One-Hour-Ahead Wind Power Forecast Using Hybrid Grey Models by Osman, Ahmed

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A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm by Amirsajjad Rahmani (17541453)

Parallel Algorithm for Hardware Implementation of Inverse Halftoning by Siddiqi, Umair F.

“…The algorithm is based on Lookup Tables from which the inverse halftone value of a pixel is directly determined using a pattern of pixels. …”
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Parallel algorithm for hardware implementation of inverse halftoning by Siddiqi, U.F.

“…The algorithm is based on lookup tables from which the inverse halftone value of a pixel is directly determined using a pattern of pixels. …”
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Artificial neural network algorithms. (c1999) by Ramadan, Samer N.

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Asymptotically faster algorithms for parameterized FACE COVER by Abu-Khzam, Faisal N.

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Incremental & classical genetic algorithm. (c2001) by Awad, Mohamad M.

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Genetic algorithms applications in load frequency control by Abdel-Magid, Y.L.

“…A digital simulation is used in conjunction with the genetic algorithm optimization process. …”
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A New Parallel Genetic Algorithm Model by Al-Somani, Turki F.

“…The reduction of the implementation processing time is the basic motivation of genetic algorithms parallelization. …”
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Empirical comparison of regression test selection algorithms by Mansour, Nashat

“…The empirical results show that the five algorithms can be used for different requirements of regression testing. …”
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Natural optimization algorithms for optimal regression testing by Mansour, Nashat

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A kernelization algorithm for d-Hitting Set by Abu-Khzam, Faisal N.

“…For a given parameterized problem, π, a kernelization algorithm is a polynomial-time pre-processing procedure that transforms an arbitrary instance of π into an equivalent one whose size depends only on the input parameter(s). …”
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A novel approach for real time flows scheduling by Fawaz, W.

“…A plethora of packet-scheduling algorithms have been proposed in the literature in order to meet the stringent time constraints of real time flows at an IP router level. …”
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Enhanced Control of Single-Stage PV-STATCOM Using Hybrid MPPT and Adaptive AHLMS for Power Quality Improvement by Nagwa F. Ibrahim (17334201)

The effects of data balancing approaches: A case study by Paul Mooijman (4453189)

“…Our LC-HRMS dataset contains 1241 bovine urine samples, of which only 65 specimens were from animal studies and guaranteed to contain growth-stimulating hormones while the rest has been reported to be untreated, making it a ∼5% imbalanced dataset. In this research, classification algorithms, combined with resampling strategies and dimensionality reduction methods, were investigated to find a prediction model to correctly identify the samples of treated animals. …”

Algorithms for Pixelwise Shape Deformations Preserving Digital Convexity by Tarsissi, Lama

“…In this article, we propose algorithms for pixelwise deformations of digital convex sets preserving their convexity using the combinatorics on words to identify digital convex sets via their boundary words, namely Lyndon and Christoffel words. …”
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An Evolutionary Algorithm for the Allocation Problem in High-Level Synthesis by Harmanani, Haidar

“…The proposed method was implemented using C++ on a Linux workstation. We tested our method on a set of high-level synthesis benchmarks, all yielding good solutions in a short time. …”
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Algorithmic Study of Online Multi-Facility Location Problems by Markarian, Christine

“…We propose the first online algorithms for these variants and measure their performance using the standard notion of competitive analysis. …”
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A neural networks algorithm for data path synthesis by Harmanani, Haidar M.

“…The algorithm has a running time complexity of O(1) for a circuit with n operations and c shared resources. …”
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Optimizing Document Classification: Unleashing the Power of Genetic Algorithms by Ghulam Mustafa (458105)

“…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …”