102   Artículos

 
en línea
Yongzhen Zhang, Yanbo Hui, Ying Zhou, Juanjuan Liu, Ju Gao, Xiaoliang Wang, Baiwei Wang, Mengqi Xie and Haonan Hou    
Moldy corn produces aflatoxin and gibberellin, which can have adverse effects on human health if consumed. Mold is a significant factor that affects the safe storage of corn. If not detected and controlled in a timely manner, it will result in substantia... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Shoffan Saifullah and Rafal Drezewski    
Accurate medical image segmentation is paramount for precise diagnosis and treatment in modern healthcare. This research presents a comprehensive study of the efficacy of particle swarm optimization (PSO) combined with histogram equalization (HE) preproc... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ku Muhammad Naim Ku Khalif, Woo Chaw Seng, Alexander Gegov, Ahmad Syafadhli Abu Bakar and Nur Adibah Shahrul    
Convolutional Neural Networks (CNNs) have garnered significant utilisation within automated image classification systems. CNNs possess the ability to leverage the spatial and temporal correlations inherent in a dataset. This study delves into the use of ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Bata Hena, Ziang Wei, Luc Perron, Clemente Ibarra Castanedo and Xavier Maldague    
Industrial radiography is a pivotal non-destructive testing (NDT) method that ensures quality and safety in a wide range of industrial sectors. Conventional human-based approaches, however, are prone to challenges in defect detection accuracy and efficie... ver más
Revista: Information    Formato: Electrónico

 
en línea
Eldred Lee, Kevin D. Larkin, Xin Yue, Zhehui Wang, Eric R. Fossum and Jifeng Liu    
This article experimentally investigates the inception of an innovative hard X-ray photon energy attenuation layer (PAL) to advance high-energy X-ray detection (20?50 keV). A bi-layer design with a thin film high-Z PAL on the top and Si image sensor on t... ver más
Revista: Instruments    Formato: Electrónico

 
en línea
Xueping Song, Shuyu Zhang, Jianming Yang and Jicun Zhang    
Many security detectors do not have the ability to output individual luggage package images and are not compatible with deep learning algorithms. In this paper, a luggage package extraction of X-ray images based on the ES-MBD (Edge Sensitive Multi-channe... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Frank Liebold, Franz Wagner, Josiane Giese, Szymon Grzesiak, Christoph de Sousa, Birgit Beckmann, Matthias Pahn, Steffen Marx, Manfred Curbach and Hans-Gerd Maas    
Carbon-reinforced concrete (CRC) is increasingly utilized in construction, due to its unique properties, such as corrosion resistance, high-tensile strength, and durability. Understanding its behavior under different loads is crucial to ensuring its safe... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Qingji Guan, Qinrun Chen and Yaping Huang    
Chest X-ray image classification suffers from the high inter-similarity in appearance that is vulnerable to noisy labels. The data-dependent and heteroscedastic characteristic label noise make chest X-ray image classification more challenging. To address... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Clara Freijo, Joaquin L. Herraiz, Fernando Arias-Valcayo, Paula Ibáñez, Gabriela Moreno, Amaia Villa-Abaunza and José Manuel Udías    
Chest X-rays (CXRs) represent the first tool globally employed to detect cardiopulmonary pathologies. These acquisitions are highly affected by scattered photons due to the large field of view required. Scatter in CXRs introduces background in the images... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Xin Li, Yang Li, Qiang Li, Xiaozhou Zhang, Xuechen Shi, Yudong Lu, Shaoxiong Zhang and Liting Zhang    
Preferential flow is widely developed in varieties of voids (such as macropores and fissures) in loess areas, affecting slope hydrology and stability and even leading to geological disasters. However, the model of seepage evolution with dynamic preferent... ver más
Revista: Water    Formato: Electrónico

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