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Sachin Gowda, Vaishakh Kunjar, Aakash Gupta, Govindaswamy Kavitha, Bishnu Kant Shukla and Parveen Sihag
In the realm of urban geotechnical infrastructure development, accurate estimation of the California Bearing Ratio (CBR), a key indicator of the strength of unbound granular material and subgrade soil, is paramount for pavement design. Traditional labora...
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Gokhan Gungor and Mehdi Afshari
In this study, a sensorimotor controller is designed to characterize the required muscle force to enable a robotics system to perform a human-like circular movement. When the appropriate muscle internal forces are chosen, the arm end-point tracks the des...
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Miniyenkosi Ngcukayitobi, Lagouge Kwanda Tartibu and Flávio Bannwart
Waste heat recovery stands out as a promising technique for tackling both energy shortages and environmental pollution. Currently, this valuable resource, generated through processes like fuel combustion or chemical reactions, is often dissipated into th...
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Konstantinos C. Giotopoulos, Dimitrios Michalopoulos, Aristeidis Karras, Christos Karras and Spyros Sioutas
Human resource management has a significant influence on the performance of any public body. Employee classification and ranking are definitely time-consuming processes, which in many cases lead to controversial results. In addition, assessing employee e...
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Yik Kang Ang, Amin Talei, Izni Zahidi and Ali Rashidi
Neuro-fuzzy systems (NFS), as part of artificial intelligence (AI) techniques, have become popular in modeling and forecasting applications in many fields in the past few decades. NFS are powerful tools for mapping complex associations between inputs and...
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Shiu-Shin Lin, Jheng-Hua Song, Kai-Yang Zhu, Yi-Chuan Liu and Hsien-Cheng Chang
Typhoon intensity forecast is an important issue. The objective of this study is to construct a 5-day 12-hourly typhoon intensity forecast model based on the adaptive neuro-fuzzy inference systems (ANFIS) to improve the typhoon intensity forecast in the ...
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Mahdi Sedighkia, Anna Linhoss and Paul Mickle
This study develops and evaluates a simulation-optimization approach to mitigate the environmental impacts of freshwater pulses in brackish-water lakes whilst maximizing flood diversion benefits. Lake Pontchartrain, located downstream of the Mississippi ...
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Rana Muhammad Adnan Ikram, Abolfazl Jaafari, Sami Ghordoyee Milan, Ozgur Kisi, Salim Heddam and Mohammad Zounemat-Kermani
Precise estimation of pan evaporation is necessary to manage available water resources. In this study, the capability of three hybridized models for modeling monthly pan evaporation (Epan) at three stations in the Dongting lake basin, China, were investi...
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Mohammad Tabasi, Ali Asghar Alesheikh, Mohsen Kalantari, Elnaz Babaie and Abolfazl Mollalo
This study is dedicated to modeling the spatial variation in COVID-19 prevalence using the adaptive neuro-fuzzy inference system (ANFIS) when dealing with nonlinear relationships, especially useful for small areas or small sample size problems. We compil...
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Rasheed Gbenga Jimoh, Olayinka Olufunmilayo Olusanya, Joseph Bamidele Awotunde, Agbotiname Lucky Imoize and Cheng-Chi Lee
In the field of software development, the efficient prioritizing of software risks was essential and play significant roles. However, finding a viable solution to this issue is a difficult challenge. The software developers have to adhere strictly to ris...
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Joon-Shik Moon, Chan-Hong Kim and Young-Sang Kim
The advantage of the piezocone penetration test is a guarantee of continuous data, which are a source of reliable interpretation of the target soil layer. Much research has been carried out for several decades, and several classification charts have been...
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Grzegorz Bomba, Artur Ornat, Piotr Gierlak and Magdalena Muszynska
The results of the work may find potential application in the final quality control of parts on a production line.
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Yufeng Zhao, Junshi He, Xiaohui Yan and Jianwei Liu
In order to predict the dilution characteristics of vertical buoyant jets constrained by lateral obstructions, we propose a new method based on a commonly used machine learning algorithm: the adaptive neuro-fuzzy inference system (ANFIS). By using experi...
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Minghui Wang, Bi Zeng and Qiujie Wang
This paper studies a novel intelligent motion control algorithm for Autonomous Underwater Vehicles (AUV) and develops a virtual reality system for a new interactive experimental platform. The paper designs a robust neuro-fuzzy controller to tackle system...
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Rebecca Zahn and Christian Breitsamter
In the present work, a reduced-order modeling (ROM) framework based on a recurrent neuro-fuzzy model (NFM) that is serial connected with a multilayer perceptron (MLP) neural network is applied for the computation of transonic aileron buzz. The training d...
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Abdelkader Sahed, Hacen Kahoui, Mohammed Mekidiche
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Olha Salnikova,Olga Cherviakova,Oleg Sova,Ruslan Zhyvotovskyi,Serhii Petruk,Taras Hurskyi,Andrii Shyshatskyi,Andrey Nos,Yevhenii Neroznak,Ihor Proshchyn
Pág. 35 - 44
Nowadays, artificial intelligence has entered into all spheres of human activity. However, there are some problems in the analysis of objects, for example, there is a priori uncertainty about the state of objects and the analysis takes place in a difficu...
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Matija Hribersek, Lucijano Berus, Franci Pusavec and Simon Klancnik
Implementation of a machine learning procedure to model the temperature drop in the cryogenic cooling of Inconel 718. Machine learning is performed by an adaptive neuro-fuzzy inference system (ANFIS). Based on a representative set of cryogenic cooling ex...
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Àngela Nebot and Francisco Mugica
The energy consumption used for domestic purposes in Europe is, to a considerable extent, due to heating and cooling. This energy is produced mostly by burning fossil fuels, which has a high negative environmental impact. The characteristics of a buildin...
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Mariann Veresné Somosi, Krisztina Varga, György Kocziszky
Pág. 13 - 23
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