Credit Default Risk Measurement and Statistical Analysis Based on Improved GRU Model by Zhifei Yi

“…In terms of the total time required for feature extraction, model training, and testing, the new model only takes 59 ms, which is 57 ms faster than the conventional Logistic algorithm, demonstrating the potential application of the new model in real‐time risk monitoring. …”
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A Multidimensional Evaluation-Based Reinterpretation of the Cultural Heritage Value of Blue-and-White Porcelain Patterns in Contemporary Design by Jiajia Zhao, Qian Bao, Ziyang Huang, Ru Zhang

“…A hybrid evaluation framework is proposed, combining Grey System Theory and the Fuzzy Evaluation Method to quantitatively analyze 40 representative patterns across five key dimensions: cultural symbolism, esthetic value, communicative potential, modern applicability, and sustainability. …”
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Combinatorial Price Offer for a Wind Turbine with Flexible Load Considering the Uncertainty to Increase the Benefit of Wind Turbine by Behnam Sobhani, Sadegh Afzal

“…Modeling is done using the MATLAB application to calculate Spain's wind and price information in Spain, and the performance output results are demonstrated thoroughly.…”
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Unveiling Hidden Dynamics in Air Traffic Networks: An Additional-Symmetry-Inspired Framework for Flight Delay Prediction by Chao Yin, Xinke Du, Jianyu Duan, Qiang Tang, Li Shen

“…In a key innovation, the extracted features are fed into a Fuzzy Broad Learning System (FBLS)—marking the first application of this method in the field of flight delay prediction. …”
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Prediction of Equipment Failure Rates in Power Distribution Networks based on Machine-learning Method by Rita Jamasheva, Noor Hanoon Haroon, Ahmed Read Al-Tameemi, Israa Alhani, Ali Murad Khudadad, Bahira Abdulrazzaq Mohammed, Ali H. O. Al Mansor, Mustafa Asaad Hussein

“…This paper explores the application of a machine learning approach to predict equipment failure rates in power distribution networks, motivated by the significant impact of power outages on citizens' daily lives and the economy. …”
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Assessment and Diagnosis of the water resources carrying capacity in the Huaihe River basin of Anhui Province by Hui Zhang, Tianru Ma, Zhengwei Pan, Lan Yang, Dejian Wang, Guangye Yu, He Li, Kezhi Zhang

“…This study aims to expand the evaluation theory and application methods of water resources carrying capacity (WRCC) and to measure regional WRCC in multiple dimensions. …”
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A Novel Approach on Decision Support System Based on the Aczel-Alsina Aggregation Operators and Their Applications to Supplier Selection Problems by Yong-Long Wang, Ebenezer Bonyah, Mashael Khayyat, Zubair Ahmad, Muhammad Shakeel, Waris Khan

“…We construct some induced interval-valued intuitionistic trapezoidal fuzzy Aczel-Alsina ordered weighted averaging/geometric (I-IVITrFAAOWA/G) operator, induced interval-valued intuitionistic trapezoidal fuzzy Aczel-Alsina hybrid averaging/geometric (I-IVITrFAAHA/G) operator. …”
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Evaluation framework for domain-specific digital twin platforms by Zhao Tang, Dayuan Zhuang, Jianjun Zhang

“…To address this gap, this paper proposes a comprehensive evaluation framework for DT platforms, with a focus on Domain-Specific applications. The framework uses the Best-Worst Method and Fuzzy Comprehensive Evaluation method (BWM-FCE) to assess the performance, user experience, and economic effects of DT platforms. …”
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An autonomous vehicles’ test case extraction method: Example of vehicle-to-pedestrian scenarios by Zhengping Tan, Qian Wang, Wenhao Hu, Pingfei Li, Liangliang Shi, Hao Feng

“…However, this approach may not fully capture the criticality of the generated scenarios, as it tends to emphasize the statistical characteristics of the data rather than its real-world applicability. This paper proposes a novel method to enhance scenario adaptation by integrating quantization weights with a new clustering algorithm. …”
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Human Behavior Analysis Using Radar Data: A Survey by Patrycja Miazek, Alicja Zmudzinska, Pawel karczmarek, Adam Kiersztyn

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Decision-Making Modeling in Agro-Food Systems Using Type-2 Interval-Valued Linguistic Complex Neutrosophic Sets by R. K. Saini, Florentin Smarandache, Moh. Kasim, Ashik Ahirwar

“…Interval complex membership functions incorporating phase angles (e.g., [ , ] L U i i e e   ) are employed to represent spatiotemporal or contextual variations (e.g., seasonal droughts), while type-2 fuzzy logic is used to capture hierarchical uncertainties in linguistic evaluations. …”
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Stage-based colorectal cancer prediction on uncertain dataset using rough computing and LSTM models by K. Supriya, A. Anitha

“…Abstract Artificial intelligence (AI) is an attractive field of Computer Science that helps to classify and to predict various real-time applications. Perhaps AI has a major role in predicting diseases at an early stage based on history. …”
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Data-driven price trends prediction of Ethereum: A hybrid machine learning and signal processing approach by Ebenezer Fiifi Emire Atta Mills, Yuexin Liao, Zihui Deng

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Exploring EFL Teachers’ Behavioral Intentions to Integrate GenAI Applications: Insights From PLS-SEM and fsQCA by Muhammed Parviz, Francis Arthur

“…The rapid development of generative artificial intelligence (GenAI) applications has opened new possibilities across various fields, including English language education, by enabling personalized and adaptable learning experiences. …”
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A Fusion Water Quality Soft-Sensing Method Based on WASP Model and Its Application in Water Eutrophication Evaluation by Xiaoyi Wang, Jie Jia, Tingli Su, Zhiyao Zhao, Jiping Xu, Li Wang

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Selection Method and Application of Dual-Mode TBM in Composite Strata: A Case Study of Shenzhen Metro Line 14 by Jizheng Huang, Xiaoyue Kang, Gaoyu Ma, Fan Chen, Shimin Wang, Renbin Luo

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Study on well logging reservoir fluid evaluation method based on 2D cloud model: A case study of Kuqa Depression, Tarim Basin by WANG Shuli, WANG Jinguo, ZHANG Chengsen, ZHANG Zhean, Kaysar PARHAT, LIU Longcheng

“…The method selected porosity and gas saturation as key logging parameters and utilized cloud models to process the fuzziness and randomness in well logging data, thereby establishing a mathematical model for reservoir fluid classification. …”
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Energy optimization and low-carbon development of prefabricated buildings enabled by BIM technology by Wang Yuhong, Li Xiaoqin

“…Therefore, through literature research, model construction and case analysis, this paper explores the integrated application of BIM and energy management technology in prefabricated buildings, proposes a high-quality development evaluation model based on the Analytical Hierarchy Process (AHP)-fuzzy comprehensive evaluation method, and verifies the effectiveness of the model through the case of prefabricated building projects in Chengdu. …”
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DLPLSR: Dual Label Propagation-Driven Least Squares Regression with Feature Selection for Semi-Supervised Learning by Shuanghao Zhang, Zhengtong Yang, Zhaoyin Shi

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Dynamic modeling in the functioning of security systems in the field of information security by A. M. Konakov, A. G. Pevneva

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