Optimal Configuration of Physical Process Parameterization Scheme Combination for Simulating Meteorological Variables in Weather Research and Forecasting Model: Based on Orthogonal... by Zhengming Li, Hanqing Wang, Xinyu Liu, Da Yuan

“…To obtain the optimal combination of physical process parameterization schemes from the planetary boundary layer (PBL), land surface (LSF), microphysical (MP), long-wave (LW), and short-wave (SW) radiation processes of the WRF model for simulating the near-surface meteorological variables near a nuclear power plant in Sanshan Town, Fuqing City, Fujian Province, China on 4 June 2019 were observed. …”
Get full text

The Analysis of Process of Crushing in the Vibrocavitational Homogenizer by E. V. Flisyuk, S. S. Belokurov, I. A. Narkevich, O. M. Flisyuk, D. Yu. Ivkin

“…Therefore, in this work, for the mathematical description of particle grinding, a model is used that takes into account the kinetic features of the process under consideration. …”
Get full text

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. …”
Get full text

Bidirectional decision analysis of online Ride-hailing enterprises based on fuzzy theory and cloud model by Mingliang Yu, Gengsheng Zhao, Zhanxin Ma, Dongping Pu

“…To solve this problem, a hybrid decision method based on fuzzy analytic hierarchy process (F-AHP) and two-dimensional cloud model is constructed, aiming to help service-oriented enterprises represented by online ride-hailing (ORH) optimize their strategies to adapt to the changing market. …”
Get full text

Dynamic processes in road designs highways by A. V. Smirnov, E. V. Andreyev, V. F. Ignatov

Get full text

Designing a System Architecture for Dynamic Data Collection as a Foundation for Knowledge Modeling in Industry by Edmund Radlbauer, Thomas Moser, Markus Wagner

“…This study develops and implements a scalable system architecture for dynamic data acquisition and knowledge modeling in industrial contexts. The objective is to efficiently process large datasets to support decision-making and process optimization within Industry 4.0. …”
Get full text

The Loyalty of Travel Agency Clients. An Empirical Study by Izabela Michalska-Dudek

“… The article presents a client loyalty model which may be used in the process of managing an optimum portfolio of clients by means of identifying and selecting key clients of a tourist enterprise. …”
Get full text

Local and global sensitivity analysis for a prediction model of nitrogen loss in Southern China’s paddy fields via HYDRUS-1D by Shuhuai Wang, Juxiu Tong, Chen Huang

“…Abstract Nitrogen loss in paddy fields has been widely recognized as a significant contributor to nonpoint source pollution. Predicting this process through modeling is crucial, yet model parameters always carry uncertainty. …”
Get full text

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. …”
Get full text

Automated vacuum drying kinetics, thermodynamics, and economic analysis of sage leaves by Nabil Eldesokey Mansour, Khaled A. Metwally, Aml Abubakr Tantawy, Ahmed Elbeltagi, Ali Salem, Ahmed Z. Dewidar, Abdelaziz M. Okasha, Moustapha Eid Moustapha, Abdallah Elshawadfy Elwakeel

“…The Page model was identified as the most suitable for describing the thin-layer drying behavior. …”
Get full text

Integrated GBR–NSGA-II Optimization Framework for Sustainable Utilization of Steel Slag in Road Base Layers by Merve Akbas

“…This study proposes an integrated, machine learning-based multi-objective optimization framework to evaluate and optimize the utilization of steel slag in road base layers, simultaneously addressing economic costs and environmental impacts. …”
Get full text

Thermochemical response of TiO2 upon heating with CaMg2 reductant: Experimental findings and theoretical modeling by Kyu Seok Lim, Hayk Nersisyan, Seul Ki Han, Kyoung-Tae Park, Hoyoung Suh, Jong Hyeon Lee

Get full text

Path Planning Method for Wire-Based Additive Manufacturing Processes by Alexey Shcherbakov, Alexander Gudenko, Andrey Sliva, Daria Gaponova, Artem Marchenkov, Alexey Goncharov

“…The relevance of creating specialized computer programs that convert a virtual 3D model of an object into machine code (G-code) for controlling the process of 3D printing products from wire raw materials is substantiated. …”
Get full text

An edge streaming data processing framework for autonomous driving by Hang Zhao, LinBin Yao, ZhiXin Zeng, DongHua Li, JinLiang Xie, WeiLing Zhu, Jie Tang

“…The proposed framework is implemented on top of Spark Streaming, which builds up a gray model based traffic flow monitor, a traffic prediction orientated prediction layer and a fuzzy control based Batch Interval dynamic adjustment layer for Spark Streaming. …”
Get full text

Multi-layer obstacle-avoiding rectilinear steiner minimal tree algorithm based on deep reinforcement learning by Xing Huang, Yuhan Zhu, Yanbo Xu, Yajun Xie, Genggeng Liu

“…In Very Large-Scale Integration (VLSI) routing, the rectilinear Steiner minimal tree is an excellent interconnect model for multi-pin nets. However, modern VLSI designs require multi-layer obstacle-avoiding routing, where wires must traverse multiple metal layers while avoiding obstacles to ensure connectivity and performance. …”
Get full text

Processing and Quality Evaluation of Additive Manufacturing Monolayer Specimens by Christiane Wendt, Severo Raúl Fernández-Vidal, Álvaro Gómez-Parra, Moisés Batista, Mariano Marcos

“…This work proposes a methodology for the design, manufacturing, and quality evaluation of specimens manufactured by Fused Layer Modeling that are composed of only one layer (so-called monolayers). …”
Get full text

Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis by Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Siamak Pedrammehr, Adnan Anwar, Hailing Zhou, Lei Wei, Asim Bhatti, Sam Oladazimi, Burhan Khan, Saeid Nahavandi

“…The primary objective is to assess how incorporating LSTM layers enhances the performance of CNNs. The experimental results presented in this paper demonstrate that the integration of LSTM layers with convolutional layers results in an increase in the accuracy of deep learning models from 97.40% to 97.92%.…”
Get full text

Mapping curvature domains in human V4 using CBV-sensitive layer-fMRI at 3T by Elisa Zamboni, Elisa Zamboni, Isaac Watson, Isaac Watson, Rüdiger Stirnberg, Laurentius Huber, Elia Formisano, Rainer Goebel, Aneurin J. Kennerley, Antony B. Morland, Antony B. Morland, Antony B. Morland

“…The work advances our understanding of the role of mid-level area V4 in human processing of curvature and shape features.ImpactKnowledge of how the functional architecture and hierarchical integration of local contours (curvature) contribute to formation of shapes can inform computational models of object recognition. …”
Get full text

The role of root dynamics on the climate sensitivity of ecohydrological processes of over- and understory in a semi-arid groundwater-dependent ecosystem by Qiyue Liu, Ana P. Barros

“…The intertwined water use strategies of mesquites and shrubs expressed by the root water uptake dynamics determine ecosystem response aboveground under more extreme climate conditions, highlighting the importance of modeling root architecture dynamics and co-adaptive ecohydrological processes in predicting ecosystem responses to climate change.…”
Get full text

A strategy for network multi-layer information fusion based on multimodel in user emotional polarity analysis by Ronghua Wang, Peng Zhuang

Get full text