Vyzkoušejte nový nástroj s podporou AI
Summon Research Assistant
BETA
Assessment of machine learning algorithms for predicting autoignition and ignition delay time in microscale supercritical water oxidation process
Sharma, Deewakar, Lecoutre, Carole, Palencia, Fabien, Nguyen, Olivier, Erriguible, Arnaud, Marre, Samuel
Published in Fuel (Guildford) (15.11.2023)
Published in Fuel (Guildford) (15.11.2023)
Get full text
Journal Article
Gaussian process regression for monitoring and fault detection of wastewater treatment processes
Samuelsson, Oscar, Björk, Anders, Zambrano, Jesús, Carlsson, Bengt
Published in Water science and technology (01.06.2017)
Published in Water science and technology (01.06.2017)
Get full text
Journal Article
Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques
Alejo, Luz, Atkinson, John, Guzmán-Fierro, Víctor, Roeckel, Marlene
Published in Environmental science and pollution research international (01.07.2018)
Published in Environmental science and pollution research international (01.07.2018)
Get full text
Journal Article
Application of machine learning methods for process safety assessments
Bengherbia, Tarek, Syed, Faisal A., Chew, Jenny, Khalid, Fathullah A., Goh, Alex F. T., Chraibi, Kenza, Abdeen, Mohammed Zainal
Published in Process safety progress (01.05.2024)
Published in Process safety progress (01.05.2024)
Get full text
Journal Article
Optimization and Scale-Up of Fermentation Processes Driven by Models
Du, Yuan-Hang, Wang, Min-Yu, Yang, Lin-Hui, Tong, Ling-Ling, Guo, Dong-Sheng, Ji, Xiao-Jun
Published in Bioengineering (Basel) (01.09.2022)
Published in Bioengineering (Basel) (01.09.2022)
Get full text
Journal Article
A comprehensive investigation on application of machine learning for optimization of process parameters of laser powder bed fusion-processed 316L stainless steel
Eshkabilov, Sulaymon, Ara, Ismat, Azarmi, Fardad
Published in International journal of advanced manufacturing technology (01.12.2022)
Published in International journal of advanced manufacturing technology (01.12.2022)
Get full text
Journal Article
Parametric optimization and process capability analysis for machining of nickel-based superalloy
Gupta, Munish Kumar, Mia, Mozammel, Pruncu, Catalin I., Kapłonek, Wojciech, Nadolny, Krzysztof, Patra, Karali, Mikolajczyk, Tadeusz, Pimenov, Daniil Yu, Sarikaya, Murat, Sharma, Vishal S.
Published in International journal of advanced manufacturing technology (19.06.2019)
Published in International journal of advanced manufacturing technology (19.06.2019)
Get full text
Journal Article
Surrogate modeling for injection molding processes using deep learning
Uglov, Arsenii, Nikolaev, Sergei, Belov, Sergei, Padalitsa, Daniil, Greenkina, Tatiana, Biagio, Marco San, Cacciatori, Fabio Massimo
Published in Structural and multidisciplinary optimization (01.11.2022)
Published in Structural and multidisciplinary optimization (01.11.2022)
Get full text
Journal Article
Deep learning based retinal OCT segmentation
Pekala, M., Joshi, N., Liu, T.Y. Alvin, Bressler, N.M., DeBuc, D. Cabrera, Burlina, P.
Published in Computers in biology and medicine (01.11.2019)
Published in Computers in biology and medicine (01.11.2019)
Get full text
Journal Article
Optimization of an Industrial Circulating Water System Based on Process Simulation and Machine Learning
Liu, Yingjie, Shao, Runjie, Ye, Qing, Li, Jinlong, Sun, Ruiyu, Zhai, Yifei
Published in Processes (01.02.2025)
Published in Processes (01.02.2025)
Get full text
Journal Article
Uncertainty quantification for Multiphase-CFD simulations of bubbly flows: a machine learning-based Bayesian approach supported by high-resolution experiments
Liu, Yang, Wang, Dewei, Sun, Xiaodong, Liu, Yang, Dinh, Nam, Hu, Rui
Published in Reliability engineering & system safety (01.08.2021)
Published in Reliability engineering & system safety (01.08.2021)
Get full text
Journal Article
Extracurricular Activities, Screen Media Activity, and Sleep May Be Modifiable Factors Related to Children’s Cognitive Functioning: Evidence From the ABCD Study
Kirlic, Namik, Colaizzi, Janna M., Cosgrove, Kelly T., Cohen, Zsofia P., Yeh, Hung‐Wen, Breslin, Florence, Morris, Amanda S., Aupperle, Robin L., Singh, Manpreet K., Paulus, Martin P.
Published in Child development (01.09.2021)
Published in Child development (01.09.2021)
Get full text
Journal Article
A Computational Framework for Precise Aerial Agricultural Spray Delivery Processes
Betancourt, J. O., Li, I., Mengi, E., Corrales, L., Zohdi, T. I.
Published in Archives of computational methods in engineering (01.09.2024)
Published in Archives of computational methods in engineering (01.09.2024)
Get full text
Journal Article
A reduced order model for turbulent flows in the urban environment using machine learning
Xiao, D., Heaney, C.E., Mottet, L., Fang, F., Lin, W., Navon, I.M., Guo, Y., Matar, O.K., Robins, A.G., Pain, C.C.
Published in Building and environment (15.01.2019)
Published in Building and environment (15.01.2019)
Get full text
Journal Article