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Privacy-preserving matrix factorization for recommendation systems using Gaussian mechanism and functional mechanism
Building a recommendation system involves analyzing user data, which can potentially leak sensitive information about users. As shown in numerous...
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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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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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A hybridization of multiple imputation and one-class bagging ensemble approach for missing value and class imbalance problem
Class imbalance in a dataset leads to erroneous outcomes that engrave the learning techniques and high misclassification cost in the minority class....
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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...
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Sentiments analysis for intelligent customer service dialogue using hybrid word embedding and stacking ensemble
The intelligent customer service conversations between customer and customer service agent exhibit characteristics such as serious colloquialism, a...
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Unsupervised Graph Representation Learning with Inductive Shallow Node Embedding
Network science has witnessed a surge in popularity, driven by the transformative power of node representation learning for diverse applications like...
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An expert method for defining the adaptation conditions of irrigated crops with the ecosystem of Northwestern China
The uncertain impacts of climate changes on the crop water requirements disarrange the on-farm balance of water supply and demand, thus here needs to...
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Process window and mechanical properties for thin magnesium- and zinc-wires in dieless wire drawing
Due to their biodegradable properties, magnesium- and zinc-based alloys are in the focus of interest for numerous medical applications, e.g. in the...
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Picture fuzzy filters on residuated lattices
Filters play an important role in studying fuzzy logics. From a logical point of view, filters correspond to sets of provable formulae. In this...
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Optimization of the different controller parameters via OBL approaches based artificial ecosystem optimization involving fitness distance balance guiding mechanism for efficient motor speed regulation of DC motor
This study proposes a new optimization approach, which is called as artificial ecosystem optimization algorithm with fitness-distance balance guiding...
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k-filters and k-\(\{^*\}\)-congruences of core regular double Stone algebras
In this paper, we investigate various elegant filters and congruences of the class of core regular double Stone algebras (briefly CRD -Stone...
