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COMPUTER MODEL OF VIRTUAL SOCIAL NETWORK WITH RECOMMENDATION SYSTEM
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Markov model of representation of sensual images for the formation of the model of the outside world
Published 2018-11-01“…In this regard, one of the adequate mathematical tools are, apparently, probability-theoretic methods, in particular, the application of the theory of Markov processes. The method of research within the framework of the adopted model is the application of the theory of Markov processes developing at fixed points in time, i.e. …”
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123
Predicting Young’s Modulus of Aggregated Carbon Nanotube Reinforced Polymer
Published 2014-04-01Get full text
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124
MATHEMATICAL MODELLING OF THE UNMANNED AERIAL VEHICLE DYNAMICS
Published 2018-06-01Get full text
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125
FUZZY ALGORITHM TO CONTROL REACTIVE POWER FLOW IN ELECTRIC NETWORK WITH NONLINEAR LOADS
Published 2016-08-01Get full text
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126
Generating the Flood Susceptibility Map for Istanbul with GIS-Based Machine Learning Algorithms
Published 2024-01-01“…Random forest (RF), stochastic gradient boosting (SGB), and XGBoost algorithms were used. …”
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127
Anomaly detection using unsupervised machine learning algorithms: A simulation study
Published 2024-12-01“…This study presents a comprehensive evaluation of five prominent unsupervised machine learning anomaly detection algorithms: One-Class Support Vector Machine (One-Class SVM), One-Class SVM with Stochastic Gradient Descent (SGD), Isolation Forest (iForest), Local Outlier Factor (LOF), and Robust Covariance (Elliptic Envelope). …”
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128
Efficient quantum algorithm to simulate open systems through a single environmental qubit
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129
Low‐carbon economic operation of multi‐energy microgrid based on multi‐level robust optimisation
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130
Cognitive Electronic Jamming Decision-Making Method Based on Improved Q-Learning Algorithm
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131
High-Precision Modal Decomposition of Laser Beams Based on Globally Optimized SPGD Algorithm
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132
Environmental impacts of economic growth: A STIRPAT analysis using machine learning algorithms
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133
The Effect of Entropy on the Performance of Modified Genetic Algorithm Using Earthquake and Wind Time Series
Published 2018-01-01“…The initial populations of stochastic origin of the genetic algorithm were replaced using the series of time of winds and earthquakes. …”
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Comparative Performance Analysis of Optimization Algorithms in Artificial Neural Networks for Stock Price Prediction
Published 2025-01-01“…This study lays the groundwork for future research by suggesting the exploration of additional optimization algorithms and more complex neural network architectures to further improve prediction accuracy.…”
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136
Study of algorithmic approaches to digital signal filtering and the influence of input quantization on output accuracy
Published 2025-01-01“…Using mathematical tools such as Z-transforms and transfer functions, the paper provides an in-depth performance evaluation of filter behaviour under both deterministic and stochastic inputs. The research supports the broader integration of AI-driven technologies in modern automation systems, paving the way for more adaptive, efficient, and fault-tolerant control mechanisms in complex environments.…”
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137
Artificial Optimizer Algorithm for Power System Stabilizer design problem and multidisciplinary engineering applications
Published 2024-11-01“…The novelty of this research lies in presenting a fresh stochastic algorithm enthused via ‘Velociraptor’ social intelligence in wildlife (or nature), known as the Velociraptor Group Optimization algorithm (VROA). …”
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Wind energy resource assessment based on joint wolf pack intelligent optimization algorithm.
Published 2025-01-01“…And the research method can effectively evaluate the status of wind energy resources, with low time complexity at different data scales, taking no more than 5 seconds, and improving operational efficiency. …”
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140
Multi-strategy enhanced marine predator algorithm: performance investigation and application in intrusion detection
Published 2025-02-01“…Abstract Marine Predator Algorithm (MPA) is a recently proposed population-based metaheuristic algorithm (MA), and its effectiveness has been proven in many stochastic optimization challenges. …”
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