بدائل البحث:
developing based » developing a (توسيع البحث), developing 21st (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
developing based » developing a (توسيع البحث), developing 21st (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
-
201
Parallel Algorithm for Hardware Implementation of Inverse Halftoning
منشور في 2005"…The algorithm is based on Lookup Tables from which the inverse halftone value of a pixel is directly determined using a pattern of pixels. …"
احصل على النص الكامل
article -
202
Empirical comparison of regression test selection algorithms
منشور في 2001"…In the maintenance phase, the regression test selection problem refers to selecting test cases from the initial suite of test cases used in the development phase. In this paper, we empirically compare five representative regression test selection algorithms, which include: Simulated Annealing, Reduction, Slicing, Dataflow, and Firewall algorithms. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
203
Parallel algorithm for hardware implementation of inverse halftoning
منشور في 2005"…The algorithm is based on lookup tables from which the inverse halftone value of a pixel is directly determined using a pattern of pixels. …"
احصل على النص الكامل
احصل على النص الكامل
article -
204
-
205
The Effects of Data Mining on Small Businesses in Dubai
منشور في 2011"…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. …"
احصل على النص الكامل
-
206
Spider monkey optimizations: application review and results
منشور في 2024"…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. …"
احصل على النص الكامل
-
207
A Hybrid Fault Detection and Diagnosis of Grid-Tied PV Systems: Enhanced Random Forest Classifier Using Data Reduction and Interval-Valued Representation
منشور في 2021"…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. …"
-
208
-
209
An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting
منشور في 2021"…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. …"
-
210
Intelligent Bilateral Client Selection in Federated Learning Using Game Theory
منشور في 2022"…To overcome this problem, we present in this paper FedMint, an intelligent client selection approach for federated learning on IoT devices using game theory and bootstrapping mechanism. Our solution involves designing (1) preference functions for the client IoT devices and federated servers to allow them to rank each other according to several factors such as accuracy and price, (2) intelligent matching algorithms that take into account the preferences of both parties in their design, and (3) bootstrapping technique that capitalizes on the collaboration of multiple federated servers in order to assign initial accuracy value for the new connected IoT devices. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
211
Convergence behavior of the normalized least mean fourth algorithm
منشور في 2000"…Unlike the LMF algorithm, the convergence behavior of the NLMF algorithm is independent of the input data correlation statistics. …"
احصل على النص الكامل
احصل على النص الكامل
article -
212
Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
منشور في 2023"…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. …"
-
213
Evolutionary algorithm for predicting all-atom protein structure
منشور في 2011"…We present an improved version of a scatter search (SS) algorithm for predicting all-atoms protein structures using a recent energy model. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
214
GenDE: A CRF-Based Data Extractor
منشور في 2020"…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). …"
احصل على النص الكامل
احصل على النص الكامل
-
215
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.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
216
Recent Advances of Chimp Optimization Algorithm: Variants and Applications
منشور في 2023"…Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. …"
احصل على النص الكامل
-
217
Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines
منشور في 2015احصل على النص الكامل
doctoralThesis -
218
Mining airline data for CRM strategies. (c2006)
منشور في 2006احصل على النص الكامل
احصل على النص الكامل
masterThesis -
219
Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem
منشور في 2006"…The potential and effectiveness of the newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) for solving a real-world power system multiobjective nonlinear optimization problem are comprehensively discussed and evaluated in this paper. …"
احصل على النص الكامل
article -
220
Multiobjective evolutionary algorithms for electric power dispatch problem
منشور في 2006"…The potential and effectiveness of the newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) for solving a real-world power system multiobjective nonlinear optimization problem are comprehensively discussed and evaluated in this paper. …"
احصل على النص الكامل
احصل على النص الكامل
article