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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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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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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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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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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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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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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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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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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...
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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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Modelling and Simulation of Stray Current in Urban Rail Transit—A Review
With the rapid development of urban rail transit, the issue of stray current due to incomplete insulation between the rail and the earth is...
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Deep learning framework for stock price prediction using long short-term memory
Forecasting stock prices is always considered as complicated process due to the dynamic and noisy characteristics of stock data influenced by...
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Prediction of servo industry development in China by an optimized reverse Hausdorff fractional discrete grey power model
In order to accurately predict the development of the servo industry in China, this study proposes a Hausdorff fractional reverse accumulated grey...
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Convective instability analysis of the flow due to a linearly shrinking sheet with uniform suction
We explore the linear stability of a two-dimensional flow induced due to streamwise linear shrinking of a flat surface. Dual solutions for mean flow...
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A multiobjective multiperiod portfolio selection approach with different investor attitudes under an uncertain environment
Though there are several studies on uncertain single-period portfolio selection, the uncertain multiperiod portfolio selection literature is still in...
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Vector-based uncertain ordered density weighted averaging: a family of incentive-oriented aggregation operators
Incentive is a common phenomenon in the process of decision management. It is important and necessary to integrate incentive requirement into the...
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Optimal analysis and design of large-scale problems using a Modified Adolescent Identity Search Algorithm
This research uses a new method called the Modified Adolescent Identity Search Algorithm (MAISA) to solve optimization problems. The identity of a...
