AI-based remaining useful life prediction and modelling of seawater desalination membranes by Al Ali, Fajer

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Knowledge-based Deep Learning for Modeling Chaotic Systems by Elabid, Zakaria

“…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 by Husseini, Ghaleb

“…The deep learning-based predictions significantly outperform linear predictions, proving the utility of advanced computational methods in drug delivery. …”
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Detecting Mental Stress using EEG and Deep Learning by Badr, Yara

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Methylation at global LINE-1 repeats in human blood are affected by gender but not by age or natural hormone cycles by El Maarri, Osman

“…However, the previously reported increase of LINE-1 methylation in males was reconfirmed. …”
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Assessment of tropospheric NO₂ concentrations over greater Doha using Sentinel-5 TROPOspheric monitoring instrument (TROPOMI) satellite data: Temporal analysis, 2018–202... by Yasir E. Mohieldeen (22155901)

“…<p dir="ltr">This study presents a temporal evaluation of the tropospheric NO₂ column densities over Greater Doha using TROPOMI satellite data from May 2018 to December 2023, and an assessment of the impact of the preparations and hosting of the FIFA Football World Cup Qatar 2022, on NO₂ levels before, during and after the tournament over Greater Doha. …”

Awareness and education are the most significant elements for safe driving behavior and better life quality by Amal Abdul Aziz Sabri (19772844)

“…<p dir="ltr">Traffic has become essential to our daily life. It is necessary to handle it properly by means of prediction, planning and management. …”

Targeting Breast Cancer Using Hyaluronic Acid-Conjugated Liposomes Triggered with Ultrasound by Ben-Daya, Mohamed

“…HA conjugation to the liposomes resulted in a significant increase in calcein uptake by the breast cancer cell line MDA-MB-231 known for its CD44 (HA receptor) overexpression, while such an effect was not recorded with NIH-3T3, an embryonic mouse fibroblast, with low levels of CD44 expression. …”
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Life cycle assessment on fabrication and characterization techniques for additively manufactured polymers and polymer composites by Ans Al Rashid (14777050)

“…<p>Life cycle assessment (LCA) is a powerful tool to evaluate the environmental impacts of any domestic or industrial activity consuming goods and services. …”

Sustainable construction and life cycle assessment in Qatar: industry challenges, adoption, and policy implications by Shahram Tahmasseby (14158965)

“…<p dir="ltr">Sustainable construction is a key priority for Qatar, aligning with Qatar National Vision 2030 and the country’s commitment to environmental sustainability. Life Cycle Assessment (LCA) is a crucial tool for evaluating the environmental impact of construction projects, yet its adoption in Qatar remains limited due to financial constraints, regulatory inconsistencies, and lack of industry expertise. …”

Neuron-level Interpretation of Deep NLP Models: A Survey by Hassan Sajjad (5297441)

“…<p dir="ltr">The proliferation of Deep Neural Networks in various domains has seen an increased need for interpretability of these models. …”

Artificial Intelligence Chatbots: A Survey of Classical versus Deep Artificial Intelligence Chatbots: A Survey of Classical versus Deep Machine Learning Techniques by A. Alazzam, Bayan

“…In addition to classical ML techniques, Deep Learning (DL) has attracted many researchers to develop chatbots using more sophisticated and accurate techniques. …”
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Use of deep vein thrombosis prophylaxis in hospitalized cancer patients by Awar, Zeina

“…Several options are available to increase physicians' awareness of the problem.…”
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A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass by Uzma Nawaz (21980708)

“…The increase in imagery data has in turn created a demand for automated detection and classification using deep neural network-based techniques. …”

A BRET-based Mpro biosensor containing a nanobody and tandem cleavage sites shows an increased cleavage rate by Geethakumari, Anupriya M

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A comparative study of the antiproliferative effect of kohlrabi and green cabbage on colorectal cancer cell lines. (c2012) by Zarzour, Valia M.

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Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA by Muhammad Shehab (16904880)

“…As the imperfection increases by ten times, the rate decreases by more than 10%.…”

Performance analysis of power line communication systems with diversity combining under correlated lognormal fading and Nakagami noise by Abou-Rjeily, Chadi

“…In this study, the authors evaluate the bit error rate (BER) performance of multichannel power line communication (PLC) systems under lognormal fading and Nakagami-m background noise. …”
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Daucus carota pentane-based fractions arrest the cell cycle and increase apoptosis in MDA-MB-231 breast cancer cells by Shebaby, Wassim N.

“…Methods and results Using the WST assay, the pentane fraction (F1) and 1:1 pentane:diethyl ether fraction (F2) were shown to possess the highest cytotoxicity against both cell lines. Flow cytometric analysis revealed that both fractions induced the accumulation of cells in the sub-G1 phase, increase in apoptotic cell death and chromatin condensation. …”
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The anti-cancer effect of the pentane fraction of Daucus carota oil extract is mediated through cell cycle arrest and an increase in apoptosis by Mroueh, MA

“…Previous studies from our laboratory demonstrated the in vitro anticancer activities of Daucus carota oil extract (DCOE) on colon and breast human cancer cell lines. In the current study, we aimed at fractionating the Daucus carota oil extract (DCOE) and analyzing the in vitro anticancer activities of the obtained fractions. …”
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