Results 11 to 20 of about 34,499 (218)
Metals, 2022 Multi-principal element alloys (MPEAs) are characterized by a high-dimensional materials design space, and data-driven models can be considered as the best tools to describe the structure–property relationship in this class of materials.
Upadesh Subedi +4 more
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Toward the analysis of graph neural networks
Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results, 2022 Accepted to ICSE 2022, NIER ...
Thanh-Dat Nguyen +4 more
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Molecules, 2022 In order to solve the problem of demulsification difficulties in Liaohe Oilfield, 24 kinds of demulsifiers were screened by using the interface generation energy (IFE) module in the molecular dynamics simulation software Materials Studio to determine the
Xiaoheng Geng +8 more
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Analysis of Artificial Neural-Network [PDF]
International Journal of Trend in Scientific Research and Development, 2018 An Artificial Neural Network ANN is a computational model that is inspired by the way biological neural networks in the human brain process information. Artificial Neural Networks have generated a lot of excitement in Machine Learning research and industry, thanks to many breakthrough results in speech recognition, computer vision and text processing ...
Rajesh CVS, Nadikoppula Pardhasaradhi
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Neural network analysis for hotel service design in Madrid: the 3Ps methodology and the frontline staff [PDF]
Tourism & Management Studies, 2018 This paper takes into account a fresh approach to hotel service experience based on the concept of “3Ps Methodology” and “Neural Network Analysis” (NNA). Traditional tools of experience management have been implemented by hotel management in the last
Javier De Esteban Curiel +3 more
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Analysis of Diffractive Optical Neural Networks and Their Integration With Electronic Neural Networks [PDF]
IEEE Journal of Selected Topics in Quantum Electronics, 2020 Optical machine learning offers advantages in terms of power efficiency, scalability and computation speed. Recently, an optical machine learning method based on Diffractive Deep Neural Networks (D2NNs) has been introduced to execute a function as the input light diffracts through passive layers, designed by deep learning using a computer.
Deniz Mengu +3 more
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Open Geosciences, 2021 The reliable quantification of daily evapotranspiration (ET) over vast croplands is a quest in many scholarly works aimed at the precise practice of water resources management.
Elhag Mohamed +2 more
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Известия высших учебных заведений. Поволжский регион:Технические науки, 2021 Background. Over 120 years, Pearson’s criterion has been widely used to calculate correlation coefficients. Unfortunately, its use generates significant errors in calculating the correlation coefficients on small samples.
A.I. Ivanov +3 more
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Predicting a clinically narrow pelvis using neural network data analysis
Акушерство, гинекология и репродукция, 2023 Aim: to improve the efficiency of predicting a clinically narrow pelvis (СNP) using neural network data analysis and to evaluate its prognostic characteristics.Materials and Мethods. The study was designed as a retrospective non-randomized clinical trial.
A. M. Ziganshin +2 more
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Applied Sciences, 2022 The morphology of the human cranium allows for reconstructing important information about the identity of an individual, such as age, ancestry, sex, and health status.
Antonietta Del Bove, Alessio Veneziano
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