Digital transformation of thermal and cold spray processes with emphasis on machine learning
K Malamousi, K Delibasis, B Allcock… - Surface and Coatings …, 2022 - Elsevier
Thermal spray technologies continuously evolve to meet new challenges arising from
current and future market needs and requirements. This evolution has been well …
current and future market needs and requirements. This evolution has been well …
Demand forecasting with color parameter in retail apparel industry using artificial neural networks (ANN) and support vector machines (SVM) methods
In this study, product variety has been taken into account and sales forecasting has been
performed by using artificial intelligence to minimize error rate, in the retail garment industry …
performed by using artificial intelligence to minimize error rate, in the retail garment industry …
Process modeling and parameter optimization of surface coatings using artificial neural networks (ANNs): State-of-the-art review
UMR Paturi, S Cheruku, SR Geereddy - Materials Today: Proceedings, 2021 - Elsevier
Thin-film coatings and surface engineering procedures have a significant role in developing
materials with extended mechanical, thermal and tribological properties. Advancement in …
materials with extended mechanical, thermal and tribological properties. Advancement in …
Experimental investigation of nano-encapsulated molten salt for medium-temperature thermal storage systems and modeling of neural networks
Molten salts were chosen as a thermal storage medium because they were best suited for
medium-temperature thermal energy storage applications. Their nano-sized capsules allow …
medium-temperature thermal energy storage applications. Their nano-sized capsules allow …
An investigation of hybrid models FEA coupled with AHP-ELECTRE, RSM-GA, and ANN-GA into the process parameter optimization of high-quality deep-drawn …
SPS Singh Sivam, R Rajendran… - … Based Design of …, 2024 - Taylor & Francis
Deep drawing is one of the primary sheet metal forming processes that is used all over the
world. The current study focused on using Analytical Hierarchy Process-Elimination and …
world. The current study focused on using Analytical Hierarchy Process-Elimination and …
Experimental investigation on hot corrosion, oxidation and microstructure of WC based cermet HVOF coating
N Kumar, VK Choubey - High Temperature Corrosion of Materials, 2024 - Springer
Abstract 316LSS is used in various industrial applications, including heat exchangers,
dyeing equipment, pulp and paper equipment, and marine equipment for chemicals, dyes …
dyeing equipment, pulp and paper equipment, and marine equipment for chemicals, dyes …
Prediction of separation efficiency in gas cyclones based on RSM and GA-BP: Effect of geometry designs
The quick prediction of the separation efficiency of gas cyclones is key to the rapid analysis
of geometrical factors and designs. The computational Fluid Dynamics (CFD)-based …
of geometrical factors and designs. The computational Fluid Dynamics (CFD)-based …
Artificial neural networks applied to the analysis of performance and wear resistance of binary coatings Cr3C237WC18M and WC20Cr3C27Ni
A Becker, HDC Fals, AS Roca, IBAF Siqueira… - Wear, 2021 - Elsevier
The wear process, of hydroelectric turbine blades, is a complex and multifactorial
phenomenon where coatings applied by thermal spray are often used. In this work, artificial …
phenomenon where coatings applied by thermal spray are often used. In this work, artificial …
Handling the imbalanced data with missing value elimination SMOTE in the classification of the relevance education background with graduates employment
The imbalanced data affect the accuracy of models, especially for precision and sensitivity, it
makes difficult to find information on minority class. The problem is identified in the tracer …
makes difficult to find information on minority class. The problem is identified in the tracer …
[HTML][HTML] Prediction of the removal of solid suspensions and chemical oxygen demand from a pharmaceutical wastewater plant using a neural network approach
This study aimed to model the removal efficiency of chemical oxygen demand (COD) and
solid suspension (SS) from a real pharmaceutical wastewater treatment plant (WWTP) using …
solid suspension (SS) from a real pharmaceutical wastewater treatment plant (WWTP) using …