390   Artículos

 
en línea
Bahareh Kalantar, Husam A. H. Al-Najjar, Biswajeet Pradhan, Vahideh Saeidi, Alfian Abdul Halin, Naonori Ueda and Seyed Amir Naghibi    
Assessment of the most appropriate groundwater conditioning factors (GCFs) is essential when performing analyses for groundwater potential mapping. For this reason, in this work, we look at three statistical factor analysis methods?Variance Inflation Fac... ver más
Revista: Water    Formato: Electrónico

 
en línea
Juan Murillo-Morera, Carlos Castro-Herrera, Javier Arroyo, Ruben Fuentes-Fernandez     Pág. 114 - 137
Today, it is common for software projects to collect measurement data through development processes. With these data, defect prediction software can try to estimate the defect proneness of a software module, with the objective of assisting and guiding so... ver más
Revista: Inteligencia Artificial    Formato: Electrónico

 
en línea
Dominic Lightbody, Duc-Minh Ngo, Andriy Temko, Colin C. Murphy and Emanuel Popovici    
The growth of the Internet of Things (IoT) has led to a significant rise in cyber attacks and an expanded attack surface for the average consumer. In order to protect consumers and infrastructure, research into detecting malicious IoT activity must be of... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Alexander Lange, Ronghua Xu, Max Kaeding, Steffen Marx and Joern Ostermann    
Regular inspections of important civil infrastructures are mandatory to ensure structural safety and reliability. Until today, these inspections are primarily conducted manually, which has several deficiencies. In context of prestressed concrete structur... ver más
Revista: Acoustics    Formato: Electrónico

 
en línea
Feng Zhou, Shijing Hu, Xin Du, Xiaoli Wan and Jie Wu    
In the current field of disease risk prediction research, there are many methods of using servers for centralized computing to train and infer prediction models. However, this centralized computing method increases storage space, the load on network band... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Changchang Li, Botao Xu, Zhiwei Chen, Xiaoou Huang, Jing (Selena) He and Xia Xie    
University students, as a special group, face multiple psychological pressures and challenges, making them susceptible to social anxiety disorder. However, there are currently no articles using machine learning algorithms to identify predictors of social... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Khaled Arbateni and Amir Benzaoui    
Electrocardiography (ECG) is a simple and safe tool for detecting heart conditions. Despite the diaspora of existing heartbeat classifiers, improvements such as real-time heartbeat identification and patient-independent classification persist. Reservoir ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Nirmal Acharya, Padmaja Kar, Mustafa Ally and Jeffrey Soar    
Significant clinical overlap exists between mental health and substance use disorders, especially among women. The purpose of this research is to leverage an AutoML (Automated Machine Learning) interface to predict and distinguish co-occurring mental hea... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Karma Tempa, Masengo Ilunga, Abhishek Agarwal and Tashi    
Gelephu, located in the Himalayan region, has undergone significant development activities due to its suitable topography and geographic location. This has led to rapid urbanization in recent years. Assessing land use land cover (LULC) dynamics and Norma... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xiaonan Si, Lei Wang, Wenchang Xu, Biao Wang and Wenbo Cheng    
Gout is one of the most painful diseases in the world. Accurate classification of gout is crucial for diagnosis and treatment which can potentially save lives. However, the current methods for classifying gout periods have demonstrated poor performance a... ver más
Revista: Algorithms    Formato: Electrónico

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