Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review حسب Alaa Abd-alrazaq (17058018)

"…A narrative approach was used for data synthesis.</p><h3>Results</h3><p dir="ltr">The search process returned 1470 records. …"

Inertial Navigation system of In-pipe Inspection Robot حسب Al-Masri, Wasim

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Prototype project management tool (PPMT) with cocomo calibration. (c1998) حسب Haddad, Ibrahim F.

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Developing a framework for using face recognition in transit payment transactions حسب HABEH, ORABI MOHAMMAD ABDULLAH

"…This solution considers an effective cost-based solution. The second solution is proposed based on implementing a dedicated full HD face recognition stereo camera system on top of each metro gate and integrate it with the recommended “Banking Payment Context- Account Based Ticketing System” by using the MFcoface face recognition method which results from the systematic literature review and experts’ outcomes. …"
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Failure recovery in wireless content distribution networks with device-to-device cooperation حسب Sharafeddine, Sanaa

"…We present low complexity effective algorithms based on clustering and tree construction methods in order to address three different types of dynamic node behavior, namely new devices joining the network, existing devices leaving the network, and existing devices moving locally within the network. …"
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A novel few shot learning derived architecture for long-term HbA1c prediction حسب Marwa Qaraqe (10135172)

"…Short-term CGM time-series data are processed using both novel image transformation approaches, as well as using conventional signal processing methods. …"

A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem حسب Abu Zitar, Raed

"…Due to the complex nature of the capacitated vehicle routingproblem, metaheuristic optimization algorithms are widely used for tackling this type of challenge.Coronavirus Herd Immunity Optimizer (CHIO) is a recent metaheuristic population-based algorithm thatmimics the COVID-19 herd immunity treatment strategy. …"
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Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging حسب Maricar, Mohammed Farook

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A Framework for Predictive Modeling in Sustainable Projects حسب Labban, Tarek

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THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar حسب M. Walid Qoronfleh (14153088)

"…Consequently, the big data revolution has provided an opportunity to apply artificial intelligence and machine learning algorithms to mine such a vast data set. …"

Tailoring motivational health messages for smoking cessation using an mHealth recommender system integrated with an electronic health record: a study protocol حسب Santiago Hors-Fraile (5950823)

"…Health recommender systems are information-filtering algorithms that can choose the most relevant health-related items—for instance, motivational messages aimed at smoking cessation—for each user based on his or her profile. …"

Approximate XML structure validation technical report حسب Tekli, Joe

"…Our method also inherently performs exact validation by imposing a maximum similarity threshold (minimum edit distance) on the returned results. …"
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Prediction of Multiple Clinical Complications in Cancer Patients to Ensure Hospital Preparedness and Improved Cancer Care حسب Regina Padmanabhan (14231606)

"…Other highlights are (1) a novel set of easily available features for the prediction of the aforementioned clinical complications and (2) the use of data augmentation methods and model-scoring-based hyperparameter tuning to address the problem of class disproportionality, a common challenge in medical datasets and often the reason behind poor event prediction rate of various predictive models reported so far. …"

Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches حسب Mohammad, Areej Osama

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Quality Degradation And Pricing of Perishable Food Products حسب Alastal, Haya

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Single-channel speech denoising by masking the colored spectrograms حسب Sania Gul (18272227)

"…Similarly, it offers an improvement of 1 % in STOI and a reduction of 33 and 200 times, respectively, in network size and training epochs when compared to a complex variational U-Net-based model. Also, with comparable PESQ, the proposed system offers almost 2 % improvement in STOI, and a 2 times reduction in network size and 100 times reduction in training epochs, when compared to a lightweight system using automatic dimension reduction of network layers by a structured pruning method.…"

Automated systems for diagnosis of dysgraphia in children: a survey and novel framework حسب Jayakanth Kunhoth (14158908)

"…This work discusses the data collection method, important handwriting features, and machine learning algorithms employed in the literature for the diagnosis of dysgraphia. …"

Gene-specific machine learning model to predict the pathogenicity of BRCA2 variants حسب Mohannad N. Khandakji (13885434)

"…Local, gene-specific information have been shown to aid variant pathogenicity prediction; therefore, our aim was to develop a BRCA2-specific machine learning model to predict pathogenicity of all types of BRCA2 variants.</p><p><br></p><h3>Methods</h3><p dir="ltr">We developed an XGBoost-based machine learning model to predict pathogenicity of BRCA2 variants. …"

Designing Cellular Mobile Networks Using Non{Deterministic Iterative Heuristics حسب Sait, Sadiq M.

"…Hence, a randomized, heuristic algorithm, such as Simulated Evolution is used in this work to optimize the transmission costs in cellular networks. …"
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Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer حسب Andrea Remo (447375)

"…</p><h3>Methods</h3><p dir="ltr">In-silico modeling and Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNe) on IBC/non-IBC (nIBC) gene expression data (n = 197) was employed to identify novel master regulators connected to the IBC phenotype. …"