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Zhenzhen Di, Miao Chang, Peikun Guo, Yang Li and Yin Chang
Most worldwide industrial wastewater, including in China, is still directly discharged to aquatic environments without adequate treatment. Because of a lack of data and few methods, the relationships between pollutants discharged in wastewater and those ...
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Rola R. Hassan, Manar Abu Talib, Fikri Dweiri and Jorge Roman
Implementing the European Foundation for Quality Management (EFQM) business excellence model in organizations is time- and cost-consuming. The integration of artificial intelligence (AI) into the EFQM business excellence model is a promising approach to ...
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Nisa Boukichou-Abdelkader, Miguel Ángel Montero-Alonso and Alberto Muñoz-García
Recently, many methods and algorithms have been developed that can be quickly adapted to different situations within a population of interest, especially in the health sector. Success has been achieved by generating better models and higher-quality resul...
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Jacques Demongeot, Joël Gardes, Christophe Maldivi, Denis Boisset, Kenza Boufama and Imène Touzouti
Background: In present genomes, current relics of a circular RNA appear which could have played a central role as a primitive catalyst of the peptide genesis. Methods: Using a proximity measure to this circular RNA and the distance, a new unsupervised cl...
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María J. Verdú, Luisa M. Regueras, Juan P. de Castro and Elena Verdú
Learning Management Systems provide teachers with many functionalities to offer materials to students, interact with them and manage their courses. Recognizing teachers? instructing styles from their course designs would allow recommendations and best pr...
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Zhimeng Li, Wen Zhong, Weiwen Liao, Yiqun Cai, Jian Zhao and Guofeng Wang
Real-time tool condition monitoring (TCM) is becoming more and more important to meet the increased requirement of reducing downtime and ensuring the machining quality of manufacturing systems. However, it is difficult to satisfy both robustness and effe...
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Feng Peng and Kai Li
Most existing deep image clustering methods use only class-level representations for clustering. However, the class-level representation alone is not sufficient to describe the differences between images belonging to the same cluster. This may lead to hi...
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Weijie Zhang, Lanping Zhang, Xixi Zhang, Yu Wang, Pengfei Liu and Guan Gui
Network traffic classification (NTC) has attracted great attention in many applications such as secure communications, intrusion detection systems. The existing NTC methods based on supervised learning rely on sufficient labeled datasets in the training ...
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Deepesh Chugh, Himanshu Mittal, Amit Saxena, Ritu Chauhan, Eiad Yafi and Mukesh Prasad
Determining the optimal feature set is a challenging problem, especially in an unsupervised domain. To mitigate the same, this paper presents a new unsupervised feature selection method, termed as densest feature graph augmentation with disjoint feature ...
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Libero Nigro and Pasi Fränti
This paper proposes two algorithms for clustering data, which are variable-sized sets of elementary items. An example of such data occurs in the analysis of a medical diagnosis, where the goal is to detect human subjects who share common diseases to poss...
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