بدائل البحث:
algorithm cost » algorithm goa (توسيع البحث), algorithm aoa (توسيع البحث), algorithm its (توسيع البحث)
algorithm fa » algorithm _ (توسيع البحث), algorithms a (توسيع البحث), algorithms _ (توسيع البحث)
algorithm cost » algorithm goa (توسيع البحث), algorithm aoa (توسيع البحث), algorithm its (توسيع البحث)
algorithm fa » algorithm _ (توسيع البحث), algorithms a (توسيع البحث), algorithms _ (توسيع البحث)
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Efficient Algorithms for Constructing Preset Distinguishing Sequences for Nondeterministic Finite State Machines
منشور في 2016الموضوعات: احصل على النص الكامل
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Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
منشور في 2022"…The performance of three machine learning (ML) algorithms was assessed to predict the wild blueberry harvest losses on the ground. …"
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Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem
منشور في 2023"…In particular, a new modified method based on the Arithmetic Optimization Algorithm is proposed. The optimization is applied to a formulated cost function that considers uncertainty, false alarms, and existing clutters. …"
احصل على النص الكامل
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Using machine learning algorithm for detection of cyber-attacks in cyber physical systems
منشور في 2022"…In the event of a violation in internet security, an attacker was able to interfere with the system's functions, which might result in catastrophic consequences. …"
احصل على النص الكامل
احصل على النص الكامل
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Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology
منشور في 2023"…In this study, the emergency control algorithms based on ensemble machine learning algorithms (XGBoost and Random Forest) were developed for a low-inertia power system. …"
احصل على النص الكامل
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Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques
منشور في 2024"…An objective function utilizing the covariance of the fused tracks is used by the first algorithm while a cost function based on the Kullback-Leibler (KL) divergence measure is used in the second case for training the LSTM. …"
احصل على النص الكامل
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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"…The proposed model determines a training dataset by covering all the aspects of cost function calculation. This training dataset helps to train the model, which allows for efficient decision-making in optimum energy usage. …"
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Android Malware Detection Using Machine Learning
منشور في 2024"…In this work, several machine learning algorithms were utilized, namely k-Nearest neighbor (KNN), Decision Trees (DT), Naive Bayes (NB), Support Vector Machine (SVM) and other ensemble classifiers including Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LGBM) and CatBoost. …"
احصل على النص الكامل
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ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation
منشور في 2022"…The new combined ACO-DTC strategy has been studied for optimizing the gains of the PID controller by using a cost function such as Integral Square Error (ISE). …"
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A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities
منشور في 2021"…Three objective functions are considered to minimize costs, noise pollutions, and the harassment caused by the establishment of a hub for people, a new objective that locates hubs in less populated areas. …"