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Polina C. Tsalgatidou, Anastasia Papageorgiou, Anastasia Boutsika, Michael Chatzidimopoulos, Costas Delis, Dimitrios I. Tsitsigiannis, Epaminondas Paplomatas and Antonios Zambounis
Brown rot disease caused by Monilinia fructicola is one of the most important peach fruit threats in the world. The use of biological control agents (BCAs), instead of synthetic fungicides, to successfully inhibit postharvest disease development is a cha...
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Ruonan Gao, Fengxiang Jin, Min Ji and Yanan Zuo
Wheat stripe rust poses a serious threat to the quality and yield of wheat crops. Typically, the occurrence data of wheat stripe rust is characterized by small sample sizes, and the current research on severity identification lacks high-precision methods...
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Efrem Yohannes Obsie, Hongchun Qu, Yong-Jiang Zhang, Seanna Annis and Francis Drummond
Early detection and accurately rating the level of plant diseases plays an important role in protecting crop quality and yield. The traditional method of mummy berry disease (causal agent: Monilinia vaccinii-corymbosi) identification is mainly based on f...
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Yichao Gao, Hetong Wang, Man Li and Wen-Hao Su
Fusarium head blight (FHB) disease reduces wheat yield and quality. Breeding wheat varieties with resistance genes is an effective way to reduce the impact of this disease. This requires trained experts to assess the disease resistance of hundreds of whe...
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Lei Fu, Qizhi Tang, Peng Gao, Jingzhou Xin and Jianting Zhou
The shallow features extracted by the traditional artificial intelligence algorithm-based damage identification methods pose low sensitivity and ignore the timing characteristics of vibration signals. Thus, this study uses the high-dimensional feature ex...
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Yinsheng Chen, Tinghao Zhang, Wenjie Zhao, Zhongming Luo and Kun Sun
A rolling bearing is an important connecting part between rotating machines. It is susceptible to mechanical stress and wear, which affect the running state of bearings. In order to effectively identify the fault types and analyze the fault severity of r...
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Zhengchun Hua, Chen Chen, Ruiqi Zhang, Guangyuan Liu and Wanhui Wen
Previous studies have attempted to find autonomic differences of the cardiac system between the congestive heart failure (CHF) disease and healthy groups using a variety of algorithms of pattern recognition. By comparing previous literature, we have foun...
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Toru Seo, Yasuo Asakura
Pág. 238 - 245
Automated and connected vehicles (ACVs) have received a great deal of attention. Indeed, their full market penetration will be desirable in terms of traffic efficiency, as ACVs can efficiently drive by precisely and instantaneously communicating, recogni...
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Abdullahi Abubakar Mas?ud, Jorge Alfredo Ardila-Rey, Ricardo Albarracín, Firdaus Muhammad-Sukki and Nurul Aini Bani
This paper compared the capabilities of the artificial neural network (ANN) and the fuzzy logic (FL) approaches for recognizing and discriminating partial discharge (PD) fault classes. The training and testing parameters for the ANN and FL comprise stati...
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