Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Machine Learning Deployment as a Web Service to Evaluate the Production Cycle of Environmental Goods: Primary Analysis of Ionic Liquids with Visualizations. / Чижик, Владимир Иванович; Trufanov , Alexander ; Чижик, Анна Владимировна.
Digital Geography. IMS 2023. ed. / M Bakaev; R Bolgov; A. V. Chugunov; R. Pereira; W. Zhang. Springer Nature, 2024. p. 323–332 (Springer Geography; Vol. Part F3643).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Machine Learning Deployment as a Web Service to Evaluate the Production Cycle of Environmental Goods: Primary Analysis of Ionic Liquids with Visualizations
AU - Чижик, Владимир Иванович
AU - Trufanov , Alexander
AU - Чижик, Анна Владимировна
N1 - Conference code: 26
PY - 2024
Y1 - 2024
N2 - Many applied research studies require a convenient web interface that would allow making a set of hypotheses, due to the fact that the data or the operation of algorithms is visualized. This chapter describes an experiment to create such an interface. We have chosen the theme of the production of goods from recycled materials. This process involves, for example, the use of cellulose. The first cycle of working with it involves the process of dissolution. In order for this to be economically feasible, it is necessary to select an ionic liquid. It is obvious that the process of selecting a substance can be automated; appropriate algorithms are developing every year. And so that people who are not related to chemistry and physics can make decisions, it is necessary to provide them with a tool that helps in this. Thus, we have chosen a sphere where there are ML models, and the visualized conclusions of algorithms can help a nonspecialist to make decisions.
AB - Many applied research studies require a convenient web interface that would allow making a set of hypotheses, due to the fact that the data or the operation of algorithms is visualized. This chapter describes an experiment to create such an interface. We have chosen the theme of the production of goods from recycled materials. This process involves, for example, the use of cellulose. The first cycle of working with it involves the process of dissolution. In order for this to be economically feasible, it is necessary to select an ionic liquid. It is obvious that the process of selecting a substance can be automated; appropriate algorithms are developing every year. And so that people who are not related to chemistry and physics can make decisions, it is necessary to provide them with a tool that helps in this. Thus, we have chosen a sphere where there are ML models, and the visualized conclusions of algorithms can help a nonspecialist to make decisions.
KW - Ionic liquids
KW - ML models
KW - Web service
UR - https://www.mendeley.com/catalogue/c1211d6d-c0d6-3398-9716-fa25367d8f5b/
U2 - 10.1007/978-3-031-67762-5_25
DO - 10.1007/978-3-031-67762-5_25
M3 - Conference contribution
SN - 978-3-031-67761-8
T3 - Springer Geography
SP - 323
EP - 332
BT - Digital Geography. IMS 2023
A2 - Bakaev, M
A2 - Bolgov, R
A2 - Chugunov, A. V.
A2 - Pereira, R.
A2 - Zhang, W.
PB - Springer Nature
T2 - International Conference “Internet and Modern Society” (IMS-2023)
Y2 - 26 June 2023 through 28 June 2023
ER -
ID: 127288256