Revealing the influence of the physical expansion process of Khorram Abad city on changes in surface albedo and boundary layer height by farzaneh ahmadi, Dariush Yarahmadi, Hamid Mirhashemi

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Rheological processes in the slope massifs of the city of Kyiv by Максим Рева, Олександр Лисенко, Дмитро Чомко

“…The considered solution model of the rheological process cannot be solved without the coefficient viscosity of soil. …”
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Modeling of laser beam absorption on rough surfaces, powder beds and sparse powder layers by Giandomenico Lupo, Martin Niemann, Christoph Goniva, Wojciech Szmyt, Xiao Jia, Vladyslav Turlo

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A multi-layer bioinspired design with evolution of shish-kebab structures induced by controlled periodical shear field by J. Zhang, K. J. Liu, H. Liu, X. Y. Qian, Y. Zhang, T. Wang, K. Z. Shen

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Intrinsic Dissolution Modeling: Interdependence Between Dissolution Rate, Solubility, and Boundary Layer Thickness by Amelie Marie Mattusch, Gerhard Schaldach, Jens Bartsch, Markus Thommes

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Modelling of vibration-damping properties of elastic-viscoplastic layers of the roadbed. Problem statement 1 by V. M. Bel’Kov

“…When analyzing the interaction between the car and the railway, typically the Kelvin - Voigt body is used and the roadbed is represented as a certain adjusted concentrated mass participating in vibrations with sleepers and rails. But this model is inapplicable for layered systems that do not have, in principle, concentrated masses. …”
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Modelling of vibration-damping properties of elastic-viscoplastic layers of the roadbed. Problem statement 2 by V. M. Bel’Kov

“…It was noted that the Kelvin-Vogt model, currently used for modeling, is not applicable for layered systems that do not have, in principle, concentrated masses. …”
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Just a Single-Layer CNN for Stochastic Modeling: A Discriminator-Free Approach by Evangelos Rozos

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Assessing Water Governance Gaps with a Four-Layer Governance Model and OECD Principles by Taghi Mahdavi

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Mathematical modelling and morphological properties of thin layer oven drying of Vernonia amygdalina leaves by O.R. Alara, N.H. Abdurahman, O.A. Olalere

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Evaluation of the elastic modulus of pavement layers using different types of neural networks models by M. M.M. Elshamy, A. N. Tiraturyan, E. V. Uglova

“…To appreciate the efficiency of every model, we used the constructed ANN models for predicting the elastic modulus values for 25 new pavement sections that were not used in the process of training, validation, or testing to ensure its suitability. …”
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Efficient Top-<i>k</i> Spatial Dataset Search Processing by Jie Sun, Hua Dai, Mingyue Zhang, Hao Zhou, Pengyue Li, Geng Yang, Lei Chen

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Determination of Dynamic Stresses and Displacements under the Action of an Impact Load on a Two-Layer Structure during the Indentation Process by N. E. Babushkina, A. A. Lyapin

“…The objective of the presented work is to consider indentation for a two-layer sample and determine the sensitivity of the top layer to the strength of the substrate. …”
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Modelling of a hybrid culture system with a stationary layer of liquid perfluorochemical applied as oxygen carrier by Pilarek Maciej, Dąbkowska Katarzyna

“…The Damköhler number which relates the growth rate to the mass transfer effects has been used to appraise the regime (i.e. diffusion-limited or kinetics) of the whole process. The proposed model predicted accurately previously published data on the submerged batch cultures of Nicotiana tabacum BY-2 heterotrophic cells performed in a culture system supported with a stationary layer of hydrophobic perfluorodecalin as a liquid O2 carrier. …”
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Developing a novel layer network structure for a LSTM model to predict mean monthly river streamflow by Amin Gharehbaghi, Redvan Ghasemlounia, Shahaboddin Daneshvar, Farshad Ahmadi

“…Abstract In this research, novel innovative DDN layer network structures by hybridizing double-LSTM model with an addition layer (+) (i.e., 2LSTM and 2LSTM + layer network models) are developed purposefully to enhance prediction performance of the mean monthly Maroon River streamflow (MRSF m ) in Iran from October 1987 to September 2017. …”
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MATHEMATICAL MODELING OF THE THERMOPHYSICAL PROCESSES IN SEMICONDUCTOR THERMOELECTRIC CONVERTERS by D. N. Kobzarenko

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Turbulent Mechanisms for the Deep Convective Boundary Layer in the Taklimakan Desert by Lu Zhang, Hongsheng Zhang, Qianhui Li, Wei Wei, Xuhui Cai, Yu Song, Ali Mamtimin, Minzhong Wang, Fan Yang, Yu Wang, Chenglong Zhou

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Construction Method of CNC Machine Tool Digital Twin Model Based on the Four-Layer Framework by Fengye Pei, Suifan Chen, Qipeng Li, Shixiong Guo, Yuyuan Xi, Pengju Huang

“…Computer numerical control (CNC) machine tool as an important equipment of intelligent manufacturing, due to its complex structure and complicated working conditions, DT technology is troubled by model consistency in application. To construct the DT model more effectively and accurately, a four-layer modeling framework is proposed based on the working characteristics of CNC machine tools, including requirement layer, representation layer, interaction layer and implementation layer. …”
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Mathematical Modelling of Thin Layer Drying of Alfalfa (Medicago sativa L.) Varieties at Different Temperatures by Muhammed Taşova, Hakan Polatcı, Mahir Özkurt

“…In addition, the most suitable thin layer drying models were determined, which are important in controlling the drying processes and developing new product-specific dryers. …”
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Four-layer five-dimensional closed-loop model architecture for intelligent operational mission planning by WANG Wending, LIU Xiaohu, WANG Penglin, DONG Shuqin, ZHOU Shengnan

“…Then, based on the closed-loop process system, a four-layer five-dimensional closed-loop model architecture for intelligent operational mission planning is put forward. …”
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