Improving Rule Set Based Software Quality Prediction by Azar, Danielle

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Bootstrap-based Aggregations and their Stability in Feature Selection by Salman, Reem Elfatih

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

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Drone Based Outdoor Insulator Inspection by Waleed, Danial

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Agent-Based Reactive Geographic Routing Protocol for Internet of Vehicles by Mazouzi, Mohamed

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Adaptive Federated Learning Architecture To Mitigate Non-IID Through Multi-Objective GA-Based Efficient Client Selection by Ajaj, Mohamad

“…In this paper, we propose a novel approach that incorporates genetic algorithms with an enhanced client selection strategy, utilizing client metadata rather than raw data. …”
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Optimisation of PV Cleaning Practices: Comparison Between Performance Based and Periodic Based Approaches by ALHAJERI, RASHED ABDULLA

“…To optimize the cleaning practices, an algorithm was developed by the author based on the literature review and economic analysis, and was run for multiple panels and tilts at the DEWA OTF solar lab in Dubai, UAE. …”
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Regression testing C# programs. (c2007) by Staitieh, Wael

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The bus sightseeing problem by Qian Hu (205735)

“…For large-scale instances, an iterated local search based metaheuristic algorithm is developed with some tailored neighborhood operators. …”

Multidimensional Gains for Stochastic Approximation by Saab, Samer S.

“…Necessary and sufficient conditions for M≥ N algorithms are presented pertaining to algorithm stability and convergence of the estimate error covariance matrix. …”
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VEGAWES: variational segmentation on whole exome sequencing for copy number detection by Samreen Anjum (19651882)

“…VEGAWES is an extension to a variational based segmentation algorithm, VEGA: Variational estimator for genomic aberrations, which has previously outperformed several algorithms on segmenting array comparative genomic hybridization data. …”

Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information by M. Ghoniem, Rania

“…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …”
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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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Prediction of Multiple Clinical Complications in Cancer Patients to Ensure Hospital Preparedness and Improved Cancer Care by Regina Padmanabhan (14231606)

“…Hence, for predicting three critical clinical complications, such as sepsis, the presence of multidrug-resistant organisms, and mortality, from the data available from medical records, we used 1166 febrile neutropenia episodes reported in 513 patients. …”

Joint computing, communication and cost-aware task offloading in D2D-enabled Het-MEC by Abbas, Nadine

“…Furthermore, we propose a low-complexity algorithm that generates high performance results and can be applied for large-scale networks. …”
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Optimized provisioning of edge computing resources with heterogeneous workload in IoT networks by Kherraf, Nouha

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Barriers of Adopting Artificial Intelligence Tools in Engineering Construction Projects by ALKAABI, ABDULLA

“…Construction data management and integration are difficult. AI algorithms depend on data for training and analysis. …”
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LINE SEARCH TECHNIQUES FOR THE LOGARITHMIC BARRIER FUNCTION IN QUADRATIC-PROGRAMMING by Bendaya, M.

“…In this paper, we propose a line-search procedure for the logarithmic barrier function in the context of an interior point algorithm for convex quadratic programming. …”
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Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing by Xin Li (51274)

“…Interestingly, with respect to the amount of allocation resource, it can obtain the maximum value density when offloading energy consumption equals to half of local energy consumption. Finally, we propose a low-complexity heuristic resource allocation algorithm based on this novel theoretical discovery. …”

Noise-Robust Parameter Estimation Of Linear Systems by Emara-Shabaik, Husam

“…Under this realistic situation, the least squares parameters estimation is nown to be biased. In this paper, a recursive parameters stimation algorithm, which is unbiased for a wide class of measurement noise, is developed. …”
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