بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
data modeling » data models (توسيع البحث), spatial modeling (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
data modeling » data models (توسيع البحث), spatial modeling (توسيع البحث)
element » elements (توسيع البحث)
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Scatter search for protein structure prediction. (c2008)
منشور في 2008احصل على النص الكامل
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masterThesis -
164
Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
منشور في 2016احصل على النص الكامل
doctoralThesis -
165
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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166
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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167
Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data
منشور في 2021"…In addition, for grouping similar antipatterns, a clustering process was performed to eradicate the design errors. …"
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168
Severity-Based Prioritized Processing of Packets with Application in VANETs
منشور في 2019"…In this study, we propose a generic prioritization and resource management algorithm that can be used to prioritize processing of received packets in vehicular networks. …"
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169
Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation
منشور في 2023"…Additionally, a clustering algorithm with a fuzzy membership function is implemented, allowing the robots to advance in accordance with predefined clusters and arrive at their starting place within a predetermined amount of time. …"
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170
Short-Term Load Forecasting in Active Distribution Networks Using Forgetting Factor Adaptive Extended Kalman Filter
منشور في 2023"…A few research studies focused on developing data filtering algorithm for the load forecasting process using approaches such as Kalman filter, which has good tracking capability in the presence of noise in the data collection process. …"
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171
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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172
Defining quantitative rules for identifying influential researchers: Insights from mathematics domain
منشور في 2024"…Within each categorical grouping, we meticulously selected the five most pivotal parameters. This selection process was guided by an importance score, that was derived after assessing its influence on the model's performance in the classification of data pertaining to both awardees and non awardees. …"
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176
Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation
منشور في 2022"…We describe our differentially-private model with flexible constraints and a dynamic window algorithm to maintain the privacy-budget loss in infinitely generated time-series data. …"
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177
Bee Colony Algorithm for Proctors Assignment.
منشور في 2015"…The Bee Colony algorithm is a recent population-based search algorithm that mimics the natural behavior of swarms of honey bees during the process of collecting food. …"
احصل على النص الكامل
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article -
178
Oversampling techniques for imbalanced data in regression
منشور في 2024"…For tabular data we conducted a comprehensive experiment using various models trained on both augmented and non-augmented datasets, followed by performance comparisons on test data. …"
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