Effect of horizontal shift between fabric layers on the meso-scale-void formation in liquid composite molding by B. Yang, C. Y. Zhao, F. Y. Bi, S. B. Wang, C. Ma, S. L. Wang

“…Then based on the mathematical models of micro and meso flows, the three-dimensional void entrapment processes under different cladding flow modes are studied in detail, a mathematical model for the prediction of meso-scale-void formation is established. …”
Get full text

DESIGN OF PROCESS OF THERMAL NON-DESTRUCTIVE CONTROL NON-METAL MULTI-LAYERED ELEMENTS OF GLIDER OF AIR SHIP by N. P. Zaets, O. N. Karpenko, V. S. Oleshko, I. A. Chizhov

“…In the article a mathematical design and model design of process of thermal control are considered for the exposure of removing layer by layer of filler from edging of multi-layered construction of air ship. …”
Get full text

MATHEMATICAL MODELING OF HEATING RATE PRODUCT AT HIGH HEAT TREATMENT by M. M. Akhmedova, M. E. Akhmedov, A. F. Demirova, V. V. Pinyaskin

“…Methods of computing and mathematical modeling are all widely used in the study of various heat exchange processes that provide the ability to study the dynamics of the processes, as well as to conduct a reasonable search for the optimal technological parameters of heat treatment.This work is devoted to the identification of correlations among the factors that have the greatest effect on the rate of heating of the product at hightemperature heat sterilization in a stream of hot air, which are chosen as the temperature difference (between the most and least warming up points) and speed cans during heat sterilization.As a result of the experimental data warming of the central and peripheral layers compote of apples in a 3 liter pot at high-temperature heat treatment in a stream of hot air obtained by the regression equation in the form of a seconddegree polynomial, taking into account the effects of pair interaction of these parameters.…”
Get full text

Is There a Scalar Atmospheric Surface Layer Within a Convective Boundary Layer? Implications for Flux Measurements by Heping Liu, Cheng Liu, Yanzhao Zhou, Qianyu Zhang, Ankur R. Desai, Khaled Ghannam, Jianping Huang, Gabriel G. Katul

Get full text

SPICE-Compatible Degradation Modeling Framework for TDDB and LER Effects in Advanced Packaging BEOL Based on Ion Migration Mechanism by Shao-Chun Zhang, Sen-Sen Li, Ying Ji, Ning Yang, Yuan-Hao Shan, Li Hong, Hao-Gang Wang, Wen-Sheng Zhao, Da-Wei Wang

“…The proposed model is rooted in the fundamental physics of metal ion migration and the evolution of conductive filaments (CFs) within the dielectric layer under operational stress conditions. …”
Get full text

Enhancing dental model accuracy through optimized vat photopolymerization additive manufacturing parameters by Clément Tien, Camille Jean, Lucas Poupaud, Floriane Laverne, Frédéric Segonds

“…This study investigates the key additive manufacturing (AM) process parameters that influence the dimensional accuracy of dental models produced using the vat photopolymerization Digital Light Processing (DLP) technology. …”
Get full text

The Comparison of Activation Functions in Feature Extraction Layer using Sharpen Filter by Oktavia Citra Resmi Rachmawati, Ali Ridho Barakbah, Tita Karlita

“… Activation functions are a critical component in the feature extraction layer of deep learning models, influencing their ability to identify patterns and extract meaningful features from input data. …”
Get full text

Hybrid physical model and status data-driven approach for quality-reliable digital light processing 3D printing by Lidong Zhao, Xueyun Zhang, Zhi Zhao, Limin Ma, Lifang Wu

“…Analyzing the collected data provides both status and anomaly information, enabling in-situ repair strategies to address abnormalities with minimal disruption to the printing process. Additionally, an Extended Kalman Filter integrates status data with physical models to dynamically optimise printing parameters. …”
Get full text

TSAS—YOLOv8: An Optimization Detection Model for Capturing Small Target Features and Processing Key Information by Yongbo Yuan, Linlin Cao

Get full text

GPU Accelerating Algorithms for Three-Layered Heat Conduction Simulations by Nicolás Murúa, Aníbal Coronel, Alex Tello, Stefan Berres, Fernando Huancas

“…In this paper, we consider the finite difference approximation for a one-dimensional mathematical model of heat conduction in a three-layered solid with interfacial conditions for temperature and heat flux between the layers. …”
Get full text

Regression Model Employing Spiking Neural Network for Bio-Signal Analysis With Hardware Integration by Choongseop Lee, Geunbo Yang, Jaewoo Baek, Yuntae Park, Mingyu Cheon, Jongkil Park, Cheolsoo Park

Get full text

Flat U-Net: An Efficient Ultralightweight Model for Solar Filament Segmentation in Full-disk Hα Images by GaoFei Zhu, GangHua Lin, Xiao Yang, Cheng Zeng

Get full text

Use of Neuro-Net Modeling for Forecasting Key Finance Figures at Trade Enterprises by A. R. Baghirzade

Get full text

Synergistic Framework for Fuel Cell Mass Transport Optimization: Coupling Reduced-Order Models with Machine Learning Surrogates by Shixin Li, Qingshan Liu, Yisong Chen

“…Facing the complex coupled process of thermal mass transfer and electrochemical reaction inside fuel cells, the development of a one-dimensional model is an efficient solution to study the influence of mass transfer property parameters on the transfer and reaction process, which can effectively balance the computational efficiency and accuracy. …”
Get full text

Experimental and Numerical Study on Dynamic Porosity of the Flow Layer During the Paddy Grain Convective Drying Process by Bin Li, Chuandong Liu, Zebao Li, Yuelang Liu, Haoping Zhang, Xuefeng Zhang, Cheng Lv, Zhiheng Zeng

“…Porosity is the key factor affecting a medium’s tortuosity, effective evaporation area coefficient, and ventilation resistance, and further affects the drying efficiency, energy consumption, and drying uniformity in the drying process. To reveal the dynamic variation characteristics of porosity in paddy flow layer, an air convection drying apparatus was established and a mathematical porosity model was established based on response surface methodology. …”
Get full text

PaleAle 6.0: Prediction of Protein Relative Solvent Accessibility by Leveraging Pre-Trained Language Models (PLMs) by Wafa Alanazi, Di Meng, Gianluca Pollastri

“…Inspired by the remarkable success of NLP techniques, this study leverages pre-trained language models (PLMs) to enhance RSA prediction. We present a deep neural network architecture based on a combination of bidirectional recurrent neural networks and convolutional layers that can analyze long-range interactions within protein sequences and predict protein RSA using ESM-2 encoding. …”
Get full text

Research on Key Problems in the Construction Process of a Single-layer Aluminum Alloy Lattice Shell Structure by HAO Xianzhe, WU Qiyu, YAN Yajie, CHEN Ran, WANG Shigui, GUO Yu, ZHANG Zeping

“…[Methods] According to the conditions of the construction site, FE model of construction process was established and the comparative analysis of four kinds of jacking point layout scheme were carried out. …”
Get full text

Determination of optimal dietary calcium levels under different zinc sources in Jing Tint 6 layer chicks from hatch to day 14 by Chengyan Gong, Hongpeng Shi, Shuan Liu, Xinyi Gao, Shoujun Zhang, Hao Liu, Dan Wan, Yulong Yin

Get full text

TrBot: A Turkish Deep Learning Chatbot Utilizing Seq2Seq Model by Bilal Babayigit, Habibelahi Rahmani, Mohammed Abubaker

“…This study presents TrBot, a general-purpose Turkish chatbot that utilizes deep learning techniques, specifically a seq2seq model with Long Short-Term Memory (LSTM) layers. …”
Get full text

High-fidelity surrogate modelling for geometric deviation prediction in laser powder bed fusion using in-process monitoring data by Zhengrui Tao, Mirko Sinico, Bey Vrancken, Wim Dewulf

“…Visualisation techniques (Grad-CAM and attention maps) highlight critical regions and layers, enhancing model interpretability and demonstrating its potential for in-situ surface quality control.…”
Get full text