Learn while Tracking by Saab, Samer S.

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Learn while tracking. (c2013) by Toukhtarian, Raffi

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Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study by Mutasim Baba, Fuad

Subjects: “…Multi-objective genetic algorithm Model calibration Indoor temperature Global sensitivity analysis Whole-building simulation…”
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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. …”

Integrated whole transcriptome and small RNA analysis revealed multiple regulatory networks in colorectal cancer by Hibah Shaath (5599658)

“…Herein, we performed microRNA (miRNA) sequencing on fifteen CRC and their non-tumor adjacent tissues and whole transcriptome RNA-Seq on six paired samples from the same cohort and identified alterations in miRNA, mRNA, and lncRNA expression. …”

Comprehensive whole genome sequence analyses yields novel genetic and structural insights for Intellectual Disability by Farah R. Zahir (18892108)

“…We analyzed structural variation by four different algorithms including <i>de novo</i> genome assembly. …”

An enhanced quorum selection algorithm by Haraty, Ramzi A.

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An Improved Quorum Selection Algorithm by Haraty, Ramzi A.

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Tracking analysis of normalized adaptive algorithms by Moinuddin, M.

“…Close agreement between analytical analysis and simulation results is obtained for the case of the NLMS algorithm. The results show that, unlike the stationary case, the steady-state excess-mean-square error is not a monotonically increasing function of the step-size, while the ability of the adaptive algorithm to track the variations in the environment degrades by increasing the frequency offset.…”
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Bee Colony Algorithm for Proctors Assignment. by Mansour, Nashat

“…We apply the Bee Colony algorithm to previously published data. Experimental results show good solutions that maximize the preferences of proctors while preserving the fairness of the workload given to proctors. …”
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Parallel genetic algorithm for disease-gene association by Mansour, Nashat

“…In this work, we combine few successful strategies from the literature and present a parallel genetic algorithm for the Tag SNP Selection problem. Our results compared favorably with those of a recognized tag SNP selection algorithm using three different data sets from the HapMap project.…”
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A simulated annealing algorithm for unit commitment by Mantawy, A.H.

“…This paper presents a simulated annealing algorithm (SAA) to solve the unit commitment problem (UCP). …”
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Adaptive bias simulated evolution algorithm for placement by Youssef, H.

“…This parameter has major impact on the algorithm run-time and the quality of the solution subspace searched. …”
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Particle swarm optimization algorithm: review and applications by Abualigah, Laith

“…Particle swarm optimization (PSO) is a heuristic global optimization technique and an optimization algorithm that is swarm intelligence-based. It is based on studies into the movement of bird flocks. …”
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Metaheuristic Algorithm for State-Based Software Testing by Haraty, Ramzi A.

“…We formulate the testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …”
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Evolutionary algorithm for predicting all-atom protein structure by Mansour, Nashat

“…This algorithm produces a 3D structure of the whole protein, including back-bone and side-chain atoms, by minimizing the energy function associated with the structure. …”
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A new genetic algorithm approach for unit commitment by Mantawy, A.H.

“…The former is solved using the proposed genetic algorithm while the latter problem is solved via a quadratic programming routine. …”
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A Parallel Algorithm for Inverse Halftoning and its Hardware by Siddiqi, Umair F.

“…This paper proposes a parallel algorithm for inverse halftoning by parallelizing the LUT method of inverse halftoning. …”
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An improved quorum selection algorithm (IQSA). (c2007) by Younes, Samer

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Algorithmic Study of Online Multi-Facility Location Problems by Markarian, Christine

“…To overcome facility failures and provide a robust solution, we investigate in this paper FL problems that require each client to be connected to multiple facilities, represented by an additional input parameter. The aim of the algorithm is then to provide a robust service to all clients while minimizing the total connecting and facility purchasing costs. …”
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