Pleiotropic functions of the tumor- and metastasis-suppressing matrix metalloproteinase-8 in mammary cancer in MMTV-PyMT transgenic mice by Julie Decock (44558)

“…Likewise, lung metastasis dramatically increased in the MMTV-PyMT; Mmp8-null mice. …”

An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control by Mahmoud Dahmani (18810247)

“…The first three techniques were automatic, employ correlation, and were variants of template matching, whereas the last one uses convolutional neural networks (CNNs). …”

Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing by Nauman Ullah Gilal (17302714)

“…To this end, the food computing community has compiled a variety of data sets and developed various deep-learning architectures to perform automatic classification. However, automated food classification presents a significant challenge, particularly when it comes to local and regional cuisines, which are often underrepresented in available public-domain data sets. …”

Can AI Help in Screening Viral and COVID-19 Pneumonia? by Muhammad E. H. Chowdhury (14150526)

“…The networks were trained to classify two different schemes: i) normal and COVID-19 pneumonia; ii) normal, viral and COVID-19 pneumonia with and without image augmentation. …”

An Anchor-Based Localization in Underwater Wireless Sensor Networks for Industrial Oil Pipeline Monitoring by Nitin Goyal (7876730)

“…<p dir="ltr">Industries need solutions that can automatically monitor oil leakage from deployed underwater pipelines and to rapidly report any damage. …”

Earned Height Management: A New Extension to EVM for High-Rise Construction by Khuzam, Shadi Abu

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A clustering metaheuristic for large orienteering problems by Almiqdad Elzein (13141038)

“…The metaheuristic aims to dramatically improve the computation time of a given Orienteering Problem algorithm without a significant decrease in the solution quality of that algorithm, especially for large Orienteering Problems. …”

Building A Passive Thermal Management System Using Phase Change Material Embedded In Porous Media by Azzam, Mohammed H. A.

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Colon cancer classification using microarray data by Tariq Khan, Saima

“…In treating cancer time is of the essence and early detection can dramatically increase the chances of survival. Imaging techniques, which are the prevalent method of detection and diagnosis, are only useful once the cancerous growth has become visible.However, if techniques that detect cancerous processes at a genetic level are utilized then the cancerous tissues could be identified, and the disease diagnosed much earlier, thus giving a far better prognosis.Therefore, the aim of this thesis is to evaluate the performance of a variety of different classification methods with a particular dataset containing genetic samples of both normal and cancerous biopsies of the colon tissue.A classifier will be recommended which is able to learn the patterns within the microarray data that best determines the classification of the samples.…”
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Fixed Shading Scenarios to Optimize Lighting Performance and Energy Efficiency in Office Buildings Case Study of Dubai Design District by Hamad, Khadije

“…The results show that external fixed shading devices on the office building façade reduce energy consumption dramatically, increasing building efficiency and performance. …”
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Status of female teachers in the Middle East and North Africa Region by Ayyash-Abdo, Huda

“…In light of this assessment, implications are drawn to dramatically increase the time committed to in-service and pre-service training as well as mentor programs. …”
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Consumer Health Search on the Web: Study of Web Page Understandability and Its Integration in Ranking Algorithms by Joao Palotti (8479842)

“…</p><p><br></p><h3>Methods:</h3><p dir="ltr">Our investigation considered methods to automatically estimate the understandability of health information in Web pages, and it provided a thorough evaluation of these methods using human assessments as well as an analysis of preprocessing factors affecting understandability estimations and associated pitfalls. …”

Bridge Structural Health Monitoring Using Mobile Sensor Networks by Amin, Fouad

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Combined effects of treated domestic wastewater, fly ash, and calcium nitrite toward concrete sustainability by Abdelrahman Abushanab (17268940)

“…Test results revealed that TWW slightly decreased concrete compressive and flexural strengths by 5%–12%, whereas it dramatically increased the porosity and chloride permeability by about 40%. …”

Virtual topologies for massively parallel computations. (c2015) by Jahed, Karim A.

“…This communication overhead will only increase as we scale-up the computation, up to the point where adding new cores negatively affects the computational time. …”
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Microwave-Assisted Palladium-Catalyzed Cross-Coupling Reactions: Generation of Carbon–Carbon Bond by Kifah S. M. Salih (7854269)

“…Chemical reactions under controlled microwave conditions dramatically reduce the reaction time and therefore resulting in increase in the yield of the desired product by minimizing the formation of side products. …”

Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms by Zhongqiang Ma (13765801)

“…For fair comparisons, a parameter tuning tool named irace is used to automatically configure the parameters of all 15 algorithms. …”

Carbonate Effects on Hexavalent Uranium Adsorption by Iron Oxyhydroxide by Wazne, Mahmoud

“…Carbonate dramatically affects the adsorption of uranium (U(VI)) onto iron hydroxides and its mobility in the natural environment. …”
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Scalable Generation of Mesenchymal Stem Cells and Adipocytes from Human Pluripotent Stem Cells by Manale Karam (3619412)

“…Disruption of cell adhesion induced the subsequent differentiation of the highly expanded RA-derived EB-forming cells into a pure population of multipotent MSCs (up to 1542-fold increase in comparison to RA-untreated counterparts). …”

An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge by Zaulkernan, Imran

“…While performance of the trained models was statistically different (Kruskal–Wallis: Accuracy H(5) = 22.34, p < 0.05; F1-score H(5) = 13.82, p = 0.0168), there was only a 3% difference in the F1-score between the worst (MobileNet V2) and the best model (Xception). …”
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