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Attention-Guided Optimal Transport for Unsupervised Domain Adaptation with Class Structure Prior
Unsupervised domain adaptation(UDA) methods based on optimal transport have been successfully used to improve cross-domain classification...
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Bayes optimal estimation and its approximation algorithm for difference with and without treatment under IRSLC model
We consider verifying the effect of the treatment under the situation in which a response is given when a treatment is applied to units with...
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Optimal trained ensemble of classification model for satellite image classification
Satellite image classification is the most significant remote sensing method for computerized analysis and pattern detection of satellite data. This...
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Nonlinear Model Predictive Control for Optimal Dose Administration in Radiotherapy
This work discusses the nonlinear modeling of healthy and cancer cell population growth under the influence of radiotherapy, and proposes predictive...
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Can recurrent neural networks learn process model structure?
Various methods using machine and deep learning have been proposed to tackle different tasks in predictive process monitoring, forecasting for an...
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Linear Model-Based Optimal VVC Intercoding Rate Control Scheme
In this paper, we propose a rate control (RC) scheme with a linear model in versatile video coding (VVC) intercoding, our method introduces a...
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A Method of Optimal Control of a Technical System or Process Using the Neural Network Model and the Thompson Sampling Algorithm
AbstractThe paper proposes an approach to solving the problem of optimal management of a technical system or process (control object) in the form of...
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Structure damage diagnosis of bleacher based on DSKNet model
Bleacher usually carries a large number of people, and their safety and stability are critical. Structure damage diagnosis of bleacher can find...
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Optimal trained ensemble of classification model for speech emotion recognition: Considering cross-lingual and multi-lingual scenarios
Speech has a significant role in conveying emotional information, and SER has emerged as a crucial component of the human–computer interface that has...
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A Flexible Generative Model for Joint Label-Structure Estimation from Multifaceted Graph Data
Learning an optimal graph structure for graph neural networks (GNNs) is crucial for solving graph-based node classification, while current methods...
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Optimal Bayesian design for model discrimination via classification
Performing optimal Bayesian design for discriminating between competing models is computationally intensive as it involves estimating posterior model...
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Intelligent optimal feature selection-based hybrid variational autoencoder and block recurrent transformer network for accurate emotion recognition model using EEG signals
In the context of emotion recognition, Artificial Intelligence technology has demonstrated several functions in people's lives. Computing research is...
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Detail-aware image denoising via structure preserved network and residual diffusion model
The rapid development of deep learning has led to significant strides in image denoising research and has achieved advanced denoising performance in...
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Improving actor-critic structure by relatively optimal historical information for discrete system
Recently, actor-critic structure based neural networks are widely used in many reinforcement learning tasks. It consists of two main parts: (i) an...
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Mining Pareto-optimal counterfactual antecedents with a branch-and-bound model-agnostic algorithm
Mining counterfactual antecedents became a valuable tool to discover knowledge and explain machine learning models. It consists of generating...
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Conditional probability table limit-based quantization for Bayesian networks: model quality, data fidelity and structure score
Bayesian Networks (BN) are robust probabilistic graphical models mainly used with discrete random variables requiring discretization and quantization...
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Gradient Method for Solving Singular Optimal Control Problems
Solving an optimal control problem consists in finding a control structure and corresponding switching times. Unlike in a bang-bang case, switching...
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Salvage Value from Deterioration (SVD): An Optimal Inventory Model for Chicken Egg Marketing
Chicken egg is one of the agribusiness products that is characterized by high deterioration rate. In this paper, an optimal inventory policy for...
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A structure and texture revealing retinex model for low-light image enhancement
Low-light image enhancement is a crucial yet challenging task in computer vision and multimedia applications. Retinex-based approaches have been...
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Multicriteria client selection model using class topper optimization based optimal federated learning for healthcare informatics
Quality of life (QoL) of patients has grown as a result of thoughtful medical care systems where many stakeholders remotely review records. Data...
