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Dynamic event-triggered adaptive control for state-constrained strict-feedback nonlinear systems with guaranteed feasibility conditions
In this paper, a new dynamic event-triggered control solution is presented for state-constrained strict-feedback nonlinear systems. The current...
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The work of art in the age of AI reproducibility
Walter Benjamin wrote his prophetic essay, “The Work of Art in the Age of Mechanical Reproduction,” almost a century ago, yet it is still pertinent...
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FedKGRec: privacy-preserving federated knowledge graph aware recommender system
Knowledge Graph(KG) aware recommendation generally incorporates KG as side information to enhance the user and item representations. Although...
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KHACDD: a knowledge-based hybrid method for multilabel sentiment analysis on complex sentences using attentive capsule and dual structured recurrent network
Using a machine to mine public opinion saves money and time. Traditional sentiment analysis approaches are typically unable to handle multi-meaning...
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An agent-based persuasion model using emotion-driven concession and multi-objective optimization
Multi-attribute negotiation is essentially a multi-objective optimization (MOO) problem, where models of agent-based emotional persuasion (EP) can...
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Extract Implicit Semantic Friends and Their Influences from Bipartite Network for Social Recommendation
Social recommendation often incorporates trusted social links with user-item interactions to enhance rating prediction. Although methods that...
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A novel dual-branch Alzheimer’s disease diagnostic model based on distinguishing atrophic patch localization
Magnetic resonance imaging (MRI), a non-ionizing radiation imaging method, is widely utilized in diagnosing Alzheimer’s disease (AD) due to its...
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Video anomaly localization using modified faster RCNN with soft NMS algorithm
Localization of anomalies in surveillance videos is a critical component of smart and intelligent surveillance systems. The goal of anomaly detection...
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Principal components-based quantification of hierarchical k-core assortativity
Hierarchical networks typically get rated to be not assortative on the basis of the degrees of the end vertices of the edges. However, degree...
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An efficient facial emotion recognition using convolutional neural network with local sorting binary pattern and whale optimization algorithm
Facial emotion recognition is one of the fields of machine learning and pattern recognition. Facial expression recognition is used in a variety of...
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Domain independent heuristics for online stochastic contingent planning
Partially observable Markov decision processes (POMDP) are a useful model for decision-making under partial observability and stochastic actions....
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Deep learning-based classification and application test of multiple crop leaf diseases using transfer learning and the attention mechanism
Crop diseases are among the major natural disasters in agricultural production that seriously restrict the growth and development of crops,...
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Development of a leech-inspired peristaltic crawling soft robot for intestine inspection
The development of a non-destructive and patient-friendly method for examining the intestines is crucial for early prevention and timely diagnosis of...
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Unsupervised diffusion based anomaly detection for time series
Unsupervised anomaly detection aims to construct a model that effectively detects invisible anomalies by training and reconstruct normal data. While...
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Exploration and Exploitation of Unlabeled Data for Open-Set Semi-supervised Learning
In this paper, we address a complex but practical scenario in semi-supervised learning (SSL) named open-set SSL, where unlabeled data contain both...
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FairMOE: counterfactually-fair mixture of experts with levels of interpretability
With the rise of artificial intelligence in our everyday lives, the need for human interpretation of machine learning models’ predictions emerges as...
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Optimizing pre-copy live virtual machine migration in cloud computing using machine learning-based prediction model
One of the preconditions for efficient cloud computing services is the continuous availability of services to clients. However, there are various...
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How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses
One-on-one tutoring is widely acknowledged as an effective instructional method, conditioned on qualified tutors. However, the high demand for...
