Information criterion for approximation of unnormalized densities. by John Y Choe, Yen-Chi Chen, Nick Terry

“…This density approximation problem is ubiquitous in statistics, such as approximating a posterior density for Bayesian inference and estimating an optimal density for importance sampling. We consider a parametric approximation approach and cast it as a model selection problem to find the best model in pre-specified distribution families (e.g., select the best number of Gaussian mixture components and their parameters). …”
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Controlled biopolymer roughness induced by plasma and excimer laser treatment by P. Slepicka, I. Michaljanicova, V. Svorcik

“…The motivation of this work is to determine optimal conditions for rough or flat biopolymer surface which may find broad application in tissue engineering as biocompatible carrier for various types of cell lines. …”
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Predictive Study on the Cutting Energy Efficiency of Dredgers Based on Specific Cutting Energy by Junlang Yuan, Ke Yang, Taiwei Yang, Haoran Xu, Ting Xiong, Shidong Fan

“…Subsequently, five machine learning algorithms, such as RF and XGBoost, are used in combination with a grid search to find the optimal hyperparameters, and Lasso is used as the meta-learner to integrate the prediction results. …”
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Analysis of High-Frequency Sea-State Variability Using SWOT Nadir Measurements and Application to Altimeter Sea State Bias Modelling by Estelle Mazaleyrat, Ngan Tran, Laïba Amarouche, Douglas Vandemark, Hui Feng, Gérald Dibarboure, François Bignalet-Cazalet

“…The results also imply that optimal time-differencing (i.e., >4 days) should be considered when building SSB model data training sets. …”
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Effects of hexavalent chromium on the biology of Steinernema feltiae: evaluating sublethal endpoints for ecotoxicity testing. by Anique Godjo, Darren Mc Donald, Lucile Ansaldi, Islam A A Darwish, John L Byrne, Thomais Kakouli-Duarte

“…Reproduction, unlike the other sublethal parameters tested, appeared not to be an optimal endpoint for assessing soil Cr VI + risk contamination. …”
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Frozen Meat-Containing Semi-Finished Minced Products: Biopolymer Packaging Materials by Igor A. Korotkiy, Elena V. Korotkaya, Aleksandr N. Rasshchepkin, Gulnar F. Sahabutdinova

“…The research objective was to find the optimal modes for minced-meat semi-finished products frozen in a biopolymer package. …”
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Solar Photocatalytic Removal of Chemical and Bacterial Pollutants from Water Using Pt/TiO2-Coated Ceramic Tiles by S. P. Devipriya, Suguna Yesodharan, E. P. Yesodharan

“…This catalyst was found effective for the solar photocatalytic removal of chemical and bacterial pollutants from water. Once the parameters are optimized, the Pt/TiO2/tile can find application in swimming pools, hospitals, water theme parks, and even industries for the decontamination of water.…”
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Ag(I) decorated isomeric triazine complexes as efficient hydrogen storage materials - A theoretical investigation by Abhishek Bag, Gobinda Chandra De, Shampa Bhattacharyya, Bikash Bepari, Himadri Sekhar Das, Sateesh Bandaru, Gourisankar Roymahapatra

“…Many transition metal-based metal-organic frameworks have been explored for hydrogen (H₂) storage, but finding an optimal solution remains challenging. This study employs Density Functional Theory (DFT) with various functionals and basis sets to examine Ag(I)-decorated isomeric triazines (123, 124, and 135 ​N-positions) as potential H₂ storage materials. …”
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HVDC technologies in electric power transmission: International practices and development pathways in Kazakhstan by Akhatov Daulet, Zhautikov Bakhyt, Sivyakova Galina, Nikulshin Alexandr, Druzhinin Valery, Kamarova Saule, Kuntush Yelena, Siverskaya Tatyana

“…Particular attention is given to analysis of power losses, system stability, and control strategies for HVDC systems, based on current research. The finding enables an assessment of the feasibility of implementing HVDC in Kazakhstan’s power grid and support the identification of optimal transmission parameters to enhance system efficiency. …”
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An enhanced tabu search algorithm for resource-constrained project scheduling with a flexible project structure by Chunlai Yu, Xiaoming Wang, Qingxin Chen

“…Due to the NP-hard nature of the problem, this mathematical model can only be used to find the optimal solution to small-scale problems. …”
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Levenberg–Marquardt Backpropagation for Numerical Treatment of Micropolar Flow in a Porous Channel with Mass Injection by Hakeem Ullah, Imran Khan, Hussain AlSalman, Saeed Islam, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Abdu Gumaei, Mehreen Fiza, Kashif Ullah, Sk. Md. Mizanur Rahman, Muhammad Ayaz

“…The learning process of the adjustable parameters is conducted with efficacy of the LMA-BANN model. …”
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A novel approach for predicting the standardised precipitation index considering climatic factors by Mustafa A. Alawsi, Salah L. Zubaidi, Laith B. Al-badranee

“…The result revealed that data pre-processing techniques enhance the data quality by increasing the correlation coefficient between independent and dependent variables; and choosing the optimal input model scenario. Also, it was found that the PSO algorithm precisely predicts the parameters of the proposed model. …”
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Directions for improving the pension indexations mechanism in the context of Russian economy’s transformation by M. L. Dorofeev

“…The proposed directions were classified into four groups: 1) measures of a general economic nature, indirectly affecting the level of pension provision; 2) changing the general parameters of the existing pension system in order to optimize it; 3) the development of a non-governmental pension insurance system to solve the problem of a low replacement rate for high-income groups of pension recipients and 4) a change in the existing mechanism for indexing pensions, which involves more radical changes to fundamentally increase the level of pension provision for Russian pensioners.…”
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Lumen Degradation Lifetime Prediction for High-Power White LEDs Based on the Gamma Process Model by Mesfin Seid Ibrahim, Jiajie Fan, Winco K.C. Yung, Zeyu Wu, Bo Sun

“…An accelerated thermal degradation test was designed to gather luminous flux degradation data which was analyzed based on maximum likelihood estimation (MLE) and the method of moments (MM) to estimate the parameters for the GDD model. The MLE method has shown superiority over MM in terms of the estimation of the model parameters due to its iterative algorithm being likely to find the optimal estimation. …”
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Deep Learning Shield Attitude Prediction Model Based on Grey Correlation Analysis by Ke MAN, Zongxu LIU, Yan SHANG, Zhifei SONG, Xiaoli LIU, Bao SU

“…This finding indicated that the model effectively combined the single models and that eliminating parameters with low correlation to the cutter horizontal displacement, shield tail horizontal displacement, cutter vertical displacement, and shield tail vertical displacement shield attitude parameters improved the model’s prediction accuracy. …”
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REGULATORY ENVIRONMENT OF BUSINESS ACTIVITIES IN UKRAINE by Natalia Chekh, Ivan Vinnyk

“…This includes, in particular, obtaining building permition, difficulties in closing down of business and global commerce. Ukraine even did not find itself in top hundred according to these parameters. …”
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Learning Energy-Efficient Transmitter Configurations for Massive MIMO Beamforming by Hamed Hojatian, Zoubeir Mlika, Jeremy Nadal, Jean-Francois Frigon, Francois Leduc-Primeau

“…Therefore, finding the optimal transmitter architecture requires solving a non-convex mixed integer problem in a large search space. …”
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Simulation and analysis of residual stress in 17-7 PH stainless steel welded joints using laser shock peening technology by Weichen Yu, Yaping Li, Guicang Guo, Kangwen Li

“…The material was tested for residual stress using an X-ray stress diffractometer to verify the accuracy of the simulation results and lay the foundation for finding the optimal process parameters. The simulation results show that when the laser power density is 2.79 GW/cm2, the maximum residual compressive stress value on the surface of the sample after laser shock peening is −37.2 MPa; When the laser power density is 2.79 GW/cm2, the maximum residual compressive stress value on the surface of the sample is −94.1 MPa; When the power density reaches 5.17 GW/cm2, the maximum residual stress value on the surface of the laser shock peening sample is −144.8 MPa, and residual stress cavity is formed. …”
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DIPOLE ANTENNAS WITH A SECTOR-SHAPED RADIATION PATTERN by M. M. Gorobets, N. P. Yeliseyeva, S. L. Berdnyk, O. M. Horobets

“…The obtained calculation results for the maximum achievable electrodynamic characteristics allow us to find optimal geometric parameters of the antenna with a sector-shaped pattern for a particular application.…”
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Research on the Rapid Detection of Formaldehyde Emission From Wood-Based Panels Based on the AMSHKELM by Yinuo Wang, Huanqi Zheng, Hua Wang, Yucheng Zhou

“…The multi-strategy improved black-winged kite algorithm then optimizes key parameters of the successive variational mode decomposition (SVMD) and hybrid kernel extreme learning machine (HKELM). …”
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