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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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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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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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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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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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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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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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Abdelkader Sahed, Hacen Kahoui, Mohammed Mekidiche
Pág. 11 - 21
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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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Dipankar Mandal
Grading of rice intents to discriminate broken and whole grain from a sample. Standard techniques for image-based rice grading using advanced statistical methods seldom take into account the domain knowledge associated with the data. In the context of a ...
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Abeer Issa Albashiti,Mohammad Malkawi,Mohammed A Khasawneh,Omayya Murad
Pág. 121 - 129
A novel optimization algorithm is proposed for detecting human emotions(responses) using artificial intelligence techniques such as exhaustive search, fuzzy logic and neural networks. Previous models for detecting human emotions have used fourteen measur...
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Yea-Kuang Chan and Jyh-Cherng Gu
Due to the very complex sets of component systems, interrelated thermodynamic processes and seasonal change in operating conditions, it is relatively difficult to find an accurate model for turbine cycle of nuclear power plants (NPPs). This paper deals w...
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Saghir Ahmad and Laiq Khan
The existing literature predominantly concentrates on the utilization of the gradient descent algorithm for control systems? design in power systems for stability enhancement. In this paper, various flavors of the Conjugate Gradient (CG) algorithm have b...
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Chan-Uk Yeom and Keun-Chang Kwak
We propose an adaptive neuro-fuzzy inference system (ANFIS) with an incremental tree structure based on a context-based fuzzy C-means (CFCM) clustering process. ANFIS is a combination of a neural network with the ability to learn, adapt and compute, and ...
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Elsayed Said Mohamed, Mohamed E. M. Jalhoum, Abdelaziz A. Belal, Ehab Hendawy, Yara F. A. Azab, Dmitry E. Kucher, Mohamed. S. Shokr, Radwa A. El Behairy and Hasnaa M. El Arwash
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Bassam Al-Naami, Hossam Fraihat, Hamza Abu Owida, Khalid Al-Hamad, Roberto De Fazio and Paolo Visconti
Left bundle branch block (LBBB) is a common disorder in the heart?s electrical conduction system that leads to the ventricles? uncoordinated contraction. The complete LBBB is usually associated with underlying heart failure and other cardiac diseases. Th...
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Zongyu Zhang, Qinghua Zeng, Yijun Zou, Hongfu Wang and Meng Tang
Variable flow ducted rockets (VFDRs) are promising candidates for propulsion systems in hypersonic vehicles because of their inherent advantages, such as high specific impulse, low weight, and high speed. The control of gas flow is essential for optimal ...
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