[PDF][PDF] Prediction of seismic wave intensity generated by bench blasting using intelligence committee machines

Y Azimi - International Journal of Engineering, 2019 - scholar.archive.org
In large open pit mines prediction of Peak Particle Velocity (PPV) provides useful information
for safe blasting. At Sungun Copper Mine (SCM), some unstable rock slopes facing to …

Microstructure and strengthening mechanism of Ti/Cu laminated composite produced by underwater explosive welding

W Sun, J Guo, W Zhang, X Li, X Chen - Journal of Materials Engineering …, 2020 - Springer
A laminated structure is applied to strengthen metal alloys by a microstructure design
strategy. Explosive welding is an important manufacturing method to realize the joining of …

Extreme gradient boosting: A machine learning technique for daily global solar radiation forecasting on tilted surfaces

OM Mbah, CI Madueke, R Umunakwe, NA Maurison - 2022 - essuir.sumdu.edu.ua
Enhancing solar irradiance and accurate forecasting is required for improved performance
of photovoltaic and solar thermal systems. In this study, Extreme Gradient Boosting …

Machine learning approach for solar irradiance estimation on tilted surfaces in comparison with sky models prediction

OM Mbah, CI Madueke, R Umunakwe, CO Okofor - 2022 - essuir.sumdu.edu.ua
In this study, two supervised machine learning models (Extreme Gradient Boosting and K-
nearest Neighbour) and four isotropic sky models (Liu and Jordan, Badescu, Koronakis, and …

Predictive modeling of the length of prepared CNT by CVD through ANN-MPSO and GEP

M Khosravi, M Zeraati - Journal of Particle Science and Technology, 2019 - jpst.irost.ir
Floating catalyst chemical vapor deposition (FC-CVD) is considered as one of the most
appropriate techniques for the preparation of carbon nanotubes (CNTs) on the industrial …

Modified particle swarm optimization-artificial neural network and gene expression programing for predicting high temperature oxidation behavior of Ni–Cr–W-MO …

H Hasibi, A Mahmoudian, GR Khayati - International Journal of Engineering, 2020 - ije.ir
This paper is an attempt to model the oxidation behavior of Ni-base alloys by considering
the alloying elements, ie, Cr, W, Mo, as variables. Modified particle swarm optimization …

A hybrid approach based on artificial neural network and cuckoo algorithm for optimization of the main cutting force during turning of Si brass alloys

M Adineh, H Doostmohammadi - SN Applied Sciences, 2021 - Springer
As an innovative approach in this study, artificial neural network and cuckoo algorithm have
been applied to estimate and optimize the main cutting forces of various Si brass alloys …

Evaluation of heterocyclic aromatic compound dye (methylene blue) on chitosan adsorbent sourced from African snail shell: Modelling and optimization studies

VE Bello, OA Olafadehan - Journal of Applied Science & …, 2022 - publisher.unimas.my
In this article, the modelling and optimization of five operational process parameters
involving initial concentration, adsorbent dosage, contact time, temperature and pH of the …

Optimization of thermal decomposition conditions of bone to achieve the highest percentage of crystalline phase in bone char using gene expression programming …

F Fatahi, GR Khayati - International Journal of Engineering, 2021 - ije.ir
Bone char (BC) is one of the most common adsorbent with extensive applications in the
removal of pollutions. The adsorption capability of BC is proportional to the crystalline index …

Medical Diagnosis: Implementation of Different Machine Learning Based Approaches

R Kaur, A Singh, S Kumar - 2021 9th International Conference …, 2021 - ieeexplore.ieee.org
Medical diagnosis is the process of identifying medical diseases through different symptoms
and medical test reports of a patient. Diagnosing a medical disease is challenging due to the …