Results 11 to 20 of about 27,824 (260)

Prediction of CO2 Mass Transfer Flux in Aqueous Amine Solutions Using Artificial Neural Networks [PDF]

Iranian Journal of Chemistry & Chemical Engineering, 2020
In the present research, neural networks were applied to predict mass transfer flux of CO2 in aqueous amine solutions. Buckingham π theorem was used to determine the effective dimensionless parameters on CO2 mass transfer flux in reactive separation ...
Ahad Ghaemi, Zahra Jafari, Edris Etemad
doaj   +1 more source

Outcome prediction for critical care patients with respiratory neoplasms using a multilayer perceptron neural network

Einstein (São Paulo), 2023
Objective: The variation in mortality rates of intensive care unit oncological patients may imply that clinical characteristics and prognoses are very different between specific subsets of patients with cancer.
Beatriz Nistal-Nuño
doaj   +1 more source

Applying Machine Learning Techniques to the Audit of Antimicrobial Prophylaxis

Applied Sciences, 2022
High rates of inappropriate use of surgical antimicrobial prophylaxis were reported in many countries. Auditing the prophylactic antimicrobial use in enormous medical records by manual review is labor-intensive and time-consuming.
Zhi-Yuan Shi, Jau-Shin Hon, Chen-Yang Cheng, Hsiu-Tzy Chiang, Hui-Mei Huang   +4 more
doaj   +1 more source

Artificial intelligence-based framework for early detection of heart disease using enhanced multilayer perceptron [PDF]

Frontiers in Artificial Intelligence
Monir Abdullah, Abdullah Monir
exaly   +2 more sources

Modeling and Estimating of Load Demand of Electricity Generated from Hydroelectric Power Plants in Turkey using Machine Learning Methods

Advances in Electrical and Computer Engineering, 2014
In this study, the electricity load demand, between 2012 and 2021, has been estimated using the load demand of the electricity generated from hydroelectric power plants in Turkey between 1970 and 2011.
DURSUN, B., AYDIN, F., ZONTUL, M., SENER, S.   +3 more
doaj   +1 more source

Specialios struktūros daugiasluoksnis perceptronas daugiamačiams duomenims vizualizuoti

Informacijos Mokslai, 2009
Pasiūlytas ir ištirtas radialinių bazinių funkcijų ir daugiasluoksnio perceptrono junginys daugiamačiams duomenis vizualizuoti. Siūlomas vizualizavimo būdas apima daugiamačių duomenų matmenų mažinimą naudojant radialines bazines funkcijas, daugiamačių ...
Laura Ringienė, Gintautas Dzemyda
doaj   +1 more source

Human Activity Classification Using Multilayer Perceptron

Sensors, 2021
The number of smart homes is rapidly increasing. Smart homes typically feature functions such as voice-activated functions, automation, monitoring, and tracking events.
Ojan Majidzadeh Gorjani, Radek Byrtus, Jakub Dohnal, Petr Bilik, Jiri Koziorek, Radek Martinek   +5 more
doaj   +1 more source

Effective Heart Disease Prediction Using Machine Learning Techniques

Algorithms, 2023
The diagnosis and prognosis of cardiovascular disease are crucial medical tasks to ensure correct classification, which helps cardiologists provide proper treatment to the patient. Machine learning applications in the medical niche have increased as they
Chintan M. Bhatt, Parth Patel, Tarang Ghetia, Pier Luigi Mazzeo   +3 more
doaj   +1 more source

Simulation study of neutron multiplicity of plutonium samples of different shapes

Frontiers in Energy Research, 2022
In this paper, an optimized boron-coated straw tube neutron multiplicity counter is used to simulate neutron multiplicity for six different shapes of weapons-grade plutonium samples.
Yunfeng Lu, Quanhu Zhang, Qingxu Yao, Yu Wang   +3 more
doaj   +1 more source

A Multilayer Perceptron Model for Stochastic Synthesis

Hydrology, 2021
Time series analysis is a major mathematical tool in hydrology, with the moving average being the most popular model type for this purpose due to its simplicity.
Evangelos Rozos, Panayiotis Dimitriadis, Katerina Mazi, Antonis D. Koussis   +3 more
doaj   +1 more source