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Roohollah Noori, Behzad Ghiasi, Sohrab Salehi, Mehdi Esmaeili Bidhendi, Amin Raeisi, Sadegh Partani, Rojin Meysami, Mehran Mahdian, Majid Hosseinzadeh and Soroush Abolfathi
Sediment load in fluvial systems is one of the critical factors shaping the river geomorphological and hydraulic characteristics. A detailed understanding of the total sediment load (TSL) is required for the protection of physical, environmental, and eco...
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Qingyong Zhang, Changhuan Song and Yiqing Yuan
Vehicle gearboxes are subject to strong noise interference during operation, and the noise in the signal affects the accuracy of fault identification. Signal denoising and fault diagnosis processes are often conducted independently, overlooking their syn...
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Ki-Beom Choo, Hyunjoon Cho, Jung-Hyeun Park, Jiafeng Huang, Dongwook Jung, Jihyeong Lee, Sang-Ki Jeong, Jongsu Yoon, Jinhun Choo and Hyeung-Sik Choi
This study focuses on faults in the thrusters of unmanned surface vehicles, which are fatal to the integrity of their missions. As for the fault conditions, the breakage of the thruster blade and the entanglement of floating objects were selected, and a ...
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Joan D. Gonzalez-Franco, Jorge E. Preciado-Velasco, Jose E. Lozano-Rizk, Raul Rivera-Rodriguez, Jorge Torres-Rodriguez and Miguel A. Alonso-Arevalo
Improving the quality of service (QoS) and meeting service level agreements (SLAs) are critical objectives in next-generation networks. This article presents a study on applying supervised learning (SL) algorithms in a 5G/B5G service dataset after being ...
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Min Liu, Hua Hu, Liqian Zhang, Yongan Zhang and Jia Li
Air quality level has a complex nonlinear relationship with air pollutant and meteorological conditions, including multiple factors, overlapping information, and difficulty solving equations. In order to identify significant factors, remove correlations,...
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Zhenwei Yang, Hang Lv, Xinyi Wang, Hengrui Yan and Zhaofeng Xu
In recent years, inrush water has hampered the regular mining of coal mines, and the proper identification of the source of inrush water is critical to the prevention and management of water hazards in mines. This paper extracts the standard water chemis...
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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...
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Rahul Sharma, Amar Singh
Pág. 105 - 117
In image processing, developing efficient, automated, and accurate techniques to classify images with varying intensity level, resolution, aspect ratio, orientation, contrast, sharpness, etc. is a challenging task. This study presents an integrated appro...
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Michael Li, Santoso Wibowo, Wei Li and Lily D. Li
Extreme learning machine (ELM) is a popular randomization-based learning algorithm that provides a fast solution for many regression and classification problems. In this article, we present a method based on ELM for solving the spectral data analysis pro...
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Chandra Sekhar Matli, - Nivedita
Pág. 83 - 98
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Saripudin S.,Ida Bagus Budiyanto
Pág. 76 - 103
This study aims to analyze the development of Vocational High School (SMK) based on regional potential in Cimahi City, Indonesia. This study is descriptive research. This study was conducted in Cimahi City, West Java Province, Indonesia. The population a...
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Steve Koshy Mathew and Yu Zhang
In this paper, the proposed method is validated using experimental studies based on sound signals for engine fault diagnosis, though ultimately the developed framework can be widely applicable to many other industrial fault diagnosis scenarios, e.g., in ...
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Dong-Min Son, Hyuk-Ju Kwon and Sung-Hak Lee
This study proposes a method of blending visible and near-infrared (NIR) images to enhance their edge details and local contrast based on the Laplacian pyramid and principal component analysis (PCA). In the proposed method, both the Laplacian pyramid and...
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Rosario Caltabiano, Paola Castrogiovanni, Ignazio Barbagallo, Silvia Ravalli, Marta Anna Szychlinska, Vincenzo Favilla, Luigi Schiavo, Rosa Imbesi, Giuseppe Musumeci and Michelino Di Rosa
Prostate cancer (PCa) is one of the most common cancers in men. The main risk factors associated with the disease include older age, family history of the disease, smoking, alcohol and race. Vitamin D is a pleiotropic hormone whose low levels are associa...
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NACEUR RAHMANI, NACEUR KHELIL
Pág. Page:129 - 141Abstrac
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Damar Dananjaya,Indah Werdiningsih,Rini Semiati
Pág. 13 - 22
Background: Data on early childhood disease collected in clinics has accumulated into big data. Those data can be used for classification of early childhood diseases to help medical staff in diagnosing diseases that attack early childhoods.Objective: Thi...
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Praveen Mishra,G.S Prajapati
In this paper, we propose a new tracking method that uses Gaussian combination Model (GCM) and PCA-GCM approach for traffic object tracking. The GCM approach consists of three different Gaussian distributions, the average, standard deviation and weight r...
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Justiawan ., Riyanto Sigit, Zainal Arief
Pág. 139 - 153
Matching the suitable color for tooth reconstruction is an important step that can make difficulties for the dentists due to the subjective factors of color selection. Accurate color matching system is mainly result based on images analyzing and p...
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Libin Yang, William Rea and Alethea Rea
We show that the last few components in the principal component analysis of the correlation matrix of a group of stocks may contain useful financial insights by identifying highly correlated pairs or larger groups of stocks. The results of this type of a...
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