بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
time processing » image processing (توسيع البحث), text processing (توسيع البحث)
te algorithm » rd algorithm (توسيع البحث), deer algorithm (توسيع البحث), _ algorithms (توسيع البحث)
element te » elementi per (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
time processing » image processing (توسيع البحث), text processing (توسيع البحث)
te algorithm » rd algorithm (توسيع البحث), deer algorithm (توسيع البحث), _ algorithms (توسيع البحث)
element te » elementi per (توسيع البحث)
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201
Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
منشور في 2019"…In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …"
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202
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. …"
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masterThesis -
203
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204
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. …"
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article -
205
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. …"
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206
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. …"
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conferenceObject -
207
Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts
منشور في 2022"…So far none addresses the use of Threat Intelligence (IT) data in Ensemble Learning algorithms to improve the detection process, nor does it work as a function of time, that is, taking into account what happens on the network in a limited time interval. …"
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208
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). …"
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209
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 -
210
A hybrid graph representation for exact graph algorithms
منشور في 2014"…We investigate practical implementation-based aspects of exact graph algorithms by providing a simple hybrid graph representation that trades space for time to address the said take-back challenge. …"
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conferenceObject -
211
Mining airline data for CRM strategies. (c2006)
منشور في 2006احصل على النص الكامل
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masterThesis -
212
Learning control algorithms for tracking "slowly" varying trajectories
منشور في 1997"…This is due to the requirement that all learning algorithms assume that a desired output is given a priori over the time duration t /spl isin/ ~0,T\. …"
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article -
213
The effects of data balancing approaches: A case study
منشور في 2023"…In this article, we present a case study approach for investigating the effects of data balancing approaches. The case study concerns the discrimination between growth hormone treated and non-treated animals using Liquid Chromatography-High Resolution Mass Spectrometry (LC-HRMS) data. …"
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214
A FAMILY OF NORMALIZED LEAST MEAN FOURTH ALGORITHMS
منشور في 2020"…In this work, a family of normalized least mean fourth algorithms is presented. Unlike the LMF algorithm, the convergence behavior of these algorithms is independent of the input data correlation statistics. …"
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article -
215
A hybrid graph representation for recursive backtracking algorithms
منشور في 2017"…The use of efficient data structures is necessary for fast graph modification modules as well as fast take-back procedures. …"
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conferenceObject -
216
Social spider optimization algorithm: survey and new applications
منشور في 2024"…This survey also studied the main applications of this algorithm in different fields, including medical, mathematical, artificial intelligence, engineering, and data engineering, and how this algorithm affected, impacted, and supported the different fields. …"
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217
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218
Application of Data Mining to Predict and Diagnose Diabetic Retinopathy
منشور في 2024احصل على النص الكامل
doctoralThesis -
219
Global smart cities classification using a machine learning approach to evaluating livability, technology, and sustainability performance across key urban indices
منشور في 2025"…Drawing on data from the Smart Cities Index (SCI) and other economic and sustainability competitiveness metrics, the study uses various <u>ML algorithms</u> to categorize cities into <u>performance classes</u>, ranging from high-achieving Class 1 to emerging Class 3 cities. …"
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220
A forward-backward Kalman for the estimation of time-variant channels in OFDM
منشور في 2005"…In this paper, we propose an expectation-maximization (EM) algorithm for joint channel and data recovery. The algorithm makes use of the rich structure of the underlying communication problem-a structure induced by the data and channel constraints. …"
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article