بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
spatial modeling » statistical modeling (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
elements rd » elements _ (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
spatial modeling » statistical modeling (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
elements rd » elements _ (توسيع البحث)
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1
Spatially-Distributed Missions With Heterogeneous Multi-Robot Teams
منشور في 2021"…Both combine a generic MILP solver and a genetic algorithm, resulting in efficient anytime algorithms. …"
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2
CoLoSSI: Multi-Robot Task Allocation in Spatially-Distributed and Communication Restricted Environments
منشور في 2024"…<p dir="ltr">In our research, we address the problem of coordination and planning in heterogeneous multi-robot systems for missions that consist of spatially localized tasks. Conventionally, this problem has been framed as a task allocation problem that maps tasks to robots. …"
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3
Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques
منشور في 2020"…In conclusion, we compared the outcome of each algorithm and found that logistic regression is one of the best algorithms for the review-analysis of the Google Play Store from an accuracy perspective. …"
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4
STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization
منشور في 2025"…In this paper, a novel speech separation algorithm is proposed that integrates the twin-delayed deep deterministic (TD3) policy gradient reinforcement learning (RL) agent with the expectation maximization (EM) algorithm for clustering the spatial cues of individual sources separated on azimuth. …"
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5
Portfolio Selection Problem Using CVaR Risk Measures Equipped with DEA, PSO, and ICA Algorithms
منشور في 2022"…It was found that when solving the Mean-CVaR model with evolutionary algorithms, the risk decreased. …"
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6
Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study
منشور في 2022"…It was found that the calibrated model achieved these metrics with RMSE of 0.3 ◦C, and MAD of 0.8 ◦C, and 85% of data points with an error less than 0.5 ◦C for a school building case.…"
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7
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8
Fuzzy genetic algorithm for floorplanning
منشور في 2020"…Genetic algorithms (GAs) have been found to be very effective in solving numerous optimization problems, especially those with many (possibly) conflicting and noisy objectives. …"
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article -
9
Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification
منشور في 2025"…<p dir="ltr">In recent years, deep learning methods have dramatically improved medical image analysis, though earlier models faced difficulties in capturing intricate spatial and contextual details. …"
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10
Android Malware Detection Using Machine Learning
منشور في 2024"…It was found that SVM using radial basis function (RBF) kernel achieved the highest performance with an accuracy of 99.5%. …"
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article -
11
Optimization of Piezoelectric Sensor-Actuator for Plate Vibration Control Using Evolutionary Computation: Modeling, Simulation and Experimentation
منشور في 2021"…The Optimal location of the collocated sensor-actuator, as well as PID controller gains, are determined using Ant Colony Optimization (ACO) technique, then compared with the Genetic Algorithm (GA) and enumerative method (EM). …"
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12
How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation
منشور في 2023"…<p dir="ltr">What algorithm to choose for customer segmentation? Should you use one algorithm or many? …"
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13
A GLOBAL ALGORITHM FOR THE FUZZY CLUSTERING PROBLEM
منشور في 2020"…The global minimum solution of the problem is found using a simulated annealing-based algorithm. …"
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article -
14
Spectrum Sensing Algorithms for Cooperative Cognitive Radio Networks
منشور في 2010احصل على النص الكامل
doctoralThesis -
15
Social spider optimization algorithm: survey and new applications
منشور في 2024"…Finally, this chapter provides an expectation of the fields that need to work with this algorithm to improve problem-solving and the fields that have a growing number studies that use this algorithm.…"
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16
MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network
منشور في 2022"…Because the diagnosis of many neurological diseases is heavily reliant on clean EEG data, it is critical to eliminate motion artifacts from motion-corrupted EEG signals using reliable and robust algorithms. Although a few deep learning-based models have been proposed for the removal of ocular, muscle, and cardiac artifacts from EEG data to the best of our knowledge, there is no attempt has been made in removing motion artifacts from motion-corrupted EEG signals: In this paper, a novel 1D convolutional neural network (CNN) called multi-layer multi-resolution spatially pooled (MLMRS) network for signal reconstruction is proposed for EEG motion artifact removal. …"
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17
Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
منشور في 2016احصل على النص الكامل
doctoralThesis -
18
A comparative study of RSA based digital signature algorithms
منشور في 2006"…After factorization is found, the RSA problem could be solved by finding the private key using the extended Euclidean algorithm.…"
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article -
19
Physical optimization algorithms for mapping data to distributed-memory multiprocessors
منشور في 1992"…It allows large-scale mapping to become efficient, especially when the physical optimization algorithms are used.…"
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masterThesis -
20
Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
منشور في 2022"…The proposed system simulation is carried out using the MATLAB/Simulink-2021a® software. From the results, it is found that the Levenberg–Marquardt optimization algorithm-based ANN model gives the best electrical load forecasting results.…"