610   Artículos

 
en línea
Chuanxiang Song, Seong-Yoon Shin and Kwang-Seong Shin    
This study introduces a novel approach named the Dynamic Feedback-Driven Learning Optimization Framework (DFDLOF), aimed at personalizing educational pathways through machine learning technology. Our findings reveal that this framework significantly enha... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yugen Yi, Haoming Zhang, Ningyi Zhang, Wei Zhou, Xiaomei Huang, Gengsheng Xie and Caixia Zheng    
As the feature dimension of data continues to expand, the task of selecting an optimal subset of features from a pool of limited labeled data and extensive unlabeled data becomes more and more challenging. In recent years, some semi-supervised feature se... ver más
Revista: Information    Formato: Electrónico

 
en línea
Lin Guo, Anand Balu Nellippallil, Warren F. Smith, Janet K. Allen and Farrokh Mistree    
When dealing with engineering design problems, designers often encounter nonlinear and nonconvex features, multiple objectives, coupled decision making, and various levels of fidelity of sub-systems. To realize the design with limited computational resou... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Sheng Zhang, Guangzhong Liu and Chen Cheng    
Over the past few decades, unmanned surface vehicles (USV) have drawn a lot of attention. But because of the wind, waves, currents, and other sporadic disturbances, it is challenging to understand and collect correct data about USV dynamics. In this pape... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Chen Xia, Christian Eduardo Verdonk Gallego, Adrián Fabio Bracero, Víctor Fernando Gómez Comendador and Rosa María Arnaldo Valdés    
This paper investigates the impact of trajectory predictor performance on the encounter probability generated by an adaptive conflict detection tool and examines the flexibility of the tool dependent on its adjustable thresholds, using historical radar t... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Shuang Che, Yan Chen, Longda Wang and Chuanfang Xu    
This work discusses the electric vehicle (EV) ordered charging planning (OCP) optimization problem. To address this issue, an improved dual-population genetic moth?flame optimization (IDPGMFO) is proposed. Specifically, to obtain an appreciative solution... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Ryota Higashimoto, Soh Yoshida and Mitsuji Muneyasu    
This paper addresses the performance degradation of deep neural networks caused by learning with noisy labels. Recent research on this topic has exploited the memorization effect: networks fit data with clean labels during the early stages of learning an... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ying-Hsun Lai, Shin-Yeh Chen, Wen-Chi Chou, Hua-Yang Hsu and Han-Chieh Chao    
Federated learning trains a neural network model using the client?s data to maintain the benefits of centralized model training while maintaining their privacy. However, if the client data are not independently and identically distributed (non-IID) becau... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Hongfeng Gao, Tiexin Xu, Renlong Li and Chaozhi Cai    
Because the gearbox in transmission systems is prone to failure and the fault signal is not obvious, the fault end cannot be located. In this paper, a gearbox fault diagnosis method grounded on improved complete ensemble empirical mode decomposition with... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Devon Barrow, Antonija Mitrovic, Jay Holland, Mohammad Ali and Nikolaos Kourentzes    
In forecasting research, the focus has largely been on decision support systems for enhancing performance, with fewer studies in learning support systems. As a remedy, Intelligent Tutoring Systems (ITSs) offer an innovative solution in that they provide ... ver más
Revista: Forecasting    Formato: Electrónico

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