485   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
Muge Pinar Komu, Hakan Ahmet Nefeslioglu and Candan Gokceoglu    
Uncertainties related to runout distances in shallow landslide analyses may not only affect lives but may also result in economic losses. Owing to the increase in shallow landslides, which are especially triggered by heavy rainfall, runout distances have... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Gilbert Hinge, Mohamed A. Hamouda and Mohamed M. Mohamed    
In recent years, there has been a growing interest in flood susceptibility modeling. In this study, we conducted a bibliometric analysis followed by a meta-data analysis to capture the nature and evolution of literature, intellectual structure networks, ... ver más
Revista: Water    Formato: Electrónico

 
en línea
Nenad Marku? and Mirko Su?njevic    
Recently, there has been renewed interest in signed distance bound representations due to their unique properties for 3D shape modelling. This is especially the case for deep learning-based bounds. However, it is beneficial to work with polygons in most ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Jose Luis Vieira Sobrinho, Flavio Henrique Teles Vieira and Alisson Assis Cardoso    
The high dimensionality of real-life datasets is one of the biggest challenges in the machine learning field. Due to the increased need for computational resources, the higher the dimension of the input data is, the more difficult the learning task will ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Can Li, Hua Sun, Changhong Wang, Sheng Chen, Xi Liu, Yi Zhang, Na Ren and Deyu Tong    
In order to safeguard image copyrights, zero-watermarking technology extracts robust features and generates watermarks without altering the original image. Traditional zero-watermarking methods rely on handcrafted feature descriptors to enhance their per... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Azin Yazdi, Amir Karimi and Stylianos Mystakidis    
This study applies bibliometric and network analysis methods to map the literature-based landscape of gamification in online distance learning. Two thousand four hundred and nineteen publications between 2000 and 2023 from the Scopus database were analyz... ver más
Revista: Information    Formato: Electrónico

 
en línea
Siyao Lu, Rui Xu, Zhaoyu Li, Bang Wang and Zhijun Zhao    
The International Lunar Research Station, to be established around 2030, will equip lunar rovers with robotic arms as constructors. Construction requires lunar soil and lunar rovers, for which rovers must go toward different waypoints without encounterin... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Hui Liu, Kun Li, Luyao Ma and Zhijun Meng    
Headland boundary identification and ranging are the key supporting technologies for the automatic driving of intelligent agricultural machinery, and they are also the basis for controlling operational behaviors such as autonomous turning and machine lif... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Hailiang Gong, Xi Wang and Weidong Zhuang    
This study focuses on real-time detection of maize crop rows using deep learning technology to meet the needs of autonomous navigation for weed removal during the maize seedling stage. Crop row recognition is affected by natural factors such as soil expo... ver más
Revista: Agriculture    Formato: Electrónico

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