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Qiangqiang Li, Zhiyong Chen and Wenku Shi
In this paper, a novel state estimation approach based on the variational Bayesian adaptive Kalman filter (VBAKF) and road classification is proposed for a suspension system with time-varying and unknown noise covariance. Using the VB approach, the time-...
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Xiaoqin Lian, Xue Huang, Chao Gao, Guochun Ma, Yelan Wu, Yonggang Gong, Wenyang Guan and Jin Li
In recent years, the advancement of deep learning technology has led to excellent performance in synthetic aperture radar (SAR) automatic target recognition (ATR) technology. However, due to the interference of speckle noise, the task of classifying SAR ...
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Junwu Wang, Feng Guo, Yinghui Song, Yipeng Liu, Xuan Hu and Chunbao Yuan
Prefabricated buildings that are more environmentally friendly have been vigorously promoted by the Chinese government because of the reduced waste and carbon emissions during the construction process. Most of the construction processes of prefabricated ...
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Mohammed Gamal Ragab, Said Jadid Abdulkadir, Norshakirah Aziz, Hitham Alhussian, Abubakar Bala and Alawi Alqushaibi
With the growth of deep learning in various classification problems, many researchers have used deep learning methods in environmental sound classification tasks. This paper introduces an end-to-end method for environmental sound classification based on ...
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Kristian Gundersen, Guttorm Alendal, Anna Oleynik and Nello Blaser
The world?s oceans are under stress from climate change, acidification and other human activities, and the UN has declared 2021?2030 as the decade for marine science. To monitor the marine waters, with the purpose of detecting discharges of tracers from ...
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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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Dr. Harsha S,Dr. Khalid Nazim S A,Dr. S Balaji,Vallabh V Rao
In the current world, all the devices are aiming to be or already are wireless and mobile. The trend is building smarter devices that offer the users all their required services with minimal human intervention. Due to this all manufacturers design their ...
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Chamara P. Liyanage and Koichi Yamada
Human activities pose a significant threat to the water quality of rivers when pollution exceeds the threshold limit. Urban activities in particular are highlighted as one of the major causes of contamination in surface water bodies in Asian countries. E...
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Luliang Tang, Xue Yang, Zihan Kan and Qingquan Li
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Luliang Tang, Xue Yang, Zihan Kan and Qingquan Li
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Egor I. Chetkin, Sergei L. Shishkin and Bogdan L. Kozyrskiy
Bayesian neural networks (BNNs) are effective tools for a variety of tasks that allow for the estimation of the uncertainty of the model. As BNNs use prior constraints on parameters, they are better regularized and less prone to overfitting, which is a s...
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David Opeoluwa Oyewola, Emmanuel Gbenga Dada, Temidayo Oluwatosin Omotehinwa, Onyeka Emebo and Olugbenga Oluseun Oluwagbemi
From the development and sale of a product through its delivery to the end customer, the supply chain encompasses a network of suppliers, transporters, warehouses, distribution centers, shipping lines, and logistics service providers all working together...
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Kwanghyun Kim, Sungjun Hong, Baehoon Choi and Euntai Kim
For an autonomous ship to navigate safely and avoid collisions with other ships, reliably detecting and classifying nearby ships under various maritime meteorological environments is essential. In this paper, a novel probabilistic ship detection and clas...
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Bin Meng and Na Lu
Controlled flight into terrain (CFIT) is considered a typical accident category of ?low-probability-high consequence?. Human factors play an important role in CFIT accidents in such a complex and high-risk system. This study aims to explore the causal re...
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Atallah AL-Shatnawi,Faisal Al-Saqqar,Safa?a Alhusban
Pág. pp. 20 - 34
In this paper, we introduce a multi-stage offline holistic handwritten Arabic text recognition model using the Local Binary Pattern (LBP) technique and two machine-learning approaches; Support Vector Machines (SVM) and Artificial Neural Network (ANN). In...
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Yoshiaki Nomura, Ryoko Otsuka, Wit Yee Wint, Ayako Okada, Ryo Hasegawa and Nobuhiro Hanada
In developing countries, the prevalence of dental caries in children remains high, which means that implementing a simple and convenient classification is critical. The classification needs to be evidence-based and needs to reflect tooth-level informatio...
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Ale? Procházka, Jirí Kuchynka, Oldrich Vy?ata, Pavel Cejnar, Martin Vali? and Vladimír Marík
Multimodal signal analysis based on sophisticated sensors, efficient communication systems and fast parallel processing methods has a rapidly increasing range of multidisciplinary applications. The present paper is devoted to pattern recognition, machine...
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Dong-Woo Lee,Syng-Yup Ohn,Jong-Whoa Na,Chan Heo
This paper proposes a new technique to estimate age with a support vector machine (SVM) based on the wrinkle densities of face images. Wrinkle density is defined as the ratio of an area of wrinkles on a section of face skin. In the new method, faces are ...
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Guang Wen, Alain Protat and Hui Xiao
A prototype-based method is developed to discriminate different types of clutter (ground clutter, sea clutter, and insects) from weather echoes using polarimetric measurements and their textures. This method employs a clustering algorithm to generate dat...
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Mohammad H. Alshayeji and Jassim Al-Buloushi
Improved disease prediction accuracy and reliability are the main concerns in the development of models for the medical field. This study examined methods for increasing classification accuracy and proposed a precise and reliable framework for categorizi...
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