بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
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Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems
منشور في 2023"…The last retained features from the proposed PSO-based methods are fed to the neural network (NN) classifier. …"
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Intelligent Rapidly-Exploring Random Tree Star Algorithm
منشور في 2024احصل على النص الكامل
doctoralThesis -
45
Modeling and Control of a Robot Based Rehabilitation System for the Head-Neck Joint
منشور في 2024احصل على النص الكامل
doctoralThesis -
46
A neural networks algorithm for data path synthesis
منشور في 2003"…The algorithm is driven by a motion equation that determines the neurons firing conditions based on the modified Hopfield neural network model of computation. …"
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احصل على النص الكامل
احصل على النص الكامل
article -
47
Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
منشور في 2023"…To represent these features numerically, we employed a semantic-based model called BERT instead of the commonly used count-based models. …"
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48
Allocating data to distributed-memory multiprocessors by genetic algorithms
منشور في 2016"…These are a sequential hybrid GA, a coarse-grain GA and a fine-grain GA. The last two are based on models of natural evolution that are suitable for parallel implementation; they have been implemented on a hypercube and a Connection Machine. …"
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احصل على النص الكامل
احصل على النص الكامل
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49
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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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51
Teaching–learning-based optimization algorithm: analysis study and its application
منشور في 2024"…The teaching–learning-based optimization (TLBO) algorithm is a novel nature-based optimization approach that has attracted a lot of interest from researchers because of its great capacity to handle optimization problems. …"
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52
Design of adaptive arrays based on element position perturbations
منشور في 1993"…The main advantage of using this technique over the other commonly used methods is that the amplitudes and phases of the array elements can be used mainly to steer the main beam towards the desired signal. …"
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احصل على النص الكامل
article -
53
Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method
منشور في 2021"…The proposed forecasting tool incorporates a base model and meta-model layers. The first-layer base learner combines extreme learning machines, extremely randomized trees, k-nearest neighbor, and mondrian forest models. …"
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54
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
منشور في 2024"…Unsupervised machine learning is a powerful technique for performing clustering, which involves identifying patterns or similarities within a dataset and grouping them into distinct clusters or subgroups. Various clustering methods are available, including K-means, hierarchical clustering, and density-based clustering. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
55
Economic load dispatch using memetic sine cosine algorithm
منشور في 2022"…SCA is a recent population based optimizer turned towards the optimal solution using a mathematical-based model based on sine and cosine trigonometric functions. …"
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56
Multiclass feature selection with metaheuristic optimization algorithms: a review
منشور في 2022"…Metaheuristic algorithms have also been presented in four primary behavior-based categories, i.e., evolutionary-based, swarm-intelligence-based, physics-based, and human-based, even though some literature works presented more categorization. …"
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57
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A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition
منشور في 2025"…A range of machine learning (ML) methods can be used to recognize facial expressions based on data from small to large datasets. …"
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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). Optimization in this paper is based on minimizing frequency average energy. …"