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Alireza Rezvanian, S. Mehdi Vahidipour and Ali Mohammad Saghiri
Artificial immune systems (AIS), as nature-inspired algorithms, have been developed to solve various types of problems, ranging from machine learning to optimization. This paper proposes a novel hybrid model of AIS that incorporates cellular automata (CA...
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Rocco A. Scollo, Antonio G. Spampinato, Georgia Fargetta, Vincenzo Cutello and Mario Pavone
Disease phenotypes are generally caused by the failure of gene modules which often have similar biological roles. Through the study of biological networks, it is possible to identify the intrinsic structure of molecular interactions in order to identify ...
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Xianyong Jing, Manyi Hou, Wei Li, Cui Chen, Zhishu Feng and Mingwei Wang
When Unmanned Aerial Vehicles (UAVs) are used in search and rescue operations, electro-optical (EO) devices are usually used as the detection equipment, and area coverage is used as the main search method. However, the sector scanning mode of EO puts for...
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Weihua Li, Yongxi Lyu, Sifan Dai, Huakun Chen, Jingping Shi and Yongfeng Li
With recent advances in airborne weapons, air combat tends to occur in the form of beyond-visual-range (BVR) combat and multi-aircraft cooperation. Target assignment is critical in multi-aircraft BVR air combat decision-making. Most previous research on ...
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Carlos Pinto, Rui Pinto and Gil Gonçalves
The autonomous and adaptable identification of anomalies in industrial contexts, particularly in the physical processes of Cyber-Physical Production Systems (CPPS), requires using critical technologies to identify failures correctly. Most of the existing...
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Raul Galvan-Correa, Mauricio Olguin-Carbajal, Juan Carlos Herrera-Lozada, Jacobo Sandoval-Gutierrez, José Félix Serrano-Talamantes, Rodrigo Cadena-Martinez and Carlos Aquino-Ruíz
This work can be used to reduce the emission of pollutants expelled by motor vehicles in specific areas of a city.
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Aris Lanaridis, Giorgos Siolas and Andreas Stafylopatis
Pattern classification is a central problem in machine learning, with a wide array of applications, and rule-based classifiers are one of the most prominent approaches. Among these classifiers, Incremental Rule Learning algorithms combine the advantages ...
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Tung-Hsu (Tony) Hou, Chi-Hung Su, Hung-Zhi Chang
Pág. 427 - 436
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