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Filippo Giorcelli, Sergej Antonello Sirigu, Giuseppe Giorgi, Nicolás Faedo, Mauro Bonfanti, Jacopo Ramello, Ermanno Giorcelli and Giuliana Mattiazzo
Among the challenges generated by the global climate crisis, a significant concern is the constant increase in energy demand. This leads to the need to ensure that any novel energy systems are not only renewable but also reliable in their performance. A ...
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Myung Hwan Na, Wanhyun Cho, Sora Kang and Inseop Na
Measuring weight during cattle growth is essential for determining their status and adjusting the feed amount. Cattle must be weighed on a scale, which is laborious and stressful and could hinder growth. Therefore, automatically predicting cattle weight ...
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Zi-Lu Ouyang, Zao-Jian Zou and Lu Zou
This paper aims to study the nonparametric modeling and control of ship steering motion. Firstly, the black box response model is derived based on the Nomoto model. Then, the establishment of a nonparametric response model and prediction of ship steering...
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Riyadh S. Almukhtar, Ali Amer Yahya, Omar S. Mahdy, Hasan Shakir Majdi, Gaidaa S. Mahdi, Asawer A. Alwasiti, Zainab Y. Shnain, Majid Mohammadi, Adnan A. AbdulRazak, Peter Philib, Jamal M. Ali, Haydar A. S. Aljaafari and Sajda S. Alsaedi
Due to the significant increase in heavy feedstocks being transported to refineries and the hydrocracking process, the significance of adopting an ebullated bed reactor has been reemphasized in recent years. The predictive modelling of gas hold-up in an ...
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Sen Wang, Jintai Gong, Haoyu Gao, Wenjie Liu and Zhongkai Feng
In the hydrology field, hydrological forecasting is regarded as one of the most challenging engineering tasks, as runoff has significant spatial?temporal variability under the influences of multiple physical factors from both climate events and human act...
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Sabrina Mechati, Meriem Zamouche, Hichem Tahraoui, Oumaima Filali, Safa Mazouz, Iheb Nour Elhak Bouledjemer, Selma Toumi, Zakaria Triki, Abdeltif Amrane, Mohammed Kebir, Sonia Lefnaoui and Jie Zhang
This study conducts a comprehensive investigation to optimize the degradation of crystal violet (CV) dye using the Fenton process. The main objective is to improve the efficiency of the Fenton process by optimizing various physicochemical factors such as...
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Run Zhou, Jingyan Jiang, Jianhua Qin, Ning Du, Haoran Shi and Ying Wang
The corrugated compensators are important components in the piping system, absorbing mechanical deformation flexibly. To reduce the risk of the piping system with corrugated compensators and improve the safety and stability of industrial equipment, condi...
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Mohamed Achraf El youbi El idrissi, Loubna Laaouina, Adil Jeghal, Hamid Tairi and Moncef Zaki
Additive manufacturing (AM) technologies are growing more and more in the manufacturing industry; the increase in world energy consumption encourages the quantification and optimization of energy use in additive manufacturing processes. Orientation of th...
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Marius Marinescu, Alberto Olivares, Ernesto Staffetti and Junzi Sun
This work addresses the problem of vertical wind profile online estimation at a given location. Specifically, the north and east components of the wind are continuously estimated as functions of time and altitude at two waypoints used for landing on the ...
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Yasser T. Matbouli and Suliman M. Alghamdi
A holistic occupational and economy-wide framework for salary prediction is developed and tested using statistical machine learning (ML). Predictive models are developed based on occupational features and organizational characteristics. Five different su...
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Kelin Lu, Bingyu Jin and Ning Zhang
The radome refraction problem gives rise to guidance performance deterioration for homing missiles. Aiming to eliminate the effect of radome refraction on the radar seeker, a novel method is proposed for correcting the radome-induced measurement error by...
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Junwei Ma, Lijuan Wang and Pengfei Chen
Gaussian process regression (GPR) can effectively solve the problem of high-dimensional modeling with a small sample size. However, there is a lack of studies comparing GPR with other methods for leaf area index (LAI) inversion using hyperspectral data. ...
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Ka Kin Lam and Bo Wang
A rapid decline in mortality and fertility has become major issues in many developed countries over the past few decades. An accurate model for forecasting demographic movements is important for decision making in social welfare policies and resource bud...
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Edina Chandiwana, Caston Sigauke and Alphonce Bere
Probabilistic solar power forecasting has been critical in Southern Africa because of major shortages of power due to climatic changes and other factors over the past decade. This paper discusses Gaussian process regression (GPR) coupled with core vector...
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Hongji Cao, Yunjia Wang, Jingxue Bi, Meng Sun, Hongxia Qi and Shenglei Xu
Since many Wi-Fi routers can currently transmit two-band signals, we aimed to study dual-band Wi-Fi to achieve better positioning results. Thus, this paper proposes a fingerprint positioning method for dual-band Wi-Fi based on Gaussian process regression...
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Sangki Park and Kichul Jung
Seismic activities are serious disasters that induce natural hazards resulting in an incalculable amount of damage to properties and millions of deaths. Typically, seismic risk assessment can be performed by means of structural damage information compute...
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Cosmin Darab, Turcu Antoniu, Horia Gheorghe Beleiu, Sorin Pavel, Iulian Birou, Dan Doru Micu, Stefan Ungureanu and Stefan Dragos Cirstea
Short-term electricity load forecasting has attracted considerable attention as a result of the crucial role that it plays in power systems and electricity markets. This paper presents a novel hybrid forecasting method that combines an autoregressive mod...
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Ivan De Boi, Bart Ribbens, Pieter Jorissen and Rudi Penne
Bayesian inference using Gaussian processes on large datasets have been studied extensively over the past few years. However, little attention has been given on how to apply these on a high resolution input space. By approximating the set of test points ...
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Katalin Blix, Károly Pálffy, Viktor R. Tóth and Torbjørn Eltoft
The Ocean and Land Color Instrument (OLCI) onboard Sentinel 3A satellite was launched in February 2016. Level 2 (L2) products have been available for the public since July 2017. OLCI provides the possibility to monitor aquatic environments on 300 m spati...
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Zahra Alizadeh, Jafar Yazdi, Joong Hoon Kim and Abobakr Khalil Al-Shamiri
Monthly flow predictions provide an essential basis for efficient decision-making regarding water resource allocation. In this paper, the performance of different popular data-driven models for monthly flow prediction is assessed to detect the appropriat...
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