Mapping realistic data sets on parallel computers حسب Mansour, N.

"…The GC algorithm allows large-scale mapping to become efficient, especially when slow but high-quality mappers are used.…"
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Parallel genetic algorithm for disease-gene association حسب 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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Novel algorithms for accurate DNA base-calling حسب Mohammed, Omniyah Gul

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Just-in-time defect prediction for mobile applications: using shallow or deep learning? حسب Raymon van Dinter (10521952)

Particle swarm optimization algorithm: review and applications حسب Abualigah, Laith

"…The main procedure of the PSO algorithm is presented. Future researchers can use the collected data in this survey as baseline information on the PSO and PSO's applications.…"
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Investigating the Use of Machine Learning Models to Understand the Drugs Permeability Across Placenta حسب Vaisali Chandrasekar (16904526)

Developing a UAE-Based Disputes Prediction Model using Machine Learning حسب Abu Laila, Ibrahim Wasef Subhi

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New enumeration algorithm for regular boolean functions حسب Nasrallah, Walid F.

"…This algorithm exploits the equivalence between regular Boolean functions and positive threshold functions that can be used to represent instances of the knapsack problem. …"
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Parallel Algorithm for Hardware Implementation of Inverse Halftoning حسب Siddiqi, Umair F.

"…The 15-pixel parallel version of the algorithm was tested on sample images and a simple and effective method has been used to overcome quality degradation due to pixel loss in the proposed algorithm. …"
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Parallel algorithm for hardware implementation of inverse halftoning حسب Siddiqi, U.F.

"…The 15-pixel parallel version of the algorithm was tested on sample images and a simple and effective method has been used to overcome quality degradation due to pixel loss in the proposed algorithm. …"
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The Effects of Data Mining on Small Businesses in Dubai حسب AlMutawa, Rasha

"…While there are numerous studies on the best data mining models and their uses, even on certain industries, this study focuses on the applications more than the algorithms and models and their usefulness for small businesses specifically. …"
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Intelligent Fusion of Deep Features for Improved Waste Classification حسب Kashif Ahmad (12592762)

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

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A Geometric-Primitives-Based Compression Scheme for Testing Systems-on-a-Chip حسب El-Maleh, Aiman H.

"…In this paper, it is assumed that an embedded core will be used to execute the decompression algorithm and decompress the test data.…"
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A New Approach for Recognizing Saudi Arabian License Plates using Neural Networks حسب Deriche, Mohamed

"…Finally, a Multilayer Feedforward Neural Network (MFNN) with a backpropagation (BP) algorithm is used for character recognition. We discuss new features from the characters for training the NN. …"
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Spider monkey optimizations: application review and results حسب Abualigah, Laith

"…Optimization algorithms are applied to find efficient solutions in different problems in several fields such as the routing in wireless networks, cloud computing, big data, image processing and scheduling, and so forth. …"
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A Hybrid Fault Detection and Diagnosis of Grid-Tied PV Systems: Enhanced Random Forest Classifier Using Data Reduction and Interval-Valued Representation حسب Khaled Dhibi (16891524)

"…The proposed approach deals with system uncertainties (current/voltage variability, noise, measurement errors, ⋯) by using an interval-valued data representation, and with large-scale systems by using a dataset size-reduction framework. …"

Detecting protein complexes in protein interaction networks using Mapper and Graph Convolution Networks حسب Daou, Leonardo

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An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting حسب Mohamed Massaoudi (16888710)

"…First, the NARXNN model acquires the data to generate a residual error vector. Then, the stacked LSTM model, optimized by Tabu search algorithm, uses the residual error correction associated with the original data to produce a point and interval PVPF. …"

GenDE: A CRF-Based Data Extractor حسب Kayed, Mohammed

"…If the wrapper failed to work with the new page, a new wrapper/schema would be re-generated by calling an unsupervised wrapper induction system. In this paper, a new data extractor called GenDE is proposed. It verifies the site schema and extracts data from the Web pages using Conditional Random Fields (CRFs). …"
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