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Takeshi Kojima and Tetsuya Yoshinaga
Recently, an extended family of power-divergence measures with two parameters was proposed together with an iterative reconstruction algorithm based on minimization of the divergence measure as an objective function of the reconstructed images for comput...
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Shumin Lai, Longjun Huang, Ping Li, Zhenzhen Luo, Jianzhong Wang and Yugen Yi
In this paper, we present a novel unsupervised feature selection method termed robust matrix factorization with robust adaptive structure learning (RMFRASL), which can select discriminative features from a large amount of multimedia data to improve the p...
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Cihan Ates, Dogan Bicat, Radoslav Yankov, Joel Arweiler, Rainer Koch and Hans-Jörg Bauer
In this study, we propose a population-based, data-driven intelligent controller that leverages neural-network-based digital twins for hypothesis testing. Initially, a diverse set of control laws is generated using genetic programming with the digital tw...
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Bowen Xing, Liang Zhang, Zhenchong Liu, Hengjiang Sheng, Fujia Bi and Jingxiang Xu
The goal of this paper is to strengthen the supervision of fishing behavior in the East China Sea and effectively ensure the sustainable development of fishery resources. Based on AIS data, this paper analyzes three types of fishing boats (purse seine op...
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Nasrin Aalimahmoody, Chiara Bedon, Nasim Hasanzadeh-Inanlou, Amir Hasanzade-Inallu and Mehdi Nikoo
The number of effective factors and their nonlinear behaviour?mainly the nonlinear effect of the factors on concrete properties?has led researchers to employ complex models such as artificial neural networks (ANNs). The compressive strength is certainly ...
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Nehal K. Ahmed, Elsayed E. Hemayed and Magda B. Fayek
In this paper, we propose an unconstrained face verification approach that is dependent on Hybrid Siamese architecture under limited resources. The general face verification trend suggests that larger training datasets and/or complex architectures lead t...
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Alfredo Cuzzocrea, Enzo Mumolo and Giorgio Mario Grasso
In this paper we describe a novel algorithm, inspired by the mirror neuron discovery, to support automatic learning oriented to advanced man-machine interfaces. The algorithm introduces several points of innovation, based on complex metrics of similarity...
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Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk and Tanja Alderliesten
Current state-of-the-art medical deformable image registration (DIR) methods optimize a weighted sum of key objectives of interest. Having a pre-determined weight combination that leads to high-quality results for any instance of a specific DIR problem (...
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