Approximate Model Technology Application in EMUs Dynamics Analysis by YANG Yang, LI Fu, LI Jincheng, HUANG Yunhua

“…The results showedthat RBF neural network model had a good performance in fitting the vehicle dynamic so that it could meet the engineering application.Eventually, the feasibility of the technique of EMUs dynamic approximate model was proved by demonstrating the practical applicationof the approximate model.…”
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Hybrid Network Defense Model Based on Fuzzy Evaluation by Ying-Chiang Cho, Jen-Yi Pan

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Financial component of the business model in the function of sustainable operations by Jovanović Zoran, Laković Duško M.

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Truck Axle Weights and Interaxle Spacings from Traffic Surveys in Mexican Highways by Adrián-David García-Soto, Adrián Pozos-Estrada, Alejandro Hernández-Martínez, Jesús-Gerardo Valdés-Vázquez

“…In structural and bridge engineering, the axle weights and interaxle spacings of heavy trucks are useful for assessing the capacity of existing bridges, developing live load models, and other issues. …”
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A Stepwise Conflict Analysis Using the Graph Model by Raí dos Santos Mota, Maisa Mendonça Silva, Leandro Chaves Rêgo

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A CAE model-based secure deduplication method by Chunbo Wang, Guoying Zhang, Hui Qi, Bin Chen

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PNN-based Rockburst Prediction Model and Its Applications by Yu Zhou, Tingling Wang

“…Rock burst is one of main engineering geological problems significantly threatening the safety of construction. …”
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On Laterally Perturbed Human Stance: Experiment, Model, and Control by Dan Suissa, Michael Günther, Amir Shapiro, Itshak Melzer, Syn Schmitt

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Microscopy image reconstruction with physics-informed denoising diffusion probabilistic model by Rui Li, Gabriel della Maggiora, Vardan Andriasyan, Anthony Petkidis, Artsemi Yushkevich, Nikita Deshpande, Mikhail Kudryashev, Artur Yakimovich

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Dynamic Modeling of Stress-Induced Defect Expansion in VCSELs by Yuqi Zhang, Xun Li, Jia Zhao

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Travel route recommendation with a trajectory learning model by Xiangping Wu, Zheng Zhang, Wangjun Wan

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The Modeling of the Probable Behaviour of Insider Cyber Fraudsters in Banks by Hanna Yarovenko, Aleksandra Kuzior, Alona Raputa

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Forecasting water quality indices using generalized ridge model, regularized weighted kernel ridge model, and optimized multivariate variational mode decomposition by Marjan Kordani, Mohsen Bagheritabar, Iman Ahmadianfar, Arvin Samadi-Koucheksaraee

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The Tropical Basin Interaction Model Intercomparison Project (TBIMIP) by I. Richter, P. Chang, P.-G. Chiu, G. Danabasoglu, T. Doi, D. Dommenget, G. Gastineau, Z. E. Gillett, A. Hu, T. Kataoka, N. S. Keenlyside, N. S. Keenlyside, F. Kucharski, Y. M. Okumura, W. Park, M. F. Stuecker, A. S. Taschetto, C. Wang, S. G. Yeager, S.-W. Yeh

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Large Language Models: A Structured Taxonomy and Review of Challenges, Limitations, Solutions, and Future Directions by Pejman Peykani, Fatemeh Ramezanlou, Cristina Tanasescu, Sanly Ghanidel

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Digital Humanities & Large Language Models: Practice and Research in Semantic Retrieval of Ancient Documents by Haoxian WANG, Ziming ZHOU, Feifei DING, Chengfu WEI

“…In addition, the text processed by the model and the original text are transformed into semantic vectors, which are then stored in an efficient vector engine for rapid retrieval. …”
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Hydrogen leakage localization technology in hydrogen refueling stations combining RL and hidden Markov models by Jun Wang, Lei Wang, Ding Wang, Xiang Yu

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Application of Large Language Models in the AECO Industry: Core Technologies, Application Scenarios, and Research Challenges by Guozong Zhang, Chenyuan Lu, Qianmai Luo

“…As projects in the architecture, engineering, construction, and operations (AECO) industry grow in complexity and scale, there is an urgent need for more effective information management and intelligent decision-making. …”
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Systematic scoping review of external validation studies of AI pathology models for lung cancer diagnosis by Soumya Arun, Mariia Grosheva, Mark Kosenko, Jan Lukas Robertus, Oleg Blyuss, Rhian Gabe, Daniel Munblit, Judith Offman

“…Although most studies used restricted datasets, methodological issues relevant to the applicability of models in real-world settings included small and/or non-representative datasets, retrospective studies and case-control studies without further real-world validation. …”
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The urban heat Island effect: A review on predictive approaches using artificial intelligence models by Ali Najah Ahmed, Nouar AlDahoul, Nurhanani A. Aziz, Y.F. Huang, Mohsen Sherif, Ahmed El-Shafie

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