Modeling study on the combustion of intumescent fire-retardant polypropylene

“…The heat transfer and burning behavior of the intumescent fire-retardant polypropylene were studied by the cone calorimeter at heat flux levels of 50 kW.m-2 to establish an essential physical model for the intumescence process in fire. A mathematical model for the burning process of fire-retardant intumescent polymer was put forward based on the assumption that an intumescent front existed between the char layer and virgin layer. …”
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Coupled Hydrodynamic and Biogeochemical Modeling in the Galician Rías Baixas (NW Iberian Peninsula) Using Delft3D: Model Validation and Performance by Adrián Castro-Olivares, Marisela Des, Maite deCastro, Humberto Pereira, Ana Picado, João Miguel Días, Moncho Gómez-Gesteira

“…Calibration and validation demonstrate the robust performance and reliability of the model in simulating critical biogeochemical processes, such as nutrient cycling and phytoplankton dynamics. …”
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Rheological model parameters determination based on laboratory studies by Shishkin E.A.

“…Taking into account the initial conditions, analytical expressions of the laws of deformation of the model under the action of a constant load and in the process of recovery are obtained. …”
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Vision-Language Model-Based Local Interpretable Model-Agnostic Explanations Analysis for Explainable In-Vehicle Controller Area Network Intrusion Detection by Jaeseung Lee, Jehyeok Rew

“…However, these models often function as black boxes, offering limited transparency into their decision-making processes, which hinders trust in safety-critical environments. …”
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MODELLING OF HEAT CONDUCTIVITY OF COMPOSITE MATERIALS WITH BALL INCLUSIONS by O. V. Pugachev, Z. T. Han

“…In a computational experiment, we simulate the process of heatconduction through a flat layer of the composite material, which has been heated on one side at the initial moment. …”
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Optimization of process parameters in Nano-particle mixed EDM of hardened die steel AISI H13 using RSM and GA by Tasfia Saba, AKM Nurul Amin, Sanjida Islam, Maisha Rahman Chaity, Noshin Tasnim Tuli, Adib Bin Rashid

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CoMSeC: A Comparative Analysis of Various Service Classification Techniques by Malabika Das, Ansh Sarkar, Sujata Swain

“…These embeddings are further processed using Dense Layers for dimensionality reduction and then used as inputs to different clustering algorithms. …”
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Use of computer vision analysis for labeling inattention periods in EEG recordings with visual stimuli by Dmitry Yu Isaev, Samantha Major, Kimberly L. H. Carpenter, Jordan Grapel, Zhuoqing Chang, Matias Di Martino, David Carlson, Geraldine Dawson, Guillermo Sapiro

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Enhancement of Additive Manufacturing Processes for Thin-Walled Part Production Using Gas Metal Arc Welding (GMAW) with Wavelet Transform by Abolfazl Foorginejad, Siamak Khatibi, Hojjat Torshizi, Sayyed Mohammad Emam, Hossein Afshari

“…Additive manufacturing encompasses technologies that produce three-dimensional computer-aided design (CAD) models through a layer-by-layer production process. …”
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Comparative Analysis of Hybrid Deep Learning Models for Electricity Load Forecasting During Extreme Weather by Altan Unlu, Malaquias Peña

“…Case Study 2 evaluates Hybrid CNN-Recurrent models with a fully connected dense layer model that incorporates a flattening step before the recurrent layers to increase the temporal learning process. …”
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A novel prediction method for low wind output processes under very few samples based on improved W‐DCGAN by Shihua Liu, Han Wang, Weiye Song, Shuang Han, Jie Yan, Yongqian Liu

“…Then, an LWOP sample generation model based on improved W‐DCGAN is established. The model integrates a long short‐term memory layer into the deconvolutional layer of the generator to enhance the temporal characteristics of generated samples. …”
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Neural network technology for identifying defect sizes in half-plane based on time and positional scanning by A. N. Solov'ev, A. V. Cherpakov, P. V. Vasil’ev, I. A. Parinov, E. V. Kirillova

“…MATLAB complex was used as a simulation of the application process (ANN). Results. A finite element model of a layered structure has been developed in a flat formulation of the problem in the ANSYS package. …”
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Research on Digital Media Art for Image Caption Generation Based on Integrated Transformer Models in CLIP by Lu Gao, Xiaofei Pang

“…Expanding upon this, we propose the Transformer Fusion CLIP (TFC) model, which minimizes parameter sizes and processing demands while getting remarkable assessment scores. …”
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Application of seismic refraction tomography for tunnel design in Santa Clara Mountain, San Juan, Argentina Application of seismic refraction tomography for tunnel design in Santa... by Imhof Armando Luis, Sánchez Manuel, Calvo Carlos, Martín Adriana

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Statistical Physics Modelling of Dye Adsorption on Modified Cotton by M. Khalfaoui, M.H.V. Baouab, R. Gauthier, A. Ben Lamine

“…Experimental adsorption isotherms for four anionic dyes (Acid Blue 25, Acid Yellow 99, Reactive Yellow 23 and Acid Blue 74) on to cationized cotton have been analyzed using a multilayer adsorption model. For such purpose, the double-layer model showed the best fit with a high correlation coefficient R 2 . …”
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Fast Parameter Identification of the Fractional-Order Creep Model by Shabnam Tashakori, Andres San-Millan, Vahid Vaziri, Sumeet S. Aphale

“…Still, parameter uncertainty in creep models is a challenge for real-time control. Aiming at a faster identification process, the proposed approach in this paper identifies the model parameters in two layers, i.e., one layer for the fractional-order exponent, corresponding to creep, and the other for the integer-order polynomial coefficients, corresponding to mechanical resonance. …”
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WRF Model Methodology for Offshore Wind Energy Applications by Evangelia-Maria Giannakopoulou, Regis Nhili

“…However, the use of any mesoscale model for wind energy applications requires a proper validation process to understand the accuracy and limitations of the model. …”
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3D tooth identification for forensic dentistry using deep learning by Hamza Mouncif, Amine Kassimi, Thierry Bertin Gardelle, Hamid Tairi, Jamal Riffi

“…The 2D images are subsequently processed using a recurrent neural network (RNN) architecture, which effectively detects complex patterns essential for accurate classification, while its capability to manage sequential data is further augmented by fully connected layers specifically designed for this purpose. …”
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Research on machine vision online monitoring system for egg production and quality in cage environment by Zhenlong Wu, Hengyuan Zhang, Cheng Fang

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Preparation of golden polyaniline and interpretation with a Lorentz model by Hiromasa Goto

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