Parallel visualization of reservoir models with ParaView by Oleg Kovalevskiy, Michel Cancelliere

“…For such grids, partitioning into vertical blocks has proved to be much more efficient for parallel visualization, than split into horizontal layers. Not only it requires less memory, processing and rendering are also faster. …”
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Exploring the Effects of Support Restoration on Pictorial Layers Through Multi-Resolution 3D Survey by Emma Vannini, Silvia Belardi, Irene Lunghi, Alice Dal Fovo, Raffaella Fontana

“…By processing and cross-comparing 3D point cloud data from both techniques, we quantified shape variations and evaluated their impact on the pictorial layers. …”
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Soil and vegetation responses to biochar application in terms of its feedback on carbon sequestration under different environmental conditions—LiDELS model overview by M Maslouski, A Eschenbach, C Beer, S Thomsen, P Porada

“…The LiDELS (LiBry-DETECT Layer Scheme) model offers a process-based approach to assess these soil-vegetation interactions and the potential for carbon sequestration in response to biochar application under diverse environmental conditions. …”
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A Short-Term Electricity Load Complementary Forecasting Method Based on Bi-Level Decomposition and Complexity Analysis by Xun Dou, Yu He

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Objective Sliding Mode Control for the Flotation Motor Replacement Process Based on a Stepwise Stochastic Configuration Network by Yunze Tang, Jinghui Qiao, Ningkang Xiong

“…In order to ensure the efficient operation of flotation equipment, we designed a manipulator to assist the work. The manipulator model is difficult to be accurate, and the diversity of external information brings great challenges to the precise control of the manipulator. …”
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High-Resolution Numerical Simulation and Impact Analysis of a Severe Convective Weather Process on the Kunming-Vientiane Route by Mei CHEN, Xiaohang WEN, Aijuan BAI, Minhong SONG

“…During March 23 and March 26， 2020， an area along the international route from Kunming， Yunnan to Vientiane， Laos experienced severe weather conditions including hail， thunderstorm winds， and heavy precipitation.A severe convective weather process was simulated using the mesoscale numerical model WRFV4.2 （Weather Research and Forecasting Model） and FNL （Final Operational Global Analysis） data from the National Centers for Environmental Prediction （NCEP）.Hourly weather station data from the China Meteorological Administration was used to check the reliability of the simulation.Furthermore， a diagnostic analysis of various physical quantities output from the WRF model was performed to provide an aviation safety reference for the Kunming-Laos Vientiane route in Yunnan.The results show that： （1） the WRF model can better simulate temperature and precipitable water， but the simulated values of the near-surface wind field are large during the daytime.（2） The simulated output physical quantity field of the simulation can indicate the time and location of severe convective weather， which has certain spatial and temporal forecasting and warning functions and can be used to judge the impact of severe convective weather on flight and the degree of impact according to it.（3） The severe convection was mainly caused by the eastward movement of the Southern Branch Trough， with dry and cold air in the upper levels superimposed on the warm and moist air forming an unstable structure， triggered by the surface convergence lines.Convective available potential energy （CAPE） in the route area is large， and the water vapor conditions are abundant-the rising motion and sinking motion alternate below 9 km altitude， which can cause turbulence during flights.Additionally， the 0 ℃ layer is located at an altitude of about 3 km， which can cause ice to form on the airframe or encounter hail weather， causing a certain impact on flight safety.…”
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Design, Fabrication, and Performance Evaluation of Solar Drying Chamber Used for Apple Slices by Kidane Halefom, Farkas Istvan, Buzás Janos

“…The objectives of the study were to design, fabricate, and evaluate the thermal performance and drying efficiency of solar drying systems and to identify the best thin-layer model for describing the drying kinetics of golden apple slices. …”
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FORMAL REPRESENTATION OF THE PIXEL-BY-PIXEL CLASSIFICATION PROCESS USING A MODIFIED WANG-MENDEL NEURAL NETWORK by Oleksii Kolomiitsev, Volodymyr Pustovarov

“…The following methods and models are used: methods and models of fuzzy set theory (fuzzy Wang-Mendel neural network, interval fuzzy sets of the second type), methods and models of deep learning methodology (convolutional neural network for image segmentation (auto coder) U-net). …”
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Reduction of Vision-Based Models for Fall Detection by Asier Garmendia-Orbegozo, Miguel Angel Anton, Jose David Nuñez-Gonzalez

“…We proceeded to use image sequences as video frames, using data from two open source datasets, and we applied the Sparse Low Rank Method to reduce certain layers of the Convolutional Neural Networks that were the backbone of the models. …”
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Interfacial processes of Mg anodes for magnesium-sulfur batteries: An EIS study by Joachim Häcker, Tobias Rommel, Pia Lange, Felix Kampmann, Jürgen Remmlinger, Zhirong Zhao-Karger, K. Andreas Friedrich, Maryam Nojabaee

“…In contrast, the sulfur species significantly influence the impedance response by altering the surface layer composition. By systematic process assignment of the gained spectra in Mg|Mg and Mg|S cells, specific equivalent circuit models for different anodes and cell conditions are derived. …”
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TEI in LMNL: Implications for Modeling by Wendell Piez

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Structural Similarity-Guided Siamese U-Net Model for Detecting Changes in Snow Water Equivalent by Karim Malik, Colin Robertson

“…A Siamese UNet (Si-UNet) was developed by modifying the model’s last layer to incorporate the structural similarity (SSIM) index. …”
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Pasternak Model-Based Tunnel Segment Uplift Model of Subway Shield Tunnel during Construction by Xiang-Ling Tao, Yun-He Su, Qi-Yin Zhu, Wen-Long Wang

“…A tunnel segment uplift calculation model based on the Pasternak foundation beam model is proposed, which considers the hardening process of the grouted body with time. …”
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Neural Networks vs. Regression: A Comparative Analysis in Medical Data Processing by Minodora ANDOR, Gheorghe Ioan MIHALAŞ

“…Conclusion: AI-based models are, indeed, recommended for data processing of large and/or unstructured complex medical data sets. …”
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Computational model of sliding bearing by Maria A. Savenkova, Konstantin S. Solop

“…The obtained calculated models allow for a comparative analysis of the newly received and already available results which confirms a great proximity of the new models to the actual one. …”
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A Realistic Breast Phantom for Investigating the Features of the Microwave Radiometry Method Using Mathematical and Physical Modelling by Maxim V. Polyakov, Danila S. Sirotin

“…This article presents the development of an anatomical breast phantom for investigating the capabilities of microwave radiometry in assessing thermal processes in biological tissues. The phantom accounts for the heterogeneous tissue structure and haemodynamics, enabling realistic heat transfer modelling. …”
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BERT-Residual Quantum Language Model Inspired by ODE Multi-Step Method by Shaohui Liang, Yingkui Wang, Shuxin Chen

“…Therefore, in this paper, we propose the BERT-Residual quantum language model inspired by the multi-step method of ordinary differential equations (ODE), using the density matrix to capture the semantic high-order interaction features missing in the BERT modeling process, and obtain the sentence representation, and perform the first step Residuals. …”
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Art of Engineering Inspired by Nature by saeed mashayekh faridani

“…Indeed nature is the ultimate art of engineering and perfect architectural and building model. The structures employed in nature are well tested. …”
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Comparative Analysis of Hybrid Attention and Progressive Layering Through a Comprehensive Evaluation of ARU-Net and PLU-Net in Brain Tumour Segmentation by Noman Ahmed Siddiqui, Muhammad Tahir Qadri, Muhammad Ovais Akhter, Tahira Anwar, Fahad Farooq

“…The current study is an in-depth comparative study of two different deep-learning models the Novel Hybrid Channel Attention Regression U-Net (ARU-Net) and Progressive Layered U-Net (PLU-Net) that build on the U-Net architecture as an enhancement to increase the segmentation accuracy of the BraTS 2021 dataset with respect to the T1, T1ce, T2, and FLAIR modalities. …”
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Comparison of classical, xgboost and neural network methods for parameter estimation in epidemic processes on random graphs by Ágnes Backhausz, Edit Bognár, Villő Csiszár, Damján Tárkányi, András Zempléni

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