Applications of artificial neural networks in engine cooling system by Hasan, Md Munirul, Islam, M. S., S., A. Bakar, M. M., Rahman, Kabir, M. N.

“…Artificial neural network (ANN) is a powerful method for nonlinear regression, classification, object detection, and clustering and is widely used in thermal analysis of the cooling system. …”
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Personality predictive analysis based on artificial neural network by Zuriani, Mustaffa, Nur Alia Shahira, Mohd Zaidi, Ernawan, Ferda, Elhadi, Haithm, Hakim, Muhammad Malik

“…Therefore, this study presents a personality prediction model based on Artificial Neural Network (ANN). The prediction was realized on the Big Five personality model. …”
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Face recognition by artificial neural network using MATLAB by Mohamed, Abozar Atya, Bilal, Khalid Hamid, Elmutasima, Imadeldin Elsayed Mohamed Osman

“…However, human could easy to recognize an emotion while inconceivably for a computers. Artificial Neural Networks (ANN) provides an exceedingly smart solution in terms of recognition performance when deal might as well with the data. …”
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Fuzzy nonlinear regression using artificial neural networks by Purnima K. Pandit

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Modeling Broadband Microwave Structures by Artificial Neural Networks by V. Otevrel, Z. Lukes, Z. Raida

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How can artificial neural networks approximate the brain? by Feng Shao, Zheng Shen

“…The article reviews the history development of artificial neural networks (ANNs), then compares the differences between ANNs and brain networks in their constituent unit, network architecture, and dynamic principle. …”
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The Determination of the Developments of Beehives via Artificial Neural Networks by Raif Bayir, Ahmet Albayrak

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Artificial Neural Networks in Modeling of Dewaterability of Sewage Sludge by Mariusz Kowalczyk, Tomasz Kamizela

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Estimation of Solar Radiation using Artificial Neural Network by Slamet Suprayogi

“…The main objectives of this study were to investigate the potential of using Artificial Neural Network (ANN) to predict solar radiation related to temperature. …”
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Prediction of perioperative transfusions using an artificial neural network. by Steven Walczak, Vic Velanovich

“…This research examines the efficacy of using artificial neural networks (ANNs) to predict transfusions for all inpatient operations. …”
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Security breach prediction using Artificial Neural Networks by Jayaganesh Jagannathan, M.Y. Mohamed Parvees

“…These days, there are many sophisticated and swiftly moving cyberthreats. Artificial Neural Networks (ANN) are used to introduce machine learning models that boost security and add new levels of protection for data storage in the event of a breach. …”
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Prediction the Return Fluctuations with Artificial Neural Networks' Approach by Masoud Taherinia, Mohsen Rashidi Baghi

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Artificial neural networks using for solving of the tribological problems by Uvarov V.M., Bespalov S.A.

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Estimating thermal performance of thermosyphons by artificial neural networks by Pedro L.O. Machado, Thomas S. Pereira, Marcio G. Trindade, Felipe M. Biglia, Paulo H.D. Santos, Yara S. Tadano, Hugo Siqueira, Thiago Antonini Alves

“…To overcome this issue, artificial intelligence-based methods, such as Artificial Neural Networks (ANNs), could be used. In this sense, an experimental investigation of the thermal performance of thermosyphon under different filling ratios (20 to 100%), slopes (45 and 90°), and heat loads (5 to 45 W) was made. …”
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An adiabatic method to train binarized artificial neural networks by Yuansheng Zhao, Jiang Xiao

“…Abstract An artificial neural network consists of neurons and synapses. …”
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ADAPTATION OF ARTIFICIAL NEURAL NETWORKS FOR CUDA-TECHNOLOGY APPLICATION by O. S. Hilko, S. P. Kundas, V. I. Kovalenko

“…The paper deals with the application of CUDA-technology on software implementation of direct and reverse passes of artificial neural network (ANN) based on back-propagation algorithm. …”
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A Quantum Implementation Model for Artificial Neural Networks by Ammar Daskin

“…Combining the quantum amplitude amplification with the phase estimation algorithm, a quantum implementation model for artificial neural networks using the Widrow–Hoff learning rule is presented. …”
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Clustering Bank's Customers Using Artificial Neural Networks by Ali Morovati Sharifabadi

“…In this paper, we present the experimental results of clustering bank's customers using artificial neural networks (ANN) compared with traditional statistical methods. …”
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Hardware implementation of memristor-based artificial neural networks by Fernando Aguirre, Abu Sebastian, Manuel Le Gallo, Wenhao Song, Tong Wang, J. Joshua Yang, Wei Lu, Meng-Fan Chang, Daniele Ielmini, Yuchao Yang, Adnan Mehonic, Anthony Kenyon, Marco A. Villena, Juan B. Roldán, Yuting Wu, Hung-Hsi Hsu, Nagarajan Raghavan, Jordi Suñé, Enrique Miranda, Ahmed Eltawil, Gianluca Setti, Kamilya Smagulova, Khaled N. Salama, Olga Krestinskaya, Xiaobing Yan, Kah-Wee Ang, Samarth Jain, Sifan Li, Osamah Alharbi, Sebastian Pazos, Mario Lanza

“…In this work we review the latest efforts for achieving hardware-based memristive artificial neural networks (ANNs), describing with detail the working principia of each block and the different design alternatives with their own advantages and disadvantages, as well as the tools required for accurate estimation of performance metrics. …”
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Using artificial neural networks in estimating wood resistance by Eder Pereira Miguel, Rafael Rodolfo de Melo, Laércio Serenini Junior, Cláudio Henrique Soares Del Menezzi

“… The purpose of this research was to evaluate the potential of Artificial Neural Networks in estimating the properties of wood resistance. …”
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