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I. V. Zhukovyts?kyy,V. M. Pakhomov?
Pág. 114 - 123
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Mohamad Ali Ridho B K A, Chayut Ngamkhanong, Yubin Wu and Sakdirat Kaewunruen
The recycled aggregate is an alternative with great potential to replace the conventional concrete alongside with other benefits such as minimising the usage of natural resources in exploitation to produce new conventional concrete. Eventually, this will...
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Kemal Güven and Andaç Töre Samiloglu
Neural networks are one of the methods used in system identification problems. In this study, a NARX network with a serial-parallel structure was used to identify an unknown aerial delivery system with a ram-air parachute. The dataset was created using t...
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Azzad Bader SAEED
Pág. 395 - 411
In this paper, an artificial intelligent system has been designed, realized, and downloaded into FPGA (Field Programmable Gate Array), which is used to control five speed ratio steps ( 1,2,3,4,5) of an electrically controlled type of ...
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Hadi Rashidi, Mohsen Najarchi and Seyed Mohammad Mirhosseini Hezaveh
Scouring depends on several factors, including the water flow of artificial obstacles, sections, piers, and foundations, the disturbance of bed materials, and soil permeability. The other factors are the non-parallelism between piers and the water flow, ...
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Liliya A. Demidova and Artyom V. Gorchakov
The massive nature of modern university programming courses increases the burden on academic workers. The Digital Teaching Assistant (DTA) system addresses this issue by automating unique programming exercise generation and checking, and provides means f...
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Mohamed Badawy, Fahad K. Alqahtani and Mohamed Sherif
The ability to foresee hazards early plays a critical role in estimating the entire cost of a project. Although several studies have established models to predict the total cost of a project at a conceptual stage, there remains a research vacuum in measu...
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Morteza Farhadi, Yousef Abbaspour-Gilandeh, Asghar Mahmoudi and Joe Mari Maja
The existence of conversion industries to sort and grade hazelnuts with modern technology plays a vital role in export. Since most of the hazelnuts produced in Iran are exported to domestic and foreign markets without sorting and grading, it is necessary...
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Hossein Moayedi, Dieu Tien Bui, Mesut Gör, Biswajeet Pradhan and Abolfazl Jaafari
In this paper, a neuro particle-based optimization of the artificial neural network (ANN) is investigated for slope stability calculation. The results are also compared to another artificial intelligence technique of a conventional ANN and adaptive neuro...
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Jin Woo Moon, Min Hee Chung, Hayub Song and Se-Young Lee
The aim of this study was to develop an artificial neural network (ANN) prediction model for controlling building heating systems. This model was used to calculate the ascent time of indoor temperature from the setback period (when a building was not occ...
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Ramachandran Manickam
Pág. 203 - 208
The present study has used an ANN to predict shell molding performances ? permeability number and transverse strength- of sand moulds employed in hot metal casting. A back propagation ANN is used. This study utilized actual experimental data in which inp...
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Gulsum Alicioglu and Bo Sun
Deep learning (DL) models have achieved state-of-the-art performance in many domains. The interpretation of their working mechanisms and decision-making process is essential because of their complex structure and black-box nature, especially for sensitiv...
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Marta Wlodarczyk-Sielicka and Jacek Lubczonek
At the present time, spatial data are often acquired using varied remote sensing sensors and systems, which produce big data sets. One significant product from these data is a digital model of geographical surfaces, including the surface of the sea floor...
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Érica Signori Romagnoli, Lívia Ramazzoti Chanan Silva, Karina Gomes Angilelli, Bruna Aparecida Denobi Ferreira, Aline Regina Walkoff, Dionisio Borsato
Pág. 227 - 232
Samples of automotive ethanol, marketed in the northern and eastern regions of the state of Paraná, Brazil, underwent physical and chemical tests. Rates were assessed by Multilayer Perceptron (MLP) neural network for classification. For network training,...
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José Carlos Palomares-Salas, Agustín Agüera-Pérez, Juan José González de la Rosa, José María Sierra-Fernández and Antonio Moreno-Muñoz
This research presents a comparative analysis of wind speed forecasting methods applied to perform 1 h-ahead forecasting. The main significant development has been the introduction of low-quality measurements as exogenous information to improve these pre...
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Érica Signori Romagnoli, Lívia Ramazzoti Chanan Silva, Karina Gomes Angilelli, Bruna Aparecida Denobi Ferreira, Aline Regina Walkoff, Dionisio Borsato (Author)
Pág. 227 - 232
Samples of automotive ethanol, marketed in the northern and eastern regions of the state of Paraná, Brazil, underwent physical and chemical tests. Rates were assessed by Multilayer Perceptron (MLP) neural network for classification. For network training,...
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Lara Shboul, Kamil Fram, Saleh Sharaeh, Mohammad Alshraideh, Nancy Shaar and Njwan Alshraideh
Diagnosing gynecological diseases is a significant difficulty for the medical sector. Numerous patients visit gynecological clinics for pregnancies as well as for other illnesses, such as polycystic ovarian syndrome, ovarian cysts, endometritis, menopaus...
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Andualem Aklilu Tesfaye, Berhan Gessesse Awoke, Tesfaye Shiferaw Sida and Daniel E. Osgood
Field-scale prediction methods that use remote sensing are significant in many global projects; however, the existing methods have several limitations. In particular, the characteristics of smallholder systems pose a unique challenge in the development o...
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Manogaran Madhiarasan and Mohamed Louzazni
With an uninterrupted power supply to the consumer, it is obligatory to balance the electricity generated by the electricity load. The effective planning of economic dispatch, reserve requirements, and quality power provision for accurate consumer inform...
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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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