22   Artículos

 
en línea
Zhiqing Guo, Xiaohui Chen, Ming Li, Yucheng Chi and Dongyuan Shi    
Peanut leaf spot is a worldwide disease whose prevalence poses a major threat to peanut yield and quality, and accurate prediction models are urgently needed for timely disease management. In this study, we proposed a novel peanut leaf spot prediction me... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Md. Jamal Uddin, Md. Martuza Ahamad, Prodip Kumar Sarker, Sakifa Aktar, Naif Alotaibi, Salem A. Alyami, Muhammad Ashad Kabir and Mohammad Ali Moni    
Autism Spectrum Disorder (ASD) is a neurological impairment condition that severely impairs cognitive, linguistic, object recognition, interpersonal, and communication skills. Its main cause is genetic, and early treatment and identification can reduce t... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Rahmeh Ibrahim, Rawan Ghnemat and Qasem Abu Al-Haija    
Convolutional Neural Networks (CNNs) have exhibited remarkable potential in effectively tackling the intricate task of classifying MRI images, specifically in Alzheimer?s disease detection and brain tumor identification. While CNNs optimize their paramet... ver más
Revista: AI    Formato: Electrónico

 
en línea
Mohan Kumar Gajendran, Ijaz Fazil Syed Ahmed Kabir, Sudhakar Vadivelu and E. Y. K. Ng    
As wind energy continues to be a crucial part of sustainable power generation, the need for precise and efficient modeling of wind turbines, especially under yawed conditions, becomes increasingly significant. Addressing this, the current study introduce... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Mostafa Hamdy Salem, Yujian Li, Zhaoying Liu and Ahmed M. AbdelTawab    
Deep learning has been used to improve intelligent transportation systems (ITS) by classifying ship targets in interior waterways. Researchers have created numerous classification methods, but they have low accuracy and misclassify other ship targets. As... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ying Sun, Lin Lv, Peng Lee and Yunkai Cai    
In-cylinder pressure is one of the most important references in the process of diesel engine performance optimization. In order to acquire effective in-cylinder pressure value, many physical tests are required. The cost of physical testing is high; vario... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Marvin Kastner, Nicole Nellen, Anne Schwientek and Carlos Jahn    
At container terminals, many cargo handling processes are interconnected and occur in parallel. Within short time windows, many operational decisions need to be made and should consider both time efficiency and equipment utilization. During operation, ma... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Yaru Li, Yulai Zhang and Yongping Cai    
The selection of the hyper-parameters plays a critical role in the task of prediction based on the recurrent neural networks (RNN). Traditionally, the hyper-parameters of the machine learning models are selected by simulations as well as human experience... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Wenjiang Jiao, Xingwei Hao and Chao Qin    
CNN is particularly effective in extracting spatial features. However, the single-layer classifier constructed by activation function in CNN is easily interfered by image noise, resulting in reduced classification accuracy. To solve the problem, the adva... ver más
Revista: Information    Formato: Electrónico

 
en línea
Tomás Madeira, Rui Melício, Duarte Valério and Luis Santos    
In the aviation sector, human factors are the primary cause of safety incidents. Intelligent prediction systems, which are capable of evaluating human state and managing risk, have been developed over the years to identify and prevent human factors. Howe... ver más
Revista: Aerospace    Formato: Electrónico

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