بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data testing » data using (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data testing » data using (توسيع البحث)
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121
On Equivalent Circuit Model-Based State-of-Charge Estimation for Lithium-Ion Batteries in Electric Vehicles
منشور في 2025"…Two real-time model-based estimation algorithms, Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF), are compared for SoC estimation. …"
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122
Stochastic evolution algorithm for technology mapping
منشور في 1998"…SELF-Map is based on the Stochastic Evolution (SE) algorithm. …"
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123
Evolutionary algorithm for protein structure prediction
منشور في 2010"…In this paper, we present an improved genetic algorithm (GA) for predicting 3D structures of proteins based on the hydrophobic polar model. …"
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conferenceObject -
124
Improvement Algorithm for Limited Space Scheduling
منشور في 2001"…The model characterizes resource space requirements over time and establishes a time-space relationship for each activity in the schedule, based on alternative resource levels. …"
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125
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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126
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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127
Robust Kalman filter and smoother for errors-in-variables model with observation outliers based on Least-Trimmed-Squares
منشور في 2020"…Keywords: Errors-in-variables model, Least-Trimmed- Squares, Kalman filter and smoother, outliers, random search algorithm, subsampling method.…"
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128
Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models
منشور في 2022"…Pre-processing on the dataset is required to standardize the dataset by resizing the image into 224 * 224 pixels, convert into jpg format and augmentation. Based on the accuracy result from the model, the best model for the salak classification is ResNet50 which gave an accuracy of 84% followed by VGG16 that gave an accuracy of 77% and CNN which gave 31%.…"
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129
Stochastic Geometry-Based Model for Dynamic Allocation of Metering Equipment in Spatio-Temporal Expanding Power Grids
منشور في 2019"…Using the developed model, a multi-year algorithm for the allocation of metering equipment is proposed based on finite horizon dynamic programming, given budgetary and technical constraints on system observability. …"
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130
An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting
منشور في 2021"…Then, the stacked LSTM model, optimized by Tabu search algorithm, uses the residual error correction associated with the original data to produce a point and interval PVPF. …"
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131
An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications
منشور في 2021"…In this review paper, JAYA algorithm, which is a recent population-based algorithm is intensively overviewed. …"
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132
Scan Test Cost and Power Reduction Through Systematic Scan Reconfiguration
منشور في 0000"…Using SAS, this paper also presents systematic scan reconfiguration, a test data compression algorithm that is applied to achieve 10times to 40 times compression ratios without requiring any information from the automatic-test-pattern-generation tool about the unspecified bits. …"
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133
A kernelization algorithm for d-Hitting Set
منشور في 2010"…For 3-Hitting Set, an arbitrary instance is reduced into an equivalent one that contains at most 5k2+k elements. This kernelization is an improvement over previously known methods that guarantee cubic-order kernels. …"
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134
NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM
منشور في 2020"…The performance of the new algorithms is compared with the fuzzy c-means algorithm by testing them on four published data sets. …"
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135
The Effects of Data Mining on Small Businesses in Dubai
منشور في 2011"…While there are numerous studies on the best data mining models and their uses, even on certain industries, this study focuses on the applications more than the algorithms and models and their usefulness for small businesses specifically. …"
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136
Impact Of Multidisciplinary Maternal Resuscitation Training Program on Improving the Front-Line Care Provider’s Readiness to Manage Maternal Cardiac Arrest: A Pre-test/Post-test St...
منشور في 2024"…The sample size consisted of three groups of front-line multidisciplinary obstetric maternal resuscitation teams (physicians, midwives, and nurses) divided into a pre-test group (N=30) and post-test group (N=30). The multidisciplinary resuscitation teams were observed during the cardiac arrest mock drills both before and after conducting the multidisciplinary resuscitation simulation-based training program and the introduction of the maternal resuscitation algorithm pathway against seven KPIs. …"
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137
An efficient claim management assurance system using EPC contract based on improved monarch butterfly optimization models
منشور في 2024"…To address these challenges, a claim management system is developed based on the Improved Monarch Butterfly Optimization Algorithm (IMBOA) and the principles of EPC. …"
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138
Weather Sensitivity Of Physically Based Model Of Residential Air-Conditioners For Direct Load Control: A Case Study
منشور في 2020"…An online maximum likelihood based-identification algorithm is developed. The required hardware and system instrumentation are detailed. …"
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139
Weather Sensitivity Of Physically Based Model Of Residential Air-Conditioners For Direct Load Control: A Case Study
منشور في 2020"…An online maximum likelihood based-identification algorithm is developed.The required hardware and system instrumentation are detailed. …"
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140
Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
منشور في 2022"…Decomposition-based hybrid models have gained significant popularity in recent years. …"