بدائل البحث:
model algorithm » mould algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), rd algorithm (توسيع البحث), colony algorithm (توسيع البحث)
data model » data models (توسيع البحث)
experiments » experimental (توسيع البحث)
model algorithm » mould algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), rd algorithm (توسيع البحث), colony algorithm (توسيع البحث)
data model » data models (توسيع البحث)
experiments » experimental (توسيع البحث)
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1
Development of an Optimization Algorithm for Internet Data Traffic
منشور في 2020"…The algorithm monitors data repetitions in IP datagram and prepares a compression code in response of this repetition. …"
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article -
2
A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network
منشور في 2019"…Moreover, various standard drift related experiments are conducted, of which the results validate our proposed algorithm's superior robustness for the wide range of real-life applications.…"
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3
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 2024"…<p>Feature selection (FS) is a crucial technique in machine learning and data mining, serving a variety of purposes such as simplifying model construction, facilitating knowledge discovery, improving computational efficiency, and reducing memory consumption. …"
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Allocating data to distributed-memory multiprocessors by genetic algorithms
منشور في 2016"…We present three genetic algorithms (GAs) for allocating irregular data sets to multiprocessors. …"
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احصل على النص الكامل
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6
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
منشور في 2021"…We also developed a binary template matching-based algorithm, which gives 93.64% accuracy 6X faster. …"
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7
Practical single node failure recovery using fractional repetition codes in data centers
منشور في 2016"…FR codes consist of a concatenation of an outer maximum distance separable (MDS) code and an inner fractional repetition code that splits the data into several blocks and stores multiple replicas of each on different nodes in the system. …"
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conferenceObject -
8
Efficient Approximate Conformance Checking Using Trie Data Structures
منشور في 2021الموضوعات: "…Estimation error,Runtime,Computational modeling,Data structures,Approximation algorithms,Encoding,Computational efficiency…"
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احصل على النص الكامل
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9
Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units
منشور في 2019الموضوعات: احصل على النص الكامل
article -
10
Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory
منشور في 2025الموضوعات: -
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12
Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines
منشور في 2015احصل على النص الكامل
doctoralThesis -
13
A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT
منشور في 2023"…This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …"
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14
A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models
منشور في 2010"…In this paper, we present a genetic algorithm that adapts such models to new data. We give empirical evidence illustrating that our approach out-beats the machine learning algorithm C4.5 and random guess.…"
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article -
15
Deep learning-based user experience evaluation in distance learning
منشور في 2023"…More than 160,000 tweets, addressing conditions related to the major change in the education system, were gathered from Twitter social network and deep learning-based sentiment analysis models and topic models based on latent dirichlet allocation (LDA) algorithm were developed and analyzed. …"
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16
GenDE: A CRF-Based Data Extractor
منشور في 2020"…Moreover, the system solves the problem of automatic data extraction from modern JavaScript sites in which data/schema are attached (on the client side) in a JSON format. The experiments show an encouraging result as it outperforms the CSP-based extractor algorithm (95% and 96% of recall and precision, respectively). …"
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17
Oversampling techniques for imbalanced data in regression
منشور في 2024"…For such high-dimension data our approach outperforms the Synthetic Minority Oversampling Technique for Regression (SMOTER) algorithm for the IMDB-WIKI and AgeDB image datasets. …"
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Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm
منشور في 2024"…This article outlines the input data and partial shading conditions employed in the replication model of Sequential Monte Carlo (SMC)-based tracking techniques for photovoltaic (PV) systems. …"
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article -
20
A Tabu Search algorithm for mapping data to multicomputers. (c1997)
منشور في 1997احصل على النص الكامل
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masterThesis