Dynamic adaptation for video streaming over mobile devices. (c2013) by Jalloul, Rayan A.

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Impacts of Feeder Reconfiguration on Renewable Resources Allocation in Balanced and Unbalanced Distribution Systems by Zidan, Aboelsood A.

“…In the first scenario, distributed generation units are allocated using the base configuration, followed by network reconfiguration. …”
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Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE by Ben Romdhane, Haifa

“…The modelling and prediction accuracies are expected to improve with the insertion of a neural network and backpropagation algorithms based on the performed cluster groups following more recent field surveys. …”
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DSDM: A Distributed Service Discovery Model for Manets by Artail, Hassan

“…The designed system is based on storing service descriptions in selected nodes that are searched in accordance to a proposed Minimum Distance Packet Forwarding (MDPF) algorithm. …”
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Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier by JAIN, SWETA

“…In this paper, deepConvolutionalNeuralNetwork(CNN)withDwarfMongooseoptimizedResidualNetwork(DM ResNet) is proposed for the classification of autism disorder from Magnetic Resonance Imaging (MRI) brain images. …”
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Innovative mobile E-healthcare systems by Haraty, Ramzi A.

“…In this work, we propose a new cache replacement algorithm—Profit SACCS—that is based on the rule-based least profit value. …”
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UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices by Samir, Moataz

“…Then, we develop an effective sub-optimal algorithm based on successive convex approximation in order to obtain results for larger network scenarios. …”
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Real-Time Path-Planning using Depth/INS Sensor Fusion for Localization by Alkhawja, Fares Amin E

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Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting by Abdelkader Baggag (16864140)

“…The regularizer, which incorporates spatial properties of the road network, improves the quality of the results. The learned factors, with a graph-based temporal dependency, are then used in an autoregressive algorithm to predict the future state of the road network with a large horizon. …”

Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE by Ben-Romdhane, Haïfa

“…The modelling and prediction accuracies are expected to improve with the insertion of a neural network and backpropagation algorithms based on the performed cluster groups following more recent field surveys. …”
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A hybrid neuro-fuzzy power system stabilizer for multimachine powersystems by Abido, M.A.

“…A fuzzy basis function network (FBFN) based power system stabilizer (PSS) is presented in this paper to improve power system dynamic stability. …”
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A Blockchain Model for Secure Communications in Internet of Vehicles by Mershad, Khaleel

“…In order to prove the efficiency of the proposed model, we carry out extensive simulations that test the proposed model and study its overhead on the IoV network. The simulation results demonstrated the good performance of the HPBC algorithm when implemented within the IoV environment.…”
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A machine learning approach for localization in cellular environments by Abdallah, Ali A.

“…A machine learning approach is developed for localization based on received signal strength (RSS) from cellular towers. …”
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A method for efficient NoC test scheduling using deterministic routing by Harmanani, Haidar

“…Network-on-Chip (NoC) is an on-chip communication methodology that has been proposed as an alternative to bus-based communication in order to cope with the increased complexity in embedded designs. …”
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Using machine learning for disease detection. (c2013) by Jreij, Georges Antoun

“…Classification consists of predicting group membership for new data instances by learning from pre-classified data instances. …”
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The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review by Uzair Shah (15740699)

“…The most prominent ML algorithm was a support vector machine, and the DL algorithm was a convolutional neural network. …”

Development and Implementation of a Hybrid Intelligent Controller for Interior Permanent Magnet Synchronous Motor Drives by Nasir Uddin, M.

“…At each operating condition a genetic algorithm is used to optimize the PI controller parameters in a closed-loop vector control scheme. …”
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Predicting COVID-19 cases using bidirectional LSTM on multivariate time series by Ahmed Ben Said (14158926)

“…Unlike other forecasting techniques, our proposed approach first groups the countries having similar demographic and socioeconomic aspects and health sector indicators using K-means clustering algorithm. …”

CEAP by Abdel Wahab, Omar

“…The infrastructureless and decentralized nature of Vehicular Ad Hoc Network (VANET) makes it quite vulnerable to different types of malicious attacks. …”
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Impact Of Multidisciplinary Maternal Resuscitation Training Program on Improving the Front-Line Care Provider’s Readiness to Manage Maternal Cardiac Arrest: A Pre-test/Post-test St... by Mohamed Elsayed Saad Aboudonya (18466385)

“…The sample size consisted of three groups of front-line multidisciplinary obstetric maternal resuscitation teams (physicians, midwives, and nurses) divided into a pre-test group (N=30) and post-test group (N=30). …”