بدائل البحث:
method algorithm » mould algorithm (توسيع البحث)
mining algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
mining algorithm » cosine algorithm (توسيع البحث)
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161
Three-phase simulated annealing algorithms for exam scheduling
منشور في 2003"…We empirically compare 3PSA with a 4-phase clustering-based heuristic algorithm using realistic data. Our experimental results show that 3PSA produces good exam schedules, which are better than those of the clustering heuristic procedure.…"
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conferenceObject -
162
A hybrid graph representation for recursive backtracking algorithms
منشور في 2017"…In this paper, we investigate practical implementation-based aspects of exact algorithms by providing a hybrid graph representation that addresses the take-back challenge and combines the advantage of O(1)O(1) adjacency-queries in adjacency-matrices with the advantage of efficient neighborhood traversal in adjacency-lists.…"
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conferenceObject -
163
(k, l)-Clustering for Transactional Data Streams Anonymization
منشور في 2018"…In this paper, we address the correlation problem in the anonymization of transactional data streams. We propose a bucketization-based technique, entitled (k, l)-clustering to prevent such privacy breaches by ensuring that the same k individuals remain grouped together over the entire anonymized stream. …"
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conferenceObject -
164
Correlation Clustering via s-Club Cluster Edge Deletion
منشور في 2023احصل على النص الكامل
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masterThesis -
165
Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018)
منشور في 2018"…Companies, nowadays, rely on systems and applications to automate their business processes and data management. 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. …"
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masterThesis -
166
A method for data path synthesis using neural networks
منشور في 2017"…Presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
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conferenceObject -
167
Using genetic algorithms to optimize software quality estimation models
منشور في 2004"…Hence, the accuracy of the models often deteriorates significantly when they are used to classify new data. This thesis explores the use of genetic algorithms for the problem of optimizing existing rule-based software quality estimation models. …"
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masterThesis -
168
Blue collar laborers’ travel pattern recognition: Machine learning classifier approach
منشور في 2021"…A pattern recognition model is applied to a revealed preference (RP) survey obtained from the Ministry of Transportation and Communication (MoTC) in Qatar for the travel diary for blue-collar workers. Raw data preprocessing and outliers detection and filtering algorithms were applied at the first stage of the analysis, and consequently, an activity-based travel matrix was developed for each household. …"
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169
Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
منشور في 2022احصل على النص الكامل
doctoralThesis -
170
Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach
منشور في 2006"…The search space is too large to be explored by deterministic algorithms. In this paper, a Genetic Algorithm based algorithm for synthesis of MVL functions is proposed. …"
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article -
171
Bee colony algorithm for assigning proctors to exams. (c2013)
منشور في 2013احصل على النص الكامل
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masterThesis -
172
A Scatter search algorithm for exam scheduling. (c2006)
منشور في 2006احصل على النص الكامل
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masterThesis -
173
A fast exact sequential algorithm for the partial digest problem
منشور في 2016"…Two types of simulated data, random and Zhang, are used to measure the efficiency of the algorithm. …"
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174
Big Data Energy Management, Analytics and Visualization for Residential Areas
منشور في 2020"…A high-speed distributed computing cluster based on commodity hardware with efficient big data mathematical algorithm is employed in this work. …"
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article -
175
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
منشور في 2024"…This work aims to enhance the performance of the K-means algorithm by introducing a novel method for selecting the initial centroids, thereby minimizing randomness and reducing the number of iterations needed to reach optimal results. …"
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masterThesis -
176
Second-order conic programming for data envelopment analysis models
منشور في 2022"…Data envelopment analysis (DEA) is a widely used benchmarking technique. …"
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177
Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects
منشور في 2021"…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …"
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178
Incorporation of Robust Sliding Mode Control and Adaptive Multi-Layer Neural Network-Based Observer for Unmanned Aerial Vehicles
منشور في 2024"…<p dir="ltr">The control and state estimation of Unmanned Aerial Vehicles (UAVs) provide significant challenges due to their complex and nonlinear dynamics, as well as uncertainties arising from factors such as sensor noise, wind gusts, and parameter fluctuations. Neural network-based methods tackle these problems by accurately approximating unknown nonlinearities through training on input-output data. …"
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179
Evolutionary algorithms for state justification in sequential automatic test pattern generation
منشور في 2005"…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …"
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article -
180
Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring
منشور في 2024"…Current signal processing techniques, and even state-of-the-art machine learning algorithms, frequently struggle to effectively restore the inherent bodily signals amidst the array of randomly generated distortions. …"