Prediction of Oil Sorption Capacity on Carbonized Mixtures of Shungite Using Artificial Neural Networks

Cristea, Mircea Vasile; Baigulbayeva, Moldir; Ongarbayev, Yerdos; Смайлов, Нуржигит; Akkazin, Yerzhan; Ubaidulayeva, Nurbala

doi:10.3390/pr11020518

Cited by 5 publications

(1 citation statement)

References 34 publications

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“…[49], [50], [51], [52] conducted a joint scientific study of a wide range of problematic aspects of the application of information and communication technologies and technological innovations based on artificial intelligence in the training of future specialists in the tourism industry. According to the scientists, the training of specialists in the tourism industry, at the proper level of knowledge of systems based on artificial intelligence and information and communication technologies, has repeatedly changed due to changes in these industries [53].…”

Section: Discussionmentioning

confidence: 99%

The growing use and impact of artificial intelligence technologies in the tourism industry

Indaryanto,

Harijadi,

Sinaga

2023

Sustainable Engineering and Innovation

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The research relevance is determined by the increasing role of artificial intelligence in the tourism business, which was demonstrated during the outbreak of the COVID-19 pandemic in Bali, resulting in a decline in the number of tourists visiting the island. The research aims to investigate the real-life experience of applying artificial intelligence systems in the tourism industry to address the challenges of developing the tourism industry in Bali, Indonesia. The basis of the methodological approach is a combination of theoretical methods of analysis and synthesis of the collected information covering the practical experience of the application of artificial intelligence systems in the tourism industry, as well as a survey of customers of travel agencies that have used such systems in trips to Bali. The research results show that artificial intelligence can significantly help the tourism business in Bali, as the number of tourists visiting the island dropped by 40% during the pandemic, resulting in a reduction in the number of tourism staff. The practical application of systems based on artificial intelligence opens up a wide range of business opportunities, as it allows for optimizing the activities of tourism firms and providing customers with high-quality services with highly technical equipment. The use of neural network mathematical models of tourist firms’ activity based on AI, allows them to achieve high speed of data processing, which allows tourist firms numerous competitive advantages and significantly improves the quality of their services. The practical significance of the results of this scientific research lies in the possibility of their application in the organization of the activities of enterprises in the sphere of tourism business, built on the use of digital technologies and systems based on artificial intelligence.

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Section: Discussionmentioning

confidence: 99%

The growing use and impact of artificial intelligence technologies in the tourism industry

Indaryanto,

Harijadi,

Sinaga

2023

Sustainable Engineering and Innovation

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Comparative Analysis of Machine Learning Approaches to Predict Impact Energy of Hydraulic Breakers

2023

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Impact energy, the main performance subject of hydraulic breakers, is required to evaluate value from consumers. This study proposes a neural network algorithm-based model to predict the impact energy of a hydraulic breaker without measuring it. The proposed model was developed using 1451 data points for various parameters as an input to predict the impact energy of hydraulic breakers in a small class to a large class. Different machine learning methods have been studied, including correlation analysis, linear regression, and neural networks. The results revealed that the working pressure, working flow rate, chisel diameter, nitrogen gas pressure, operating frequency, and power significantly influenced impact energy formation. The results obtained provide a reliable model for predicting the impact energy of hydraulic circuit breakers of various sizes.

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Psychological and pedagogical problems of the methodology of computerization of gaming technologies in teaching chemistry

Kaumbayev,

Akhmetov

2024

Scientific Herald of Uzhhorod University Series Physics

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Relevance. The relevance of the scientific subject is based on the search and solution of psychological and pedagogical problems of the methodology of computerization of gaming technologies in teaching chemistry. The process of committing experimental verification of the methodology of computerization of gaming technologies in teaching chemistry. Purpose. The purpose of the article is to study the process of using computer gaming technologies in the educational process of a higher educational institution during chemistry classes. Methodology. Such methods as analysis, synthesis, comparison, generalization of views belonging to Kazakh and European researchers in scientific and educational literature on the issue of researching methodology of teaching chemistry and technology of computerization of gaming technologies, graphic ones – for visual illustration and comparison of results obtained during research, are at the core of the methodological approach of research. Results. The training course on the topic “Features of creating and using a STEAM-oriented educational environment of the higher education”, a special course for students in the Abai Kazakh National Pedagogical University on the topic “Technologies of the development of computer games”, are developed and implemented, the development of and the application for an international grant project aimed at improving investment of the implementation of gaming technologies in educational process oriented at learning chemistry are accomplished and proposed respectively. Conclusions. The promising directions of improvements in the methodology of computerization of gaming technologies in teaching chemistry are formed. The practical value of the work is to determine the psychological and pedagogical problems of the methodology of computerization of gaming technologies in the process of teaching chemistry, namely: the development of a STEAM-oriented educational environment, the content of computerization of gaming technologies, the improvement of investment in the implementation of gaming technologies in the educational process of learning chemistry.

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Prediction of Oil Sorption Capacity on Carbonized Mixtures of Shungite Using Artificial Neural Networks

Cited by 5 publications

References 34 publications

The growing use and impact of artificial intelligence technologies in the tourism industry

The growing use and impact of artificial intelligence technologies in the tourism industry

Comparative Analysis of Machine Learning Approaches to Predict Impact Energy of Hydraulic Breakers

Psychological and pedagogical problems of the methodology of computerization of gaming technologies in teaching chemistry

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