An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization by Majdi Mansouri (16869885)

“…First, an efficient feature selection algorithm based on particle swarm optimization (PSO) is proposed. …”

A Deployment Optimization Model for Wimax Base-Stations by Aboualmal, Abdulhadi Mahmoud

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Fuzzy simulated evolution for power and performance optimization ofVLSI placement by Sait, Sadiq M.

“…The proposed heuristics is compared with genetic algorithm (GA) and the proposed fuzzy operator is compared with fuzzy ordered weighted averaging operator (OWA). …”
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Conceptualisation study for using RFID as a stand-alone vehicle positioning system by Saab, Samer S.

“…A positioning system using a Kalman filter is proposed in order to estimate the vehicle position. The inputs of the proposed algorithm are the fixed distance between two consecutive tags and the erroneous measurements of the backscattered signal power propagated from nearby RFID tags. …”
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An Adaptive Joint Sparsity Recovery for Compressive Sensing Based EEG System by Hamza Djelouat (14603379)

“…In addition, the paper exploits the joint sparsity of multichannel EEG using subspace pursuit (SP) algorithm as well as a designed sparsifying basis in order to improve the reconstruction quality. …”

Learn while tracking. (c2013) by Toukhtarian, Raffi

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Vehicular-OBUs-As-On-Demand-Fogs by Sami, Hani

“…Our proposed scheme embeds (1) a Kubeadm based approach for clustering OBUs and enabling on-demand micro-services deployment with the least costs and time using Docker containerization technology, (2) a hybrid multi-layered networking architecture to maintain reachability between the requesting user and available vehicular fog cluster, and (3) a vehicular multi-objective container placement model for producing efficient vehicles selection and services distribution. An Evolutionary Memetic Algorithm is elaborated to solve our vehicular container placement problem. …”
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Analysis of Multi-User-Based UAV System With Outdated CSI by Parvez Shaik (21633041)

“…To reduce the complexity and retain the MIMO gains, the transmit antenna selection (TAS) strategy is used to select the best antenna at the source and UAV nodes. …”

Learning-Based Automatic Modulation Classification by Abdelmutalab, Ameen Elsiddig

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Defining quantitative rules for identifying influential researchers: Insights from mathematics domain by Ghulam Mustafa (458105)

“…However, the scientific community has not yet agreed upon a single set of criteria that a researcher has to meet in order to secure a spot on to the list of impactful researchers. …”

Deep Reinforcement Learning for Resource Constrained HLS Scheduling by Makhoul, Rim

“…We used a deep neural network to train the agent and in order to learn the the Q-values. The results of this work are compared to other state-of-the-art algorithms and are proven to be very effective and promising.…”
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Predicting User Behavior over the Web by Al Safadi, Amal Adnan

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A PLC based power factor controller for a 3-phase induction motor by Al-Ali, A.R.

“…Implementation of a software algorithm incorporates measuring the power factor angle, selecting the binary pattern according to the control strategy and sending command signals to switch the appropriate capacitors and protection switches. …”
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A Biologicaly Inspired Decision Model for Multivariable Genetic- Fuzzy-AHP System by Kouatli, Issam

“…This paper describes a hybridized intelligent algorithm as a tuning mechanism for one type of Genetic Fuzzy system termed the Genetic Fuzzimetric Technique (GFT). …”
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Modelling of pollutant transport in compound open channels by Chatila, Jean Georges

“…These equations are derived in three dimensions (3-D), however, in order to simplify the problem and ease the computational effort, the equations are integrated over the depth (depth-averaged). …”
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Metallic coating thickness assessment over nonmagnetic metals using eddy current technology by Ansari, Zain Ali

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Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018) by Tay, Bilal M.

“…In this context, the notion of integrating machine learning techniques in banking business processes has emerged, where trainable computational algorithms can be improved by learning. Our objective in this work is to propose machine learning models that can benefit from the historical data available in banking environment in order to improve and automate their business processes. …”
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Design of a TE-pass reflection mode optical polarizer by Khan, M.A.

“…The analysis of the filter is carried out numerically using the method of lines with a perfectly matched layer in order to absorb the radiative field. A doubling and cascading algorithm is also utilized to efficiently account for the large number of grating periods forming the corrugated section of the filter.…”
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Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying by Tekli, Joe

“…We use a semantic-aware inverted index to allow semantic-aware search, result selection, and result ranking functionality. The semantically augmented XML data tree is processed for structural node clustering, based on semantic query concepts (i.e., key-concepts), in order to identify and rank candidate answer sub-trees containing related occurrences of query key-concepts. …”
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Enhancing Student Services: Machine Learning Chatbot Intent Recognition for High School Inquiries by Assayed, Suha Khalil

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