34   Artículos

 
en línea
Olga Kurasova, Arnoldas Bud?ys and Viktor Medvedev    
As artificial intelligence has evolved, deep learning models have become important in extracting and interpreting complex patterns from raw multidimensional data. These models produce multidimensional embeddings that, while containing a lot of informatio... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Barbara Cardone and Ferdinando Di Martino    
The bi-dimensional F1-Transform was applied in image analysis to improve the performances of the F-transform method; however, due to its high computational complexity, the multidimensional F1-transform cannot be used in data analysis problems, especially... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Panos Nikitas and Efthymia Nikita    
This paper assesses algorithms proposed for constructing confidence ellipses in multidimensional scaling (MDS) solutions and proposes a new approach to interpreting these confidence ellipses via hierarchical cluster analysis (HCA). It is shown that the m... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Ismail Shahin, Ali Bou Nassif, Rameena Thomas and Shibani Hamsa    
Modern developments in machine learning methodology have produced effective approaches to speech emotion recognition. The field of data mining is widely employed in numerous situations where it is possible to predict future outcomes by using the input se... ver más
Revista: Information    Formato: Electrónico

 
en línea
Cong Li, Xupeng Ren and Guohui Zhao    
Ground meteorological observation data (GMOD) are the core of research on earth-related disciplines and an important reference for societal production and life. Unfortunately, due to operational issues or equipment failures, missing values may occur in G... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Yufan Qian, Limei Tian, Baichen Zhai, Shufan Zhang and Rui Wu    
Missing observations in time series will distort the data characteristics, change the dataset expectations, high-order distances, and other statistics, and increase the difficulty of data analysis. Therefore, data imputation needs to be performed first. ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Chuan-Sheng Wu, Jian-Qiang Zhang, Ling-Ling Qi and De-Bing Zhuo    
Defects in pile foundations, such as neck defects, bulge imperfections, weak concretes, cracks, and broken piles, can cause a decrease in the bearing capacity and the structural stability of the foundation. Identification of the type of defect is vital i... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Qianqian Zhou, Nan Chen and Siwei Lin    
The UN 2030 Agenda sets poverty eradication as the primary goal of sustainable development. An accurate measurement of poverty is a critical input to the quality and efficiency of poverty alleviation in rural areas. However, poverty, as a geographical ph... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Ali Seman and Azizian Mohd Sapawi    
In the conventional k-means framework, seeding is the first step toward optimization before the objects are clustered. In random seeding, two main issues arise: the clustering results may be less than optimal and different clustering results may be obtai... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Jin Zhu, Dayu Cheng, Weiwei Zhang, Ci Song, Jie Chen and Tao Pei    
People spend more than 80% of their time in indoor spaces, such as shopping malls and office buildings. Indoor trajectories collected by indoor positioning devices, such as WiFi and Bluetooth devices, can reflect human movement behaviors in indoor spaces... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

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