Results 31 to 40 of about 11,756 (222)
High-temperature characteristics of 20MnB4 and 30MnB4 micro-addition cold upsetting steels and C45 and C70 high-carbon-steels [PDF]
The paper analyzes the high-temperature plasticity characteristics of 20MnB4 and 30MnB4 with micro-additives, intended for cold upsetting and high-carbon steels C45 and C70 in the “solid phase-liquid” during heating and cooling.
S. Sawicki +5 more
doaj +1 more source
Utjecaj temperature popuštanja na tvrdoću, žilavost i mikrostrukturu čelika C45
Završni rad ispituje utjecaj temperature popuštanja nakon kaljenja na tvrdoću, žilavost i mikrostrukturu čelika C45. Nakon kratkog uvoda u kojem se objašnjava zadatak rada.
Domikulić, Anita
core +3 more sources
Rhinoviruses (RV) are a major cause of Severe Acute Respiratory Infection (SARI) in children, with high genotypic diversity in different regions. However, RV type diversity remains unknown in several regions of the world.
Sondes Haddad-Boubaker +10 more
doaj +1 more source
The aim of this research study is to test the effectiveness of the single-sectional integrated model, in which a neural network is applied to support a regression, as a consistent tool for short-term forecasting of hourly demand (in sec.) for ...
Kaczmarczyk Paweł
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Comparing classification algorithms for prediction on CROBEX data
The main objective of this analysis is to evaluate and compare the various classification algorithms for the automatic identification of favourable days for intraday trading using the Croatian stock index CROBEX data.
Jerić Silvija Vlah
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Improved C45 performance with gain ratio for credit approval dataset [PDF]
”” People's shopping behavior has undergone many changes after the COVID-19 pandemic. Many people have switched to using the marketplace to make buying and selling transactions.
Al Karomi, M Adib +2 more
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Medium-chain-length polyprenol (C45–C55) formation in chloroplasts of Arabidopsis is brassinosteroid-dependent [PDF]
Brassinosteroids are important plant hormones influencing, among other processes, chloroplast development, the electron transport chain during light reactions of photosynthesis, and the Calvin-Benson cycle.
Swiezewska, Ewa +8 more
core +1 more source
Deep Learning Predictive Models for Terminal Call Rate Prediction during the Warranty Period
Background: This paper addresses the problem of products’ terminal call rate (TCR) prediction during the warranty period. TCR refers to the information on the amount of funds to be reserved for product repairs during the warranty period.
Ferencek Aljaž +4 more
doaj +1 more source
The prediction of financial distress has emerged as a significant concern over a prolonged period spanning more than half a century. This subject has garnered considerable attention owing to the precise outcomes derived from its predictive models.
Sabek Amine
doaj +1 more source
Training and Interpreting Machine Learning Models: Application in Property Tax Assessment
In contrast to the outstanding performance of the machine learning approach, its adoption in industry appears to be relatively slow compared to the speed of its proliferation in a variety of business sectors.
Lee Changro
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