Optimizing Deep Learning Models for Resource‐Constrained Environments With Cluster‐Quantized Knowledge Distillation by Niaz Ashraf Khan, A. M. Saadman Rafat

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Research on state monitoring and diagnosis models for multi-state systems based on Petri nets by Haohao Liu, Jinping Qi, Hong Feng, Mengxing Fan

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The reporting quality and methodological quality of dynamic prediction models for cancer prognosis by Peijing Yan, Zhengxing Xu, Xu Hui, Xiajing Chu, Yizhuo Chen, Chao Yang, Shixi Xu, Huijie Cui, Li Zhang, Wenqiang Zhang, Liqun Wang, Yanqiu Zou, Yan Ren, Jiaqiang Liao, Qin Zhang, Kehu Yang, Ling Zhang, Yunjie Liu, Jiayuan Li, Chunxia Yang, Yuqin Yao, Zhenmi Liu, Xia Jiang, Ben Zhang

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Modeling Population Mobility Flows: A Hybrid Approach Integrating a Gravity Model and Machine Learning by Jingjing Liu, Lei Xu, Le Ma, Nengcheng Chen

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MultiSEss: Automatic Sleep Staging Model Based on SE Attention Mechanism and State Space Model by Zhentao Huang, Yuyao Yang, Zhiyuan Wang, Yuan Li, Zuowen Chen, Yahong Ma, Shanwen Zhang

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Electrokinetic Treatment for Model Caissons with Increasing Dimensions by Eltayeb Mohamedelhassan, Kevin Curtain, Matt Fenos, Kevin Girard, Anthony Provenzano, Wesley Tabaczuk

“…Electrokinetic treatment has been known in geotechnical engineering for over six decades, yet, the technique is rarely used. …”
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Vision-Transformer Model Validation Image Dataset by Mathew G. Pelletier, John D. Wanjura, Greg A. Holt

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Automated Detection and Visualization of Local Kidney Images with Artificial Intelligence Models by Hawraa Saleh, Hadeel Kassim Aljobouri‬, Hani M. Amasha

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Empirical and diffusion models of rehydration process of differently dried pumpkin slices by A. Benseddik, A. Azzi, M.N. Zidoune, R. Khanniche, C. Besombes

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An Approximate Analytical View of Fractional Physical Models in the Frame of the Caputo Operator by Mashael M. AlBaidani, Abdul Hamid Ganie, Adnan Khan, Fahad Aljuaydi

“…The development of numerical or analytical solutions for fractional mathematical models describing specific phenomena is an important subject in physics, mathematics, and engineering. …”
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Estimating Firewater Runoff in Process Plants: an Analysis of Available Models for Retention Pond Sizing by Giuseppe Pino

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Bias-aware degradation models for reinforced concrete bridges based on XAI by Francesca Marsili, Filippo Landi, Rade Hajdin, Sylvia Kessler

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Credit Scoring Prediction Using Deep Learning Models in the Financial Sector by Xi Shi, Dingfen Tang, Yike Yu

“…To prevent overfitting and to promote better generalization, we incorporate adaptive regularization strategies that adjust penalization levels in response to validation metrics. We confront the issue of class imbalance by applying dynamic re-sampling and weight adjustment techniques, ensuring balanced model performance across varied data segments. …”
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Establishment Methods and Application Evaluation of Animal Models in Reproductive Toxicology Research by HUANG Dongyan, WU Jianhui

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Forecasting Insurance Company Commitments with Long Short-Term Memory Models by Negar Tehraniyazdi, Reza Vaezi, Saeed Setayeshi, Iman Raeesi Vanani

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Predictive Modeling the Turbidity Response in Al-Saray Water Distribution Network in Najaf Governorate/Middle of Iraq, Using PODDS Model by Abed Zahraa H., Jasem Hayder M., Mohammed Hayder S.

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Building and explaining data-driven energy demand models for Indian states by Kieran M R Hunt, Hannah C Bloomfield

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Revisiting model complexity: Space-time correction of high dimensional variable sets in climate model simulations by Cilcia Kusumastuti, Rajeshwar Mehrotra, Ashish Sharma

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Establishment of a Brackish Water Infiltration Model and Infiltration Parameter Correction Model Considering Solute Potential by Yu Liu, Ye Liu, Tingting Huang, Yimei He, Weibo Nie, Yongqiang Wang, Xiaoyi Ma

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Applying model-based recursive partitioning to improve pedestrian exposure models to support transportation safety analyses by Jakob Wiegand, Vikash Gayah

“…However, relationships between pedestrian exposure and explanatory features—such as population, infrastructure design, and land use context—might differ significantly with respect to the context of an individual location. To address this issue, this paper proposes a model-based recursive partitioning (MBRP) algorithm to develop pedestrian exposure models. …”
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