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Multimedia Medical Informatics System in Healthcare
In our modern 21st century, daily life would be unthinkable without computers. Multimedia and virtual reality are useful for people with spein...
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8 Karhunen-Loève Expansion
In the following, second order stochastic processes are considered, i.e. random functions x(t) satisfying E{x(t)2}<∞,...
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13 Random Vibrations of Multi-Story Structures
The procedure described in Sec.11 is now applied to both a multi degree of freedom system (12-story building, 36 degrees of freedom) and a large...
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1 Objectives
Complex deterministic systems under deterministic loading are generally analyzed by the finite element method. This is mainly due to the most...
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B Lyapunov Matrix Differential Equation
The state space equation of the system defined in (6.18) is given by, see e.g. [91],...
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State of the art for moth-flame optimization applied electric vehicles–solar–wind–hydro–thermal power system
The widespread adoption of electric vehicles (EVs) has a significant impact on the safe and reliable operation of the power system, and the...
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Parameters optimization and precision enhancement of Takagi–Sugeno fuzzy neural network
Takagi–Sugeno fuzzy neural network (TSFNN) has been widely used in intelligent prediction. The prediction accuracy of TSFNN is impacted by its model...
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Fake and propaganda images detection using automated adaptive gaining sharing knowledge algorithm with DenseNet121
An additional tool for swaying public opinion on social media is to present recent developments in the creation of natural language. The term “Deep...
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Lithium-ion battery parameter estimation based on variational and logistic map cuckoo search algorithm
Accurate estimation of battery parameters such as resistance, capacitance, and open-circuit voltage (OCV) is absolutely crucial for optimizing the...
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Subgraph generation applied in GraphSAGE deal with imbalanced node classification
In graph neural network applications, GraphSAGE applies inductive learning and has been widely applied in important research topics such as node...
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Hybrid chaotic ABC-CSO and GK-LIP techniques for smart grid competence and security
The integration of Internet of Things (IoT) technologies in the context of smart grid services holds the promise of transforming energy management...
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Cost analysis using hybrid gazelle and seagull optimization for home energy management system
Conventional electricity is more dependable, cost-effective, and robust, but it cannot meet the demands of the modern world. As a result, numerous...
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Statistical inference on multicomponent stress–strength reliability with non-identical component strengths using progressively censored data from Kumaraswamy distribution
In this article, we draw inferences on stress–strength reliability in a multicomponent system with non-identical strength components based on the...
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An improved approach for incomplete information modeling in the evidence theory and its application in classification
Incomplete information modeling and fusion under uncertain circumstances remain a significant open problem in practical engineering. In this study,...
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Weed detection in precision agriculture: leveraging encoder-decoder models for semantic segmentation
Precision agriculture uses data gathered from various sources to improve agricultural yields and the effectiveness of crop management techniques like...
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On weighted threshold moment estimation of uncertain differential equations with applications in interbank rates analysis
Uncertainty theory is a branch of mathematics for modeling belief degrees. Within the framework of uncertainty theory, uncertain variable is used to...
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Indirect adaptive observer control (I-AOC) design for truck–trailer model based on T–S fuzzy system with unknown nonlinear function
Tracking is a crucial problem for nonlinear systems as it ensures stability and enables the system to accurately follow a desired reference signal....
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Characterizations of compactness of fuzzy set space with endograph metric
In this paper, we present the characterizations of total boundedness, relative compactness and compactness in fuzzy set spaces equipped with the...
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A new uncertain multi-objective rumor intervention model
Internet rumors have no factual basis, lack credibility, and can easily trigger social panic and group attacks. Measures to effectively intervene in...
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A distributed adaptive policy gradient method based on momentum for multi-agent reinforcement learning
Policy Gradient (PG) method is one of the most popular algorithms in Reinforcement Learning (RL). However, distributed adaptive variants of PG are...
