Model reduction of structural mechanical response in the time domain by Xin Yan, Xinyu Guo, Ningya He, Jinglong Shi, Daquan Zhao

“…A hyperparameter tuning and optimization procedure for neural network models is proposed, exploring batch size, hidden layer type, activation function, cells number, epochs number, and number of hidden layers. …”
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Substantiation of the Operating Parameters of Walnut Drying Equipment by Hryhorij Kaletnik, Oleg Tsurkan, Anatoly Spirin, Nataliya Gudzenko, Dmytro Prysiazhniuk, Andrii Didyk

“…According to the authors’ developments, the most effective are convective dryers, which can intensify the process by vibrating the material layer, which increases the heat transfer ratio. …”
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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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Decontamination of crystal violet using nanocomposite adsorbent based on pine cone biochar modified with CoFe2O4/Mn-Fe LDH by Seyed Jamaleddin Peighambardoust, Shima Abdollahian Aghbolagh, Rauf Foroutan, Naeimeh Sadat Peighambardoust

“…Isotherm studies revealed that the Langmuir model provided the best fit for the experimental data, suggesting a monolayer adsorption process on homogeneous surfaces. …”
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Experimental Study on Heat Transfer Process Optimization of Heat Storage Wall of the Heat Pump in Tunnel Surrounding Rock in the Cold Region by Yafei Li, Dianwei Qi, Hongchao Yan, Jiaqi Zhang

“…Inspired by this system and the active and passive coupling building technology, a heat recovery type of heat storage wall model is proposed in this research. By describing the heat transfer process regarding the heat recovery type of heat storage wall and carrying out the experimental research, its feasibility and effectiveness are verified. …”
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The Transitional Justice Models and the Justifications of Means of Dealing with the Past by Michal Krotoszynski

“…Seeing transitional justice as an ontologically complex structure, the article aims to relate the legal instruments that concentrate on past abusers to the axiological layer of settling accounts with the past. In order to do so, three basic models of transitional justice – a retribution model, a historical clarification model and a thick line model – all based on the measures implemented during democratic change, are presented. …”
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Modeling of Blood Flow Dynamics in Rat Somatosensory Cortex by Stéphanie Battini, Nicola Cantarutti, Christos Kotsalos, Yann Roussel, Alessandro Cattabiani, Alexis Arnaudon, Cyrille Favreau, Stefano Antonel, Henry Markram, Daniel Keller

“…We developed a framework with three key components: coupling between the vasculature and synthesized astrocytic morphologies, a fluid dynamics model to compute flow in each vascular segment, and a stochastic process replicating the effect of astrocytic endfeet on vessel radii. …”
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3D-SCUMamba: An Abdominal Tumor Segmentation Model by Juwita, Ghulam Mubashar Hassan, Amitava Datta

“…Existing deep learning models typically adopt encoder-decoder architectures integrating convolutional layers with global dependency modeling to capture broader contextual information around tumors. …”
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Investigation of process parameter influence on the mechanical properties of FDM-printed PEEK-carbon fiber composites using RSM and Taguchi methods by Muhammad Nasir Bashir, Joon Sang Lee, Mohammed A. Bou-Rabee, Heba G. Mohamed, Ding Zhou, Irfan Anjum Badruddin, M.A. Fazal, Zafar Masood

“…The models can improve the mechanical performance of FDM printed parts by optimising process parameters across multiple objectives. …”
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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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Understanding and detection of process instabilities in wire arc directed energy deposition additive manufacturing using meltpool imaging and machine learning by André Ramalho, Anis Assad, Benjamin Bevans, Fernando Deschamps, Telmo G. Santos, J.P. Oliveira, Prahalada Rao

“…These signatures were used in a machine learning model trained to autonomously detect process instabilities. …”
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Study of Electromagnetic and Thermal Transients in a High-temperature Superconducting Transformer during a Short Circuit by Manusov V.Z., Ivanov D.M.

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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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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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Benchmarking the high conductive two-dimensional layered structured NbS2, ZrS2, ReS2 and NbSe2 materials with zero energy bandgap (E g) for photocatalytic application: a DFT study by Muhammad Hasnain Jameel, Aqeela Yasin, Alaa Nihad Tuama, Abdullah Hasan Jabbar, Samreen Kousar, Mohd Zul Hilmi Mayzan, Muhammad Sufi Roslan, Arman Nawaz, Khaled Althubeiti, Mohammed Aljohani

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LLM GPT-3.5 study for sentiment analysis across Utkarsh server, Ohio supercomputer, Google Colab and PC by Lavanya B N, Anitha Rathnam K V, Abhishek Appaji, Kiran K, P. Deepa Shenoy, Venugopal K R

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CROWTH OF THE FAST ICE AND ITS INFLUENCE ON THE FREEZING OF BOTTOM SEDIMENTS IN THE BUOR-KHAYA BAY COASTAL ZONE, LAPTEV SEA by P. V. Bogorodskii, A. S. Grubiy, V. Yu. Kustov, A. P. Makshtas, L. A. Sokolova

“…These data served a basis for development of a conceptual thermodynamic model of seasonal freezing of the sea water layers and underlying bottom sediments in the sea-shore zone. …”
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Risk Indices Assessment of Different Cyber-Attack Actions for an SDN-Enabled IEC 61850 Substation Using Markov Decision Process by Zhihao Wu, Sugandh Seth, Haiyu Li, Zhirun Hu, James Yu

“…The proposed approach uses 1) the Purdue Model to model attack scenarios using cyber-physical devices at different layers based on typical protection control device arrangement in a substation and 2) the Markov Decision Process (MDP) model to assess cybersecurity risk indices for the substation. …”
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A Formal Model for the Business Innovation Case Description by Masaaki Kunigami, Takamasa Kikuchi, Takao Terano

“…In case method learning, class discussions are based on cases that summarize actual business processes. This paper presents a model to re-description formally business innovation cases written in natural language. …”
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Deep Learning-Based Music Quality Analysis Model by Jing Jing

“…The shallow learning features and deep learning features are seamlessly combined into the SVM model for music quality modeling, based on which differential voting mechanisms are leveraged to realize the fusion of decision-making layers. …”
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