بدائل البحث:
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
a algorithm » _ algorithms (توسيع البحث), rd algorithm (توسيع البحث), jaya algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
a algorithm » _ algorithms (توسيع البحث), rd algorithm (توسيع البحث), jaya algorithm (توسيع البحث)
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201
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202
Kernelization algorithms for the vertex cover problem
منشور في 2017احصل على النص الكامل
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conferenceObject -
203
Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
منشور في 2024"…<p dir="ltr">Fault detection and diagnosis (FDD) systems play a crucial role in maintaining the adequate execution of the monitored process. One of the widely used data-driven FDD methods is the Principal Component Analysis (PCA). …"
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204
Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence
منشور في 2020"…Keeping in view the need of an optimization algorithm with fast convergence speed, suitable for high dimensional data space, this article proposes a novel concept of Multi-Cluster Jumping PSO. …"
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205
Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data
منشور في 2023"…The use of such biomarkers to monitor glycemic events represents a major shift in technology for self-monitoring and developing digital biomarkers using non-invasive WDs. …"
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206
Data Redundancy Management in Connected Environments
منشور في 2020"…., building) equipped with sensors that produce and exchange raw data. Although the sensed data is considered to contain useful and valuable information, yet it might include various inconsistencies such as data redundancies, anomalies, and missing values. …"
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conferenceObject -
207
Unsupervised outlier detection in multidimensional data
منشور في 2022"…<p>Detection and removal of outliers in a dataset is a fundamental preprocessing task without which the analysis of the data can be misleading. Furthermore, the existence of anomalies in the data can heavily degrade the performance of machine learning algorithms. …"
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208
Android Malware Detection Using Machine Learning
منشور في 2024"…Detecting and preventing malware is crucial for several reasons, including the security of personal information, data loss and tampering, system disruptions, financial losses, and reputation damage. …"
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article -
209
A map matching approach for train positioning. Part I: Development and analysis
منشور في 2000"…This paper is devoted to the development of a map matching algorithm for a train positioning system. …"
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article -
210
Delay Optimization in LoRaWAN by Employing Adaptive Scheduling Algorithm With Unsupervised Learning
منشور في 2023"…This paper aims to optimize the delay in LoRaWAN by using an Adaptive Scheduling Algorithm (ASA) with an unsupervised probabilistic approach called Gaussian Mixture Model (GMM). …"
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211
An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling
منشور في 2016"…The work presented in thesis add to the existing literature in a proposing the use of a genetic algorithm uncertain approach to resource- scheduling in projects. …"
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212
On the steiner walk problem. (c2009)
منشور في 2009احصل على النص الكامل
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masterThesis -
213
A new ordering and grouping algorithm for the linear weighted group matched filter successive interference cancellation detector
منشور في 2006"…Moreover, a new ordering and grouping algorithm that results in a higher convergence speed is proposed. …"
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article -
214
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215
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216
Graph Contraction for Mapping Data on Parallel Computers
منشور في 1994"…We then present experimental results on using contracted graphs as inputs to two physical optimization methods; namely, genetic algorithm and simulated annealing. …"
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article -
217
Mapping realistic data sets on parallel computers
منشور في 1993"…The GC algorithm allows large-scale mapping to become efficient, especially when slow but high-quality mappers are used.…"
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conferenceObject -
218
Parallel genetic algorithm for disease-gene association
منشور في 2011"…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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conferenceObject -
219
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220
New enumeration algorithm for regular boolean functions
منشور في 2018"…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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conferenceObject