of temperature on tire-pavement noise in hot climates: Qatar case
Published 2021“…There is an apparent trend of decreasing temperature coefficient with increasing mean texture depth of dense graded asphalt pavements. …”
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Thermodynamic analysis of gravity assisted solar-powered reverse osmosis unit for greenhouses situated in a depleted zone
Published 2021“…The system utilises the Atlantic Ocean's hydrostatic pressure to decrease the power consumption of the reverse osmosis (RO) water desalination unit. …”
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Excess pCO2 and carbonate system geochemistry in surface seawater of the exclusive economic zone of Qatar (Arabian Gulf)
Published 2022“…CO2 is lost from the Gulf due to gas exchange, decreasing DIC, and reducing pCO2 to 464 μatm, similar to that observed. …”
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The impact of water table fluctuation and salinity on LNAPL distribution and geochemical properties in the smear zone under completely anaerobic conditions
Published 2023“…In fluctuating columns, pore water sulfate decreased in the middle, but in stable columns, it decreased in the first 40 days, which suggested that sulfate was the primary electron donor and sulfate-reducing bacteria were present. …”
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The Effect of Number of Corrugation on Crashworthiness of Aluminum Corrugated Tube under Lateral Loading
Published 2017“…The results show that tubes with corrugations have a higher mean crushing force which is directly proportional to the number of corrugations. …”
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Excess pCO<sub>2</sub> and carbonate system geochemistry in surface seawater of the exclusive economic zone of Qatar (Arabian Gulf)
Published 2022“…CO<sub>2</sub> is lost from the Gulf due to gas exchange, decreasing DIC, and reducing pCO<sub>2</sub> to 464 μatm, similar to that observed. …”
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Identification of groundwater potential recharge zones in a Tunisian anthropogenic coastal region: Insights from multi-criteria decision-making techniques
Published 2023“…This is the case for the Chiba coastal region (northeast of Tunisia) where excessive extraction of GW has led to decreasing GW levels and an acceleration of seawater intrusion. …”
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Influence of temperature on tire-pavement noise in hot climates: Qatar case
Published 2021“…There is an apparent trend of decreasing temperature coefficient with increasing mean texture depth of dense graded asphalt pavements. …”
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Thermodynamic Analysis of Gravity Assisted Solar-Powered Reverse Osmosis Unit for Greenhouses Situated in a Depleted Zone with Performance Evaluation and Improvements Using Nanoflu...
Published 2021“…The system utilises the Atlantic Ocean's hydrostatic pressure to decrease the reverse osmosis (RO) unit's power consumption. …”
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Trace element composition of size-fractionated suspended particulate matter samples from the Qatari Exclusive Economic Zone of the Arabian Gulf: the role of atmospheric dust
Published 2020“…<p dir="ltr">We analyzed net-tow samples of natural assemblages of plankton, and associated particulate matter, from the Exclusive Economic Zone (EEZ) of Qatar in the Arabian Gulf. Size-fractionated suspended particles were collected using net tows with mesh sizes of 50 and 200 µm to examine the composition of small- and large-size plankton populations. …”
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Machine Learning and Carbonate Reservoirs : A Production Data Perspective on Permeability Modelling
Published 2024“…It was noted that in cases where permeability increases from one well to another, the production data showed a decrease. Removing these producers from the training dataset led to an 10% decrease in ANN performance, highlighting their importance in capturing the non-linear relationship between permeability and production data.…”
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Prediction of critical total drawdown in sand production from gas wells: Machine learning approach
Published 2023“…The RSM correlation decreased the average absolute percent relative error (AAPRE) by 12.7% compared to all published correlations' AAPRE of 22.6%–30.4%. …”
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Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers
Published 2020“…In this paper, different machine learning (ML) approaches are compared for the coordination of EVs charging. …”
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
Published 2024“…The combined feature reduction techniques named as principal component analysis and linear discriminant analysis, have been applied to generate prominent features and decrease the feature vector dimension. Lastly, a newly improved learning algorithm encompasses a modified pelican optimization algorithm (MOD-POA) and an extreme learning machine (ELM) for classification tasks. …”
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An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health
Published 2024“…</p><h3>Methods</h3><p dir="ltr">In this study, we employed machine learning (ML) based case-control study on a diabetic cohort size of 1000 participants form Qatar Biobank to predict diabetes using clinical and bone health indicators from Dual Energy X-ray Absorptiometry (DXA) machines. …”
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Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study
Published 2023“…More specifically, we present a pipeline to develop human-centric embedded machine learning (HC-EML) applications leveraging a generic human-centric AI (HCAI) framework. …”
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