412   Artículos

 
en línea
Maxim Kolomeets, Olga Tushkanova, Vasily Desnitsky, Lidia Vitkova and Andrey Chechulin    
This paper aims to test the hypothesis that the quality of social media bot detection systems based on supervised machine learning may not be as accurate as researchers claim, given that bots have become increasingly sophisticated, making it difficult fo... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Lotte de Jong, Gert Jan Veldwisch, Lieke Anna Melsen and Rutgerd Boelens    
In the field of climate change adaptation, the future matters. River futures influence the way adaptation projects are implemented in rivers. In this paper, we challenge the ways in which dominant paradigms and expert claims monopolise the truth concerni... ver más
Revista: Water    Formato: Electrónico

 
en línea
Hui-Jun Kim, Jung-Soon Kim and Sung-Hee Kim    
The existing question-and-answer screening test has a limitation in that test accuracy varies due to a high learning effect and based on the inspector?s competency, which can have consequences for rapid-onset cognitive-related diseases. To solve this pro... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xiaoqun Wang, Xihui Chen and Zhouyi Gu    
Grasping the concerns of customers is paramount, serving as a foundation for both attracting and retaining a loyal customer base. While customer satisfaction has been extensively explored across diverse industries, there remains a dearth of insights into... ver más
Revista: Information    Formato: Electrónico

 
en línea
Liyuan Zhang, Xiaoying Song, Yaxiao Niu, Huihui Zhang, Aichen Wang, Yaohui Zhu, Xingye Zhu, Liping Chen and Qingzhen Zhu    
As prior information for precise nitrogen fertilization management, plant nitrogen content (PNC), which is obtained timely and accurately through a low-cost method, is of great significance for national grain security and sustainable social development. ... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Xiaotian Luo, Cong Yin, Yueqiang Sun, Weihua Bai, Wei Li and Hongqing Song    
Deep soil moisture data have wide applications in fields such as engineering construction and agricultural production. Therefore, achieving the real-time monitoring of deep soil moisture is of significant importance. Current soil monitoring methods face ... ver más
Revista: Water    Formato: Electrónico

 
en línea
Navid Khalili Dizaji and Mustafa Dogan    
Brain tumors are one of the deadliest types of cancer. Rapid and accurate identification of brain tumors, followed by appropriate surgical intervention or chemotherapy, increases the probability of survival. Accurate determination of brain tumors in MRI ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Xuanyuan Xie and Jieyu Zhao    
The diffusion model has made progress in the field of image synthesis, especially in the area of conditional image synthesis. However, this improvement is highly dependent on large annotated datasets. To tackle this challenge, we present the Guided Diffu... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Nyo Me Htun, Toshiaki Owari, Satoshi Tsuyuki and Takuya Hiroshima    
High-value timber species with economic and ecological importance are usually distributed at very low densities, such that accurate knowledge of the location of these trees within a forest is critical for forest management practices. Recent technological... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Christos Tzimopoulos, Kyriakos Papadopoulos, Nikiforos Samarinas, Basil Papadopoulos and Christos Evangelides    
In this work, a novel fuzzy FEM (Finite Elements Method) numerical solution describing the recession flow in unconfined aquifers is proposed. In general, recession flow and drainage problems can be described by the nonlinear Boussinesq equation, while th... ver más
Revista: Hydrology    Formato: Electrónico

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