بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data testing » data using (توسيع البحث)
element » elements (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data testing » data using (توسيع البحث)
element » elements (توسيع البحث)
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181
On the complexity of multi-parameterized cluster editing
منشور في 2017"…In other words, Cluster Editing can be solved efficiently when the number of false positives/negatives per single data element is expected to be small compared to the minimum cluster size. …"
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article -
182
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183
Multigrid solvers in reconfigurable hardware. (c2006)
منشور في 2006احصل على النص الكامل
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masterThesis -
184
Degree-Based Network Anonymization
منشور في 2020"…In this thesis, we study a new multi- objective parameterized anonymization approach that generalizes the known degree anonymization problem and attempts at improving it as a more realistic model for data security/privacy. Our model suggests a convenient privacy level for each net- work based on the standard deviation of its degrees. …"
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masterThesis -
185
Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies
منشور في 2017احصل على النص الكامل
doctoralThesis -
186
A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study
منشور في 2022"…Finally, a 3D Finite Element simulation was conducted to validate the findings and each observation resulting from the experiments. …"
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187
Active distribution network type identification method of high proportion new energy power system based on source-load matching
منشور في 2023"…Firstly, the typical daily output scenarios of DG are extracted by clustering method, and the generalized load curve model is solved by the optimization algorithm to obtain the source load operation data; Secondly, calculate the source-load matching indicators (including matching performance, matching degree, and matching rate) according to the source load data of each region, and identify the distribution network type according to the range of the index values; Finally, several indicators are introduced to quantify the characteristics of different types of distribution networks. …"
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article -
188
Multi-Classifier Tree With Transient Features for Drift Compensation in Electronic Nose
منشور في 2020"…These electronic instruments rely on Machine Learning (ML) algorithms for recognizing the sensed odors. The effect of long-term drift influences the performance of ML algorithms and the models those are trained on drift free data fail to perform on the drifted data. …"
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189
Dataset built for Arabic Sentiment Analysis
منشور في 2016"…Key stages of the framework takes three dimensions. We followed an Algorithm which involves Data Acquisition stage, Filtering Stage and Annotation Stage. …"
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190
I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams
منشور في 2023"…This paper introduces a new approximate algorithm – I Will Survive (IWS). The algorithm utilizes the trie data structure to improve the calculation speed, while remaining memory-efficient. …"
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191
A Navigation and Control System for a Robot in Indoor/Outdoor Environments
منشور في 2016احصل على النص الكامل
doctoralThesis -
192
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193
AI-based remaining useful life prediction and modelling of seawater desalination membranes
منشور في 2024احصل على النص الكامل
doctoralThesis -
194
Evacuation of a highly congested urban city
منشور في 2017"…A case study using real population and transportation network data was tested using the proposed methodology. The results show that the city is in grave danger due to the high population density and disproportionate network capacity.…"
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conferenceObject -
195
Multi-Objective Optimization for Food Availability under Economic and Environmental Risk Constraints
منشور في 2024"…Utilizing these assessments, a multi-objective optimization model is developed and solved using MATLAB (R2018a)’s Genetic Algorithm, aiming to identify optimal suppliers to meet Qatar’s food demand, with consideration of the economic, environmental, and risk factors. …"
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196
Security in wire/wireless networks: sniffing attacks prevention/detection techniques in LAN networks & the effect on biometric technology
منشور في 2010"…Based on the surprising experimental results done by a previous study in the security lab which proposed an optimal algorithm to enhance their ability against the two famous network attacks; we implemented the proposed algorithm by this study and stimulate the experiment in order to test the algorithm performance. …"
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197
VEGAWES: variational segmentation on whole exome sequencing for copy number detection
منشور في 2015"…We tested this algorithm on synthetic data and 100 Glioblastoma Multiforme primary tumor samples. …"
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198
Prediction the performance of multistage moving bed biological process using artificial neural network (ANN)
منشور في 2020"…The effect of surface area loading rate (SALR), organic matters (OMs), nutrients (N & P), feed flow rate (Q<sub>feed</sub>), hydraulic retention time (HRT), and internal recycle flow (IRF) on the performance of the ENR-BP to fulfil rigorous discharge limitations were evaluated. Experimental data was used to develop the appropriate architecture for the AAN using iterative steps of training and testing. …"
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199
Improving INS/GPS Integration for Mobile Robotics Applications
منشور في 2008احصل على النص الكامل
doctoralThesis -
200
STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization
منشور في 2025"…For stationary sources, the proposed system gives satisfactory performance in terms of quality, intelligibility, and separation speed, and generalizes well with the test data from a mismatched speech corpus. Its perceptual evaluation of speech quality (PESQ) score is 0.55 points better than a self-supervised learning (SSL) model and almost equivalent to the diffusion models at computational cost and training data which is many folds lesser than required by these algorithms. …"