Cigarette use among Arab Americans in the Detroit metropolitan area by Kulwicki, A.

“…With the growing numbers of Middle Eastern immigrants, there is potential for a dramatic increase in smoking-related health problems.…”
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The Jordan and Litani rivers in the Middle East. (c1996) by Rizk, Edgar

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Active Learning Based Federated Learning for Waste and Natural Disaster Image Classification by Lulwa Ahmed (16869936)

“…<p>The feasibility of Federated Learning (FL) is highly dependent on the training and inference capabilities of local models, which are subject to the availability of meaningful and annotated data. …”

The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer by Saidul Kabir (15302407)

“…Materials and Methods A deep learning-based automatic framework was utilized for the automatic detection of Her-2/neu score from whole slide images (WSI). …”

The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer by Saidul, Kabir

“…Materials and MethodsA deep learning-based automatic framework was utilized for the automatic detection of Her-2/neu score from whole slide images (WSI). …”
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Zirconium phytate-based proton conductors for high-temperature fuel cell applications by Nimir, Wessam Ahmed Mohamed

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Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing by Kashif Ahmad (12592762)

“…</p><h3>Results</h3><p dir="ltr">We used 8 different methods on 3 different tasks, achieving up to an average F1 score of 94.8%, indicating the feasibility of the proposed solution. …”

Minimizing user effort in XML grammar matching by Tekli, Joe

“…XML grammar matching has found considerable interest recently, due to the growing number of heterogeneous XML documents on the Web, and the need to integrate, search and retrieve XML documents originated from different data sources. In this study, we provide an approach for automatic XML grammar matching and comparison aiming to minimize the amount of user effort required to perform the match task. …”
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A Deep Learning Approach for Real-Time Analysis of Attendees’ Engagement in Public Events by Samuel Mathew, Sujith

“…Such model can be leveraged for the automatic analysis of attendees’ engagement level in events. …”
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Extensible user-based XML grammar matching by Tekli, Joe

“…XML grammar matching has found considerable interest recently due to the growing number of heterogeneous XML documents on the web and the increasing need to integrate, and consequently search and retrieve XML data originated from different data sources. In this paper, we provide an approach for automatic XML grammar matching and comparison aiming to minimize the amount of user effort required to perform the match task. …”
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Multiple Proposals for Continuous Arabic Sign Language Recognition by Hassan, Mohamed

“…This work presents a comprehensive comparison between two different recognition techniques for continuous ArSLR, namely a Modified k-Nearest Neighbor (MKNN) which is suitable for sequential data and Hidden Markov Models (HMMs) techniques based on two different toolkits. …”
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Throughput of ARQ protocols over Rician, Nakagami and MIMO block fading channels by Zummo, Salam A.

“…Abstract Block fading is a popular channel model that approximates the behavior of different wireless communication systems. Automatic-repeat request (ARQ) protocols are used to provide reliable communication in wireless networks. …”
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An assessment of the impact of sticky floors and glass ceilings in Lebanon by Dah, Abdallah

“…In fact, discrimination against females could occur at different stages of their career path. The wage gap is apparent at the top (glass ceiling) as well as at the bottom (sticky floors) of wage distribution. …”
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Properties of simulated annealing and genetic algorithms for mapping data to multicomputers by Mansour, Nashat

“…These properties of flexibility and general applicability, which are lacking in other heuristic algorithms, make the GA and SA attractive for automatic parallelization systems.…”
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Comparative Study of Deep Learning Models for Unimodal & Multimodal Disaster Data for Effective Disaster Management by MOHAMED, DENA AHMED

“…In this study, a multimodal deep learning system for automatic classification of disaster tweets was developed. …”
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SVG-to-RDF image semantization by Salameh, Khouloud

“…The goal of this work is to provide an original (semi-automatic) annotation framework titled SVG-to-RDF whichconverts a collection of raw Scalable vector graphic (SVG) images into a searchable semantic-based RDF graph structure that encodes relevant features and contents. …”
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XML Grammar Matching and Comparison: Technical Report by Tekli, Joe

“…XML grammar matching has found considerable interest recently, due to the growing number of heterogeneous XML documents on the web, and the increasing need to integrate, and consequently search and retrieve XML documents originated from different data sources. In this study, we provide an approach for automatic XML matching and comparison aiming to minimize the amount of user effort required to perform the match task. …”
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Sensor-Based Signer Independent Continuous Arabic Sign Language Recognition by Hassan, Mohamed

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Analysing waves in blood to understand heart disease by Nature Research (16552612)

“…This also means it relaxes more afterwards, causing a dramatic increase in the BDW. This is swiftly reversed when the condition is treated. …”

Comparative Study of the Structural Behaviour of Cast Acrylic & Laminated Glass Under the Impact of Dynamic Loading in Aquatic Applications by ABUZOUR, MOHAMMED A. E.

“…LG sheets expressed a dramatic increase in the applied stress against the increment of the colliding mass, however, they could remain more conservative against recorded deflection magnitudes under the same increment set of moving mass. …”
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