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Xiaoping Jiang, Huilin Zhao, Junwei Liu, Suliang Ma and Mingzhen Hu
To address the problems of difficult online monitoring, low recognition efficiency and the subjectivity of work condition identification in mineral flotation processes, a foam flotation performance state recognition method is developed to improve the iss...
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Ali Reza Ghanizadeh, Ahmad Aziminejad, Panagiotis G. Asteris and Danial Jahed Armaghani
Earthquake-induced soil liquefaction (EISL) can cause significant damage to structures, facilities, and vital urban arteries. Thus, the accurate prediction of EISL is a challenge for geotechnical engineers in mitigating irreparable loss to buildings and ...
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Dorin Moldovan
The bio-inspired research field has evolved greatly in the last few years due to the large number of novel proposed algorithms and their applications. The sources of inspiration for these novel bio-inspired algorithms are various, ranging from the behavi...
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Mohammad Dehghani, Zeinab Montazeri, Ali Dehghani, Om P. Malik, Ruben Morales-Menendez, Gaurav Dhiman, Nima Nouri, Ali Ehsanifar, Josep M. Guerrero and Ricardo A. Ramirez-Mendoza
One of the most powerful tools for solving optimization problems is optimization algorithms (inspired by nature) based on populations. These algorithms provide a solution to a problem by randomly searching in the search space. The design?s central idea i...
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Liangliang Cheng, Vahid Yaghoubi, Wim Van Paepegem and Mathias Kersemans
Mahalanobis distance (MD) is a well-known metric in multivariate analysis to separate groups or populations. In the context of the Mahalanobis-Taguchi system (MTS), a set of normal observations are used to obtain their MD values and construct a reference...
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Dorin Moldovan, Ionut Anghel, Tudor Cioara and Ioan Salomie
Daily living activities (DLAs) classification using data collected from wearable monitoring sensors is very challenging due to the imbalance characteristics of the monitored data. A major research challenge is to determine the best combination of feature...
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Gui-Rong You, Yeou-Ren Shiue, Wei-Chang Yeh, Xi-Li Chen and Chih-Ming Chen
In ensemble learning, accuracy and diversity are the main factors affecting its performance. In previous studies, diversity was regarded only as a regularization term, which does not sufficiently indicate that diversity should implicitly be treated as an...
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Jingwei Too, Abdul Rahim Abdullah and Norhashimah Mohd Saad
Feature selection is a task of choosing the best combination of potential features that best describes the target concept during a classification process. However, selecting such relevant features becomes a difficult matter when large number of features ...
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Hirotaka Takano, Ryota Goto, Thin Zar Soe, Nguyen Duc Tuyen and Hiroshi Asano
Operation scheduling is one of the most practical optimization problems to efficiently manage the electric power supply and demand in microgrids. Although various microgrid-related techniques have been developed, there has been no established solution to...
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Jinseob Kim, Hyuntai Kim, Gun-Yeal Lee, Juhwan Kim, Byoungho Lee and Yoonchan Jeong
We propose a novel design method for multi-focal metallic Fresnel zone plates (MFZPs), which exploits the phase selection rule by putting virtual point sources (VPSs) at the desired focal points distant to the MFZP plane. The phase distribution at the MF...
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