بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
model algorithm » mould algorithm (توسيع البحث)
data model » data models (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
model algorithm » mould algorithm (توسيع البحث)
data model » data models (توسيع البحث)
element » elements (توسيع البحث)
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101
Using Educational Data Mining Techniques in Predicting Grade-4 students’ performance in TIMSS International Assessments in the UAE
منشور في 2018"…We examined different feature selection methods and classification algorithms to find the best prediction model with the highest accuracy. …"
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102
Information reconciliation through agent controlled graph model. (c2018)
منشور في 2018"…Multiple models have been proposed and different techniques and data structures were used. …"
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masterThesis -
103
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104
Digital Image Watermarking Using Balanced Multiwavelets
منشور في 2006"…In this paper, a robust watermarking algorithm using balanced multiwavelet transform is proposed. …"
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article -
105
Optimizing Energy Consumption of Cloud Computing IaaS
منشور في 2017احصل على النص الكامل
doctoralThesis -
106
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107
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108
A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks
منشور في 2022"…The proposed energy-efficient routing protocol is based on an enhanced genetic algorithm and data fusion technique. In the proposed energy-efficient routing protocol, an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation that helps determine the nodes. …"
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109
Unsupervised histogram based color image segmentation
منشور في 2003"…Histograms are then computed, smoothed and downsampled. A peak picking algorithm finds the predominant peaks in the histograms. …"
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article -
110
Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy
منشور في 2023"…Adjusting the weight and bias of the ANN model using an optimization algorithm is known as the training process. …"
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111
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112
Scatter search for protein structure prediction. (c2008)
منشور في 2008احصل على النص الكامل
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masterThesis -
113
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114
Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data
منشور في 2023"…Our experimental design included Data Collection, Feature Engineering, ML model selection/development, and reporting evaluation of metrics.…"
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115
Decision-level fusion for single-view gait recognition with various carrying and clothing conditions
منشور في 2017"…Gait samples are fed into the MPCA and MPCALDA algorithms using a novel tensor-based form of the gait images. …"
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article -
116
Predict Student Success and Performance factors by analyzing educational data using data mining techniques
منشور في 2022"…The model is then applied to data collected from a reputable university that included 126,698 records with twenty-six (26) initial data attributes. …"
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117
Automatic and Intelligent Stressor Identification Based on Photoplethysmography Analysis
منشور في 2021"…This work leverages the output of wearable technology to provide automatic stress and stressor identification model. In particular, this study proposes a novel algorithm that first detects instances of stress and then classifies the stressor type using photoplethysmography (PPG) data from wearable smartwatches. …"
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118
A multi-pretraining U-Net architecture for semantic segmentation
منشور في 2025"…The proposed approach makes advantage of data augmentation to generate newly synthesized images, which are subsequently processed using a watershed mask. …"
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119
Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE
منشور في 2020"…The data analytics maturity model is used as the conceptual model for evaluating both data analytics and data governance in this research. …"
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120
Label dependency modeling in Multi-Label Naïve Bayes through input space expansion
منشور في 2024"…To accommodate the heterogeneity of the expanded input space, we refine the likelihood parameters of iMLNB using a joint density function, which is adept at handling the amalgamation of data types. We subject our enhanced iMLNB model to a rigorous empirical evaluation, utilizing six benchmark datasets. …"