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Annmarie G. Raka, Ganesh R. Naik and Rifai Chai
Early detection of sudden cardiac arrest (SCA) is critical to prevent serious repercussion such as irreversible neurological damage and death. Currently, the most effective method involves analyzing electrocardiogram (ECG) features obtained during ventri...
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Pietros André Balbino dos Santos, Felipe Schwerz, Luiz Gonsaga de Carvalho, Victor Buono da Silva Baptista, Diego Bedin Marin, Gabriel Araújo e Silva Ferraz, Giuseppe Rossi, Leonardo Conti and Gianluca Bambi
Reference evapotranspiration (ET0) is one important agrometeorological parameter for hydrological studies and climate risk zoning. ET0 calculation by the FAO Penman?Monteith method requires several input data. However, the availability of climate data ha...
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Khrystyna Zub, Pavlo Zhezhnych and Christine Strauss
In this paper, we investigate the methods used to evaluate the admission chances of higher education institutions? (HEI) entrants as a crucial factor that directly influences the admission efficiency, quality of education results, and future students? li...
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Ines A. Cruz-Guerrero, Raquel Leon, Daniel U. Campos-Delgado, Samuel Ortega, Himar Fabelo and Gustavo M. Callico
This paper describes the application of linear unmixing to classify intraoperative hyperspectral images of in vivo brain tissue with a reduced computational cost compared to a machine learning approach without compromising precision.
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Kwanele Phinzi, Dávid Abriha, László Bertalan, Imre Holb and Szilárd Szabó
Gullies reduce both the quality and quantity of productive land, posing a serious threat to sustainable agriculture, hence, food security. Machine Learning (ML) algorithms are essential tools in the identification of gullies and can assist in strategic d...
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Yang Lu, Shigang Wang and Wenting Zhao
In this paper, a novel approach to facial expression recognition based on the discrete separable shearlet transform (DSST) and normalized mutual information feature selection is proposed. The approach can be divided into five steps. First, all test and t...
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Yang Lu, Shigang Wang and Wenting Zhao
In this paper, a novel approach to facial expression recognition based on the discrete separable shearlet transform (DSST) and normalized mutual information feature selection is proposed. The approach can be divided into five steps. First, all test and t...
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Miada A. Almasre and Hana Al-Nuaim
The objective of this research was to recognize the hand gestures of Arabic Sign Language (ArSL) words using two depth sensors. The researchers developed a model to examine 143 signs gestured by 10 users for 5 ArSL words (the dataset). The sensors captur...
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Ahmad Wali Satria Bahari Johan,Ardian Yusuf Wicaksono,Muhammad Dzulfikar Fauzi,Rizky Fenaldo Maulana,Kharisma Monika Dian Pertiwi
Pág. 289 - 298
Terdapat 4 kernel yang dapat digunakan dalam klasifikasi Support Vector Machine dalam membuat hyperplane. Keempat kernel tersebut adalah linear, polynomial, gaussian dan sigmoid. Setiap kernel dapat menghasilkan akurasi yang berbeda-beda. Hal ini dikaren...
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Ahmad Wali Satria Bahari Johan,Ardian Yusuf Wicaksono,Muhammad Dzulfikar Fauzi,Rizky Fenaldo Maulana,Kharisma Monika Dian Pertiwi
Pág. 289 - 298
Terdapat 4 kernel yang dapat digunakan dalam klasifikasi Support Vector Machine dalam membuat hyperplane. Keempat kernel tersebut adalah linear, polynomial, gaussian dan sigmoid. Setiap kernel dapat menghasilkan akurasi yang berbeda-beda. Hal ini dikaren...
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Alex Mohandas, Mominul Ahsan and Julfikar Haider
Football (also known as Soccer), boasts a staggering fan base of 3.5 billion individuals spread across 200 countries, making it the world?s most beloved sport. The widespread adoption of advanced technology in sports has become increasingly prominent, em...
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Diding Suhandy,Meinilwita Yulia
Pág. 115 - 121
UV-Vis spectroscopy has been used as a promising method for coffee quality evaluation including in authentication of several high-economic coffee types. In this paper, we have compared the abilities of linear discriminant analysis (LDA) and support vecto...
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Shamim Younas, Faisal Rehman, Tahir Maqsood, Saad Mustafa, Adnan Akhunzada and Abdullah Gani
Vehicle ad hoc networks (VANETs) are vital towards the success and comfort of self-driving as well as semi-automobile vehicles. Such vehicles rely heavily on data management and the exchange of Cooperative Awareness Messages (CAMs) for external communica...
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Radhakrishnan Angamuthu Chinnathambi, Anupam Mukherjee, Mitch Campion, Hossein Salehfar, Timothy M. Hansen, Jeremy Lin and Prakash Ranganathan
Forecasting hourly spot prices for real-time electricity markets is a key activity in economic and energy trading operations. This paper proposes a novel two-stage approach that uses a combination of Auto-Regressive Integrated Moving Average (ARIMA) with...
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Marcos Ruiz-Álvarez, Francisco Alonso-Sarria and Francisco Gomariz-Castillo
Several methods have been tried to estimate air temperature using satellite imagery. In this paper, the results of two machine learning algorithms, Support Vector Machines and Random Forest, are compared with Multiple Linear Regression and Ordinary krigi...
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Saad Sh. Sammen, Mohammad Ehteram, Zohreh Sheikh Khozani and Lariyah Mohd Sidek
Predicting reservoir water levels helps manage droughts and floods. Predicting reservoir water level is complex because it depends on factors such as climate parameters and human intervention. Therefore, predicting water level needs robust models. Our st...
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Pablo Salvador, Diego Gómez, Julia Sanz and José Luis Casanova
Crop growth modeling and yield forecasting are essential to improve food security policies worldwide. To estimate potato (Solanum tubersum L.) yield over Mexico at a municipal level, we used meteorological data provided by the ERA5 (ECMWF Re-Analysis) da...
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Firgan Feradov, Iosif Mporas and Todor Ganchev
There is a strong correlation between the like/dislike responses to audio?visual stimuli and the emotional arousal and valence reactions of a person. In the present work, our attention is focused on the automated detection of dislike responses based on E...
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Lingfeng Zhong, Rui Liu, Xiaodong Miao, Yufeng Chen, Songhong Li and Haocheng Ji
Compressors are important components in various power systems in the field of energy and power. In practical applications, compressors often operate under non-design conditions. Therefore, accurate calculation on performance under various operating condi...
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Xiaoxiao Zhang, Guodong Liu, Hantao Wang and Xiaodong Li
In this paper, we applied the support vector machine (SVM) to the spatial interpolation of the multi-year average annual precipitation in the Three Gorges Region basin. By combining it with the inverse distance weighting and ordinary kriging method, we c...
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