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. …”
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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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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. …”
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Aligning large language models and geometric deep models for protein representation by Dong Shu, Bingbing Duan, Kai Guo, Kaixiong Zhou, Jiliang Tang, Mengnan Du

“…Our work examines alignment factors from both model and protein perspectives, identifying challenges in current alignment methodologies and proposing strategies to improve the alignment process. …”
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Dynamic processes in road designs highways by A. V. Smirnov, E. V. Andreyev, V. F. Ignatov

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Design and Implementation of Aspect-Based Sentiment Analysis Task by Ningyi Zhang

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

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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. …”
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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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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. …”
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Uncertainty Avoider Defuzzification of General Type-2 Multi-Layer Fuzzy Membership Functions for Image Segmentation by Sirwan Mohammad Kekshar, Sadegh Abdollah Aminifar

“…General type two fuzzy models are rarely used in practical problems due to their computational complexity, especially during fuzzification and defuzzification. …”
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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

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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. …”
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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. …”
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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%.…”
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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). …”
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Predicting Subsurface Layer Thickness and Seismic Wave Velocity Using Deep Learning: Knowledge Distillation Approach by Amir Moslemi, Anna Briskina, Jason Li, Zubeka Dang, Peyman Moghaddam

“…This study introduces a deep learning-based approach enhanced by knowledge distillation (KD) to predict subsurface layer thickness and seismic wave velocity. By leveraging pre-trained convolutional neural networks (CNNs) and Transformers as teacher models, we transfer knowledge to smaller, more efficient student models through multiple knowledge distillation strategies, including cross-architecture, multi-teacher, and self-distillation. …”
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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. …”
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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. …”
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