72   Artículos

 
en línea
Heguang Sun, Lin Zhou, Meiyan Shu, Jie Zhang, Ziheng Feng, Haikuan Feng, Xiaoyu Song, Jibo Yue and Wei Guo    
Southern blight significantly impacts peanut yield, and its severity is exacerbated by high-temperature and high-humidity conditions. The mycelium attached to the plant?s interior quickly proliferates, contributing to the challenges of early detection an... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Wenhao Sun, Yidong Zou, Yunhe Wang, Boyi Xiao, Haichuan Zhang and Zhihuai Xiao    
In the practical production environment, the complexity and variability of hydroelectric units often result in a need for more fault data, leading to inadequate accuracy in fault identification for data-driven intelligent diagnostic models. To address th... ver más
Revista: Water    Formato: Electrónico

 
en línea
Mihael Gudlin, Miro Hegedic, Matija Golec and Davor Kolar    
In the quest for industrial efficiency, human performance within manufacturing systems remains pivotal. Traditional time study methods, reliant on direct observation and manual video analysis, are increasingly inadequate, given technological advancements... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yaseen Ahmed Mohammed Alsumaidaee, Chong Tak Yaw, Siaw Paw Koh, Sieh Kiong Tiong, Chai Phing Chen, Chung Hong Tan, Kharudin Ali and Yogendra A. L. Balasubramaniam    
Switchgear and control gear are susceptible to arc problems that arise from slowly developing defects such as partial discharge, arcing, and heating due to faulty connections. These issues can now be detected and monitored using modern technology. This s... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Edgar Acuna, Roxana Aparicio and Velcy Palomino    
In this paper we investigate the effect of two preprocessing techniques, data imputation and smoothing, in the prediction of blood glucose level in type 1 diabetes patients, using a novel deep learning model called Transformer. We train three models: XGB... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Yunhan Geng, Shaojuan Su, Tianxiang Zhang and Zhaoyu Zhu    
Centrifugal pumps are susceptible to various faults, particularly under challenging conditions such as high pressure. Swift and accurate fault diagnosis is crucial for enhancing the reliability and safety of mechanical equipment. However, monitoring data... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Jingyuan Yang, Huayu Duan, Linxiao Li, Edward Stewart, Junhui Huang and Roger Dixon    
Defective droppers pose a significant threat to the performance of the contact between the train pantograph and railway catenary. In this paper, the impact of damaged droppers on the performance of pantograph?catenary interaction behaviour is analysed, a... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
You Zeng, Tianlong Liang, Donglin Fan and Hongchang He    
Chlorophyll a (Chla) is a crucial pigment in phytoplankton, playing a vital role in determining phytoplankton biomass and water nutrient status. However, in optically complex water bodies, Chla concentration is no longer the primary factor influencing re... ver más
Revista: Water    Formato: Electrónico

 
en línea
Jishuai Wang, Yazhou Xie, Tong Guo and Zhenyu Du    
Most regional seismic damage assessment (RSDA) methods are based on the rigid-base assumption to ensure evaluating efficiency, while these practices introduce factual errors due to neglecting the soil?structure interaction (SSI). Predicting the influence... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Jin-A Lee and Keun-Chang Kwak    
Analyzing the condition and function of the heart is very important because cardiovascular diseases (CVDs) are responsible for high mortality rates worldwide and can lead to strokes and heart attacks; thus, early diagnosis and treatment are important. Ph... ver más
Revista: Applied Sciences    Formato: Electrónico

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