ABOUT THE WAYS OF APPLICATION OF NEURONET PROGRAMMING MODELS TO SOLVING OF THE PROBLEMS OF CLASSIFICATION OF OBJECTS “GATING SYSTEM—CASTING” by A. N. Chichko, T. V. Matjusbinets, O. A. Sachek, V. A. Ganzha

“…The possibility of using of neuronet models for automation of the gating systems development process is shown. …”
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A Spatiotemporal Prey-Predator Discrete Model and Optimal Controls for Environmental Sustainability in the Multifishing Areas of Morocco by Amine El Bhih, Youssef Benfatah, Soukaina Ben Rhila, Mostafa Rachik, Adil El Alami Laaroussi

“…In this work, we propose a multifishing area prey-predator discrete-time model which describes the interaction between the prey and middle and top predators in various areas, which are connected by their movements to their neighbors, to provide realistic description prey effects of two predators. …”
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Explicit iteration of an unbounded solution of turbulent flow model involving ψ-Riemann–Liouville fractional derivatives by Sabri T.M. Thabet, Imed Kedim, Bahaaeldin Abdalla, Thabet Abdeljawad

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Numerical Approximation of Compressible Two-Phase Six-Equation Model Using CE/SE and RKDG Schemes by Omar Rabbani, Saqib Zia, Munshoor Ahmed, Asad Rehman, Ilyas Khan, Mulugeta Andualem

“…In this article, two-phase compressible six equation flow model is numerically investigated. The six-equation model consists of velocity, pressure equations, and also relaxation terms. …”
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Publisher Correction: Preliminary investigation on the establishment of a new meibomian gland obstruction model and gene expression by Ming Sun, Huanmin Cheng, Zheng Yang, Jiangqin Tang, Shengshu Sun, Zhanglin Liu, Shaozhen Zhao, Lijie Dong, Yue Huang

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Utilizing wastewater surveillance to model behavioural responses and prevent healthcare overload during “Disease X” outbreaks by Wenxiu Chen, Wei An, Chen Wang, Qun Gao, Chunzhen Wang, Lan Zhang, Xiao Zhang, Song Tang, Jianxin Zhang, Lixin Yu, Peng Wang, Dan Gao, Zhe Wang, Wenhui Gao, Zhe Tian, Yu Zhang, Wai-yin Ng, Tong Zhang, Ho-kwong Chui, Jianying Hu, Min Yang

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A novel ensemble model for fall detection: leveraging CNN and BiLSTM with channel and temporal attention by Sarita Sahni, Sweta Jain, Sri Khetwat Saritha

“…To address these limitations, this study introduces an innovative attention-based ensemble model for fall detection; by integrating a convolutional neural network with channel attention and a bidirectional long short-term memory with temporal attention, the model prioritizes relevant information within time series data. …”
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Modified coherent synchrotron radiation point-kick model with self-consistent consideration of bunch length varying by Weihang Liu, Fancong Zeng, Yi Jiao

“…This limitation requires numerical corrections, which may reduce the general applicability of the model. We present a modified CSR-kick model that accounts for bunch length variations within dipoles. …”
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Machine Learning and hybrid models for assessing climate change impacts on runoff in the Kasilian catchment, Northern Iran by Farhad Hajian, Hossein Monshizadeh Naeen

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Evaluating Dose- and Time-Dependent Effects of Vitamin C Treatment on a Parkinson’s Disease Fly Model by Huynh Man Anh, Dao My Linh, Vuu My Dung, Dang Thi Phuong Thao

“…Thus, dUCH knockdown flies can be used as a model for screening of potential antioxidants for treating PD. …”
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Ant Colony Optimization Algorithm for Continuous Domains Based on Position Distribution Model of Ant Colony Foraging by Liqiang Liu, Yuntao Dai, Jinyu Gao

“…We design a continuous domain optimization algorithm based on the model and give the form of solution for the algorithm, the distribution model of pheromone, the update rules of ant colony position, and the processing method of constraint condition. …”
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A Novel Prediction Model for Car Body Vibration Acceleration Based on Correlation Analysis and Neural Networks by Shubin Zheng, Qianwen Zhong, Xiaodong Chai, Xingjie Chen, Lele Peng

“…This paper aims to create a prediction model for car body vibration acceleration that is reliable, effective, and close to real-world conditions. …”
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Ten Machine Learning Models for Predicting Preoperative and Postoperative Coagulopathy in Patients With Trauma: Multicenter Cohort Study by Xiaojuan Xiong, Hong Fu, Bo Xu, Wang Wei, Mi Zhou, Peng Hu, Yunqin Ren, Qingxiang Mao

“… BackgroundRecent research has revealed the potential value of machine learning (ML) models in improving prognostic prediction for patients with trauma. …”
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Risk Assessment of the Rockburst Intensity in a Hydraulic Tunnel Using an Intuitionistic Fuzzy Sets-TOPSIS Model by Xin-Bao Gu, Qi-Hong Wu, Ying Ma

“…To evaluate the intensity level of rockburst in hydraulic tunnels accurately, the intuitionistic fuzzy sets-TOPSIS model is first introduced. And, the decisive matrix is constructed. …”
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The Impact of Perception toward the Built Environment in Airport Access Mode Choice Using Hybrid Choice Modeling by Mahdi Yazdanpanah, Mansour Hadji Hosseinlou

“…For the estimation of the model, a hybrid discrete choice model was used to capture the latent variable, in addition to mode attributes and trip conditions, with 1795 SP observations. …”
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Development and Validation of a Risk Prediction Model for Ventricular Arrhythmia in Elderly Patients with Coronary Heart Disease by Ying Dong, Yajun Shi, Jinli Wang, Qing Dan, Ling Gao, Chenghui Zhao, Yang Mu, Miao Liu, Chengliang Yin, Rilige Wu, Yuqi Liu, Yang Li, Xueping Wang

“…We developed a risk prediction model by combining ECG and other clinical noninvasive indexes including biomarkers and echocardiology for VA in elderly patients with CHD. …”
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Numerical Analysis of Unsaturated Soil Slopes under Rainfall Infiltration Based on the Modified Glasgow Coupled Model by Guoqing Cai, Mengzi Li, Bowen Han, Kenan Di, Qianqian Liu, Jian Li

“…An ABAQUS UMAT subroutine was used for the secondary development of the established coupled hydromechanical constitutive model of unsaturated soil considering the effect of the microscopic pore structure. …”
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A Recognition Method of Athletes’ Mental State in Sports Training Based on Support Vector Machine Model by Yu Li

“…In order to verify the applicability of the method in this paper to the athlete subjects, several comparative models were used in the experiment to verify the performance of the used models. …”
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The Global Dynamics of an Age-Structured Hand-Foot-Mouth Disease Model with Saturation Incidence and Time Delay by Dongxue Yan, Mengqi Zhang, Jiashan Tang

“…The global dynamic behavior of an age-structured hand-foot-mouth disease (HFMD) model with saturation incidence and time delay is investigated in the work. …”
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Mechanical Damage Test and Model Study of Layered Composite Rock Based on Acoustic Emission and DIC Characteristics by Xianyin Qi, Zhen Yang, Shengwei Wang, Peng Fu

“…To study the mechanical damage characteristics of layered composite rocks, sandstones, and mudstones of deep tight reservoirs were used as the research objects, and layered composite class rocks were prepared by similar material model tests. Uniaxial compression tests were conducted and supplemented with AE (Acoustic Emission) system and DIC (Digital Image Correlation) system to obtain the physical and mechanical parameters such as strength and elastic modulus of the layered composite rocks. …”
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