Education Data Mining to Predict Student Exam Grades in Vocational Institutes حسب Saleh, Ashjan Ahmad

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Failure-Rate Prediction for De Havilland Dash-8 Tires Employing Neural-Network Technique حسب Al-Garni, Ahmed Z.

"…An artificial neural-network model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the two-layered feedforward back-propagation algorithm as a learning rule is developed. The inputs to the neural network are independent variables, and the output is the failure rate of the tires. …"
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Automation of the Arabic sign language recognition حسب Mohandes, M.

"…This paper introduces a system to recognize the Arabic sign language using an instrumented glove and a machine learning method. …"
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Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT) حسب Kouatli, Issam

"…Decision making and/or Decision Support Systems (DSS) using intelligent techniques like Genetic Algorithm and fuzzy logic is becoming popular in many new applications. …"
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A Novel Encryption Method for Dorsal Hand Vein Images on a Microcomputer حسب M. Z. Yildiz (16855476)

"…Second, the pre- and post-processed images were encrypted with a new encryption algorithm in the microcomputer environment. …"

Application of Data Mining to Predict and Diagnose Diabetic Retinopathy حسب Haniyeh, Maryam

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Modeling and Control of Nonlinear Systems Using Wavelet Networks حسب Hassouneh, Wissam

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Computer-aided detection of Melanoma using geometric features حسب Azar, Danielle

"…In this work, we investigate the use of geometric features to differentiate between a benign lesion and a malignant one. The k-Nearest Neighbors (k-NN) machine learning algorithm is used to classify 15 lesions based on their ABD features. …"
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Predicting stability of classes in an object-oriented system حسب Azar, D.

"…We compare our results to the machine learning algorithm C4.5, and we show that our approach out-beats it.…"
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Topology and parameter estimation in power systems through inverter-based broadband stimulations حسب Margossian, Harag

"…Broadband stimulation signals are injected from distributed generators and their effects are measured at various locations in the grid. To process and evaluate this data, a novel aggregation method based on weighed least squares will be proposed in this study. …"
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SDODV. (c2018) حسب Assi, Maram

"…Our proposed adaptive algorithm increases effectively the lifetime of the built network by considering the network topology when establishing a route. …"
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Improving Rule Set Based Software Quality Prediction حسب Azar, Danielle

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Predicting COVID-19 cases using bidirectional LSTM on multivariate time series حسب Ahmed Ben Said (14158926)

"…<p>To assist policymakers in making adequate decisions to stop the spread of the COVID-19 pandemic, accurate forecasting of the disease propagation is of paramount importance. This paper presents a deep learning approach to forecast the cumulative number of COVID-19 cases using bidirectional Long Short-Term Memory (Bi-LSTM) network applied to multivariate time series. …"

On-demand deployment of multiple aerial base stations for traffic offloading and network recovery حسب Sharafeddine, Sanaa

"…Afterwards, we propose and evaluate a more practical approach for multiple UAV deployment in a continuous 3D space, based on an unsupervised learning technique that relies on the notion of electrostatics with repulsion and attraction forces. …"
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Estimating Bridge Deterioration Age Using Artificial Neural Networks حسب AL HUSSEIN, ASEEL

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Exploratory risk prediction of type II diabetes with isolation forests and novel biomarkers حسب Yousef, Hibba

"…Type II diabetes mellitus (T2DM) is a rising global health burden due to its rapidly increasing prevalence worldwide, and can result in serious complications. …"
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Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles حسب Wadi, Ali

"…The identified a priori knowledge is used to implement an optimal Kalman filter, a multi-hypothesis Kalman filter, and a variant of the full information estimator (moving horizon estimator) to the problem at hand. The proposed algorithms are initially deployed in a simulation environment, and then the experimental data sets are fed into the algorithms to validate their performance. …"
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Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea حسب Issa, Leila

"…Lagrangian tracking of passive tracers in a stochastic velocity field within a sequential ensemble data assimilation framework is challenging due to the exponential growth in the number of particles. …"
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Establishing Autonomous AUS-Quadrotor حسب Al Younes, Younes

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Corrosion Monitoring Technologies for Reinforced Concrete Structures: A Review حسب SHEHADEH, KHADIJA

"…New technology, algorithms, data processing, and AI are new approaches to improving corrosion monitoring processes. …"
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