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Peng-Yeng Yin and Ray-I Chang
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Yingli LV, Qui-Thao Le, Hoang-Bac Bui, Xuan-Nam Bui, Hoang Nguyen, Trung Nguyen-Thoi, Jie Dou and Xuan Song
In this study, the ilmenite content in beach placer sand was estimated using seven soft computing techniques, namely random forest (RF), artificial neural network (ANN), k-nearest neighbors (kNN), cubist, support vector machine (SVM), stochastic gradient...
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Jonas Aust, Sam Shankland, Dirk Pons, Ramakrishnan Mukundan and Antonija Mitrovic
Background?In the field of aviation, maintenance and inspections of engines are vitally important in ensuring the safe functionality of fault-free aircrafts. There is value in exploring automated defect detection systems that can assist in this process. ...
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Pavel Jasek, Lenka Vrana, Lucie Sperkova, Zdenek Smutny and Marek Kobulsky
This article provides an empirical statistical analysis and discussion of the predictive abilities of selected customer lifetime value (CLV) models that could be used in online shopping within e-commerce business settings. The comparison of CLV predictiv...
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Francisco José García-Peñalvo, Cristina Casado-Lumbreras, Ricardo Colomo-Palacios and Aman Yadav
Artificial intelligence applied to the educational field has a vast potential, especially after the effects worldwide of the COVID-19 pandemic. Online or blended educational modes are needed to respond to the health situation we are living in. The tutori...
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Peranut Nimitsurachat and Peter Washington
Emotion recognition models using audio input data can enable the development of interactive systems with applications in mental healthcare, marketing, gaming, and social media analysis. While the field of affective computing using audio data is rich, a m...
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Masky Mackita, Soo-Young Shin and Tae-Young Choe
Many companies are adapting cloud computing technology because moving to the cloud has an array of benefits. During decision-making, having processed for adopting cloud computing, the importance of risk management is progressively recognized. However, tr...
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Kexiang Qian, Hongyu Yang, Ruyu Li, Weizhe Chen, Xi Luo and Lihua Yin
With the rapid growth of IoT devices, the threat of botnets is becoming increasingly worrying. There are more and more intelligent detection solutions for botnets that have been proposed with the development of artificial intelligence. However, due to th...
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Paolo Fosci and Giuseppe Psaila
The possibility offered by the current technology to collect and store data sets regarding public places located on the Earth globe is posing new challenges, as far as the integration of these data sets is concerned. Analysts usually need to perform such...
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Juan A. Arias-López, Carmen Cadarso-Suárez and Pablo Aguiar-Fernández
In the field of medical imaging, one of the most extended research setups consists of the comparison between two groups of images, a pathological set against a control set, in order to search for statistically significant differences in brain activity. F...
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JohnBosco Agbaegbu, Oluwasefunmi Tale Arogundade, Sanjay Misra and Robertas Dama?evicius
Cloud computing as a technology has the capacity to enhance cooperation, scalability, accessibility, and offers discount prospects using improved and effective computing, and this capability helps organizations to stay focused. Ontologies are used to mod...
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Bruno Colonetti, Erlon Cristian Finardi and Welington de Oliveira
Independent System Operators (ISOs) worldwide face the ever-increasing challenge of coping with uncertainties, which requires sophisticated algorithms for solving unit-commitment (UC) problems of increasing complexity in less-and-less time. Hence, decomp...
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Petr Krysl and Ahmad T. Abawi
Computing backscattering of harmonic acoustic waves from underwater elastic targets of arbitrary shape is a problem of considerable practical significance. The finite element method is commonly applied to the discretization of the target; on the other ha...
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Ioannis G. Tsoulos
This paper presents and analyzes a programming tool that implements a method for classification and function regression problems. This method builds new features from existing ones with the assistance of a hybrid algorithm that makes use of artificial ne...
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F. Papon, J.M. Beauvais, S. Midenet, E. Côme, ... C. Soulas
Pág. 2717 - 2736
This paper is derived from project VERT (evaluation of the bicycle as a feeder mode to rail outside urban areas). It focuses on economic analysis implemented in several modeled scenarios, making it possible to compare bike and ride solutions with park an...
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Seif-Eddeen K. Fateen, Adrián Bonilla-Petriciolet
Pág. 186 - 200
This study introduces new soft computing optimization techniques for performing the phase stability analysis and phase equilibrium calculations in both reactive and non-reactive systems. In particular, the performance of the several swarm intelligence op...
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Zereng Chen, Qinghe Zhang, Guoquan Ran and Yang Nie
A wetting and drying treatment for a three-dimensional discontinuous Galerkin hydrodynamic model without mode splitting (external and internal modes) was developed. In this approach, computing elements are classified into wet, dry, and semidry elements, ...
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Arup Dey, Nita Yodo, Om P. Yadav, Ragavanantham Shanmugam and Monsuru Ramoni
Data-driven algorithms have been widely applied in predicting tool wear because of the high prediction performance of the algorithms, availability of data sets, and advancements in computing capabilities in recent years. Although most algorithms are supp...
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Guangjie Lv, Caixia Song, Pengmin Xu, Zhiguo Qi, Heyu Song and Yi Liu
In recent years, with the frequent crises of trust in the food industry, food safety issues have become an issue of particular concern to consumers. The traditional agricultural food logistics and transportation model can no longer guarantee the traceabi...
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Ziyi Li, Yang Li, Yanping Wang, Guangda Xie, Hongquan Qu and Zhuoyang Lyu
With the rapid development of deep learning, more and more complex models are applied to 3D point cloud object detection to improve accuracy. In general, the more complex the model, the better the performance and the greater the computational resource co...
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