34   Artículos

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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
David Opeoluwa Oyewola, Emmanuel Gbenga Dada, Temidayo Oluwatosin Omotehinwa, Onyeka Emebo and Olugbenga Oluseun Oluwagbemi    
From the development and sale of a product through its delivery to the end customer, the supply chain encompasses a network of suppliers, transporters, warehouses, distribution centers, shipping lines, and logistics service providers all working together... ver más
Revista: Applied Sciences    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
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
Wenbo He, Xiaoqiang Zhang, Zhenyu Feng, Qiqi Leng, Bufeng Xu and Xinmin Li    
Dynamic load identification plays an important role in the field of fault diagnosis and structural modification design for aircraft. In conventional dynamic load identification approaches, accurate structural modeling is usually needed, which is difficul... ver más
Revista: Aerospace    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
Ibsa K. Jalata, Thanh-Dat Truong, Jessica L. Allen, Han-Seok Seo and Khoa Luu    
Using optical motion capture and wearable sensors is a common way to analyze impaired movement in individuals with neurological and musculoskeletal disorders. However, using optical motion sensors and wearable sensors is expensive and often requires high... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Lin Lin, Xuri Chen, Ying Shen and Lin Zhang    
The proposed automatic depression detection method aims at: (1) supporting clinical diagnosis with objective and quantitative measurements and (2) providing a quick, effective, and economic self depressive assessment.
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Zongchen Jiang, Yi Ma and Junfang Yang    
In recent years, marine oil spill accidents have occurred frequently, seriously endangering marine ecological security. It is highly important to protect the marine ecological environment by carrying out research on the estimation of sea oil spills based... ver más
Revista: Journal of Marine Science and Engineering    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
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
Min-Jee Kim, Jae-Eun Lee, Insuck Back, Kyoung Jae Lim and Changyeun Mo    
Excessive total nitrogen (TN) content in topsoil is a major cause of eutrophication when nitrogen flows into water systems from soil losses. Therefore, TN content prediction is essential for establishing topsoil management systems and protecting aquatic ... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Fangping Xu, Jun Chen and Jianyong Zhu    
Insufficient color feature extraction can lead to poor prediction performance in rare earth element composition estimation. To address this issue, we propose a one-dimensional convolutional method for predicting rare earth element composition. First, ima... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yang Hu, Liangliang Gong, Xinyang Li, Hui Li, Ruoxin Zhang and Rentao Gu    
When applying 5G network slicing technology, the operator?s network resources in the form of mutually isolated logical network slices provide specific service requirements and quality of service guarantees for smart grid communication services. In the fa... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Bingxin Liu, Ying Li, Guannan Li and Anling Liu    
Spectral characteristics play an important role in the classification of oil film, but the presence of too many bands can lead to information redundancy and reduced classification accuracy. In this study, a classification model that combines spectral ind... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Qianjing Li, Jia Tian and Qingjiu Tian    
The combination of multi-temporal images and deep learning is an efficient way to obtain accurate crop distributions and so has drawn increasing attention. However, few studies have compared deep learning models with different architectures, so it remain... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Lukas Wiku Kuswidiyanto, Dong Eok Kim, Teng Fu, Kyoung Su Kim and Xiongzhe Han    
The cultivation of kimchi cabbage in South Korea has always faced significant challenges due to the looming presence of Alternaria leaf spot (ALS), which is a fungal disease mainly caused by Alternaria alternata. The emergence of black spots resulting fr... ver más
Revista: Agriculture    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

 
en línea
Min Seop Lee, Yun Kyu Lee, Dong Sung Pae, Myo Taeg Lim, Dong Won Kim and Tae Koo Kang    
Physiological signals contain considerable information regarding emotions. This paper investigated the ability of photoplethysmogram (PPG) signals to recognize emotion, adopting a two-dimensional emotion model based on valence and arousal to represent hu... ver más
Revista: Applied Sciences    Formato: Electrónico

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