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Tomasz Gajewski and Pawel Skiba
The main goal of this work is to combine the usage of the numerical homogenization technique for determining the effective properties of representative volume elements with artificial neural networks. The effective properties are defined according to the...
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Yoo-Chul Kim, Kwang-Soo Kim, Seongmo Yeon, Young-Yeon Lee, Gun-Do Kim and Myoungsoo Kim
This study proposes machine learning-based prediction models to estimate hull form performance. The developed models can predict the residuary resistance coefficient (CR" role="presentation">????CR
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Artemiy Belousov, Ivan Kisel, Robin Lakos and Akhil Mithran
Algorithms optimized for high-performance computing, which ensure both speed and accuracy, are crucial for real-time data analysis in heavy-ion physics experiments. The application of neural networks and other machine learning methodologies, which are fa...
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Belle Fille Murorunkwere, Origene Tuyishimire, Dominique Haughton and Joseph Nzabanita
Detecting tax fraud is a top objective for practically all tax agencies in order to maximize revenues and maintain a high level of compliance. Data mining, machine learning, and other approaches such as traditional random auditing have been used in many ...
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JaeHyung Park, JongHyun Lee, SiJin Kim and InSoo Lee
Authors are encouraged to provide a concise description of the specific application or a potential application of the work. This section is not mandatory.
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Bright Addae and Natascha Oppelt
A rapid increase in the world?s population over the last century has triggered the transformation of the earth surface, especially in urban areas, where more than half of the global population live. Ghana is no exception and a high population growth rate...
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A rapid increase in the world’s population over the last century has triggered the transformation of the earth surface, especially in urban areas, where more than half of the global population live. Ghana is no exception and a high population growt...
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Dong Sui, Hanping Chen and Tingting Zhou
With the escalating complexity of surface operations at large airports, the conflict risk for aircraft taxiing has correspondingly increased. Usually, the Air Traffic Controllers (ATCOs) generate route, speed and holding instructions to resolve conflicts...
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Benjamin Plaster and Gautam Kumar
Modeling brain dynamics to better understand and control complex behaviors underlying various cognitive brain functions have been of interest to engineers, mathematicians and physicists over the last several decades. With the motivation of developing com...
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May Alsaidi, Nadim Obeid, Nailah Al-Madi, Hazem Hiary and Ibrahim Aljarah
Autism spectrum disorder (ASD) is a developmental disorder that encompasses difficulties in communication (both verbal and non-verbal), social skills, and repetitive behaviors. The diagnosis of autism spectrum disorder typically involves specialized proc...
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Artemiy Belousov, Ivan Kisel and Robin Lakos
Fast and efficient algorithms optimized for high performance computers are crucial for the real-time analysis of data in heavy-ion physics experiments. Furthermore, the application of neural networks and other machine learning techniques has become more ...
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Joseph Isabona, Agbotiname Lucky Imoize, Stephen Ojo, Olukayode Karunwi, Yongsung Kim, Cheng-Chi Lee and Chun-Ta Li
Modern cellular communication networks are already being perturbed by large and steadily increasing mobile subscribers in high demand for better service quality. To constantly and reliably deploy and optimally manage such mobile cellular networks, the ra...
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Ehsan Taheri, Saeid Esgandarzadeh Fard, Yousef Zandi and Bijan Samali
This study evaluates an innovative reinforcement method for cold-formed steel (CFS) upright sections through finite element assessment as well as prediction of the normalized ultimate load and deflection of the profiles by artificial intelligence (AI) an...
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Emily Evenden and Robert Gilmore Pontius Jr
The profession debates how to encode a categorical variable for input to machine learning algorithms, such as neural networks. A conventional approach is to convert a categorical variable into a collection of binary variables, which causes a burdensome n...
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Andi Muhammad Yasser Hakim, Masayuki Matsuoka, Sumbangan Baja, Dorothea Agnes Rampisela and Samsu Arif
The spatial plan program for Makassar City and the surrounding area called Mamminasata (Makassar, Maros, Sungguminasa, and Takalar) was created by the Indonesian Government. The program regulates the proportion of land cover, but predictions about land c...
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Kosal Chim, Jon Tunnicliffe, Asaad Shamseldin and Tetsuji Ota
Siem Reap River has played a crucial role in maintaining the Angkor temple complex and livelihood of the people in the basin since the 12th century. Land use in this watershed has changed considerably over the last few decades, which is thought to have h...
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P.D. Basalin,?.?. Timofeev
Pág. 49 - 55
A modification of the hybrid intellectual learning environment based on the concept of a knowledge based system of the production type, (analytical component) and neural network technologies for learning scenario planning (a synthetic component) is propo...
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Nicolas Baghdadi, Mohammad El Hajj, Mohammad Choker, Mehrez Zribi, Hassan Bazzi, Emmanuelle Vaudour, Jean-Marc Gilliot and Dav M. Ebengo
The purpose of this study is to analyze the potential of Sentinel-1 C-band SAR data in VV polarization for estimating the surface roughness (Hrms) over bare agricultural soils. An inversion technique based on Multi-Layer Perceptron neural networks is use...
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Nicolas Baghdadi, Mohammad El Hajj, Mohammad Choker, Mehrez Zribi, Hassan Bazzi, Emmanuelle Vaudour, Jean-Marc Gilliot and Dav M. Ebengo
The purpose of this study is to analyze the potential of Sentinel-1 C-band SAR data in VV polarization for estimating the surface roughness (Hrms) over bare agricultural soils. An inversion technique based on Multi-Layer Perceptron neural networks is use...
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Junhao Wu and Zhaocai Wang
Clean water is an indispensable essential resource on which humans and other living beings depend. Therefore, the establishment of a water quality prediction model to predict future water quality conditions has a significant social and economic value. In...
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