Prediction correction modeling of water-conducting fracture zones height due to repeated mining in close distance coal seams by Zhuoran Kang, Daming Yang, Pengfei Shen

“…Using principal component analysis and fuzzy comprehensive evaluation, we derived the combined weights of these factors. …”
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Intelligent Network Selection Mechanisms in the Internet of Everything System by Indrasen Singh, Meenakshi Munjal

“…These advantages deliver seamless connectivity for a diverse range of applications and devices using an IoE infrastructure that is more robust and reliable. …”
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Finite Element Analysis and Machine Learning‐Based Prediction of Oil Tank Behavior Under Diverse Operating Conditions by Themba Mashiyane, Lagouge Tartibu, Smith Salifu

“…These FEA and fe‐safe outputs were trained using Artificial Neural Networks (ANN) and Adaptive Neuro‐Fuzzy Inference Systems (ANFIS) to predict unknown tank operating scenarios. …”
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Incompatibilities of Using the IFRS Fair Value Basis in the Iranian Banking Business Framework by Elias Badri, Ahmad Badri

“…The Banking business model as a financial intermediary is attracting resources and allocating them to resource applicants. This study investigates the compatibility of Iranian banking business with the fair value measurement logic described in IFRS. …”
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Exploring Jugaad in architecture: Theory and strategies for implementation in resource-constrained environments by Vikas Kumar, Arjun Mukerji

“…The findings were further validated using the Fuzzy Delphi Method (FDM), ensuring expert consensus from sixteen architecture professionals. …”
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Hierarchical Neural Regression Models for Customer Churn Prediction by Golshan Mohammadi, Reza Tavakkoli-Moghaddam, Mehrdad Mohammadi

“…In the literature, the better applicability and efficiency of hierarchical data mining techniques has been reported. …”
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Research on Hybrid Wind Speed Prediction System Based on Artificial Intelligence and Double Prediction Scheme by Ying Nie, He Bo, Weiqun Zhang, Haipeng Zhang

“…The experimental results demonstrate that the proposed system outperforms existing methods in engineering applications and can be used as an effective technology for power system planning.…”
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Synergized security framework: revolutionizing wireless sensor networks through comparative methodological analysis by Guodong Su, Boliang Zhang

“…Abstract Wireless Sensor Networks (WSNs) are increasingly deployed in critical applications from healthcare to military systems, yet they face significant security challenges due to their resource constraints and distributed nature. …”
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A study of high-speed train delays and relevant propagation influence characteristics. by Jingyi Qin, Jun Zhang, Shuyao Wu, Shejun Deng

“…Research shows that the number of abnormal event samples distributed in the sections is 1.53 times that of stations. Based on the Fuzzy C-Means clustering results, abnormal events in the section are more likely to propagate than abnormal events at stations. …”
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Towards Automated Cadastral Map Improvement: A Clustering Approach for Error Pattern Recognition by Konstantinos Vantas, Vasiliki Mirkopoulou

“…This study investigates the use of unsupervised clustering algorithms to identify and characterize systematic spatial error patterns in cadastral maps. We compare Fuzzy c-means (FCM), Density-Based Spatial Clustering of Applications with Noise (DBSCAN), and Gaussian Mixture Models (GMMs) in clustering error vectors using two different case studies from Greece, each with different error origins. …”
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Neutrosophic Sets and Systems: A Decade of Scientific Contribution and Growth by Muhammad Saqlain, José M. Merigó, Poom Kumam

“…Neutrosophic Sets and Systems (NSS) has become an important Journal for neutrosophic theory and its applications in uncertainty modeling and decision sciences. …”
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Infrared Small Target Detection via Modified Fast Saliency and Weighted Guided Image Filtering by Yi Cui, Tao Lei, Guiting Chen, Yunjing Zhang, Gang Zhang, Xuying Hao

“…After that, utilizing the fuzzy sets technique, the background image is predicted reasonably according to the results of the saliency map and smoothed or non-smoothed images. …”
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Sustainable Deforestation Evaluation Model and System Dynamics Analysis by Huirong Feng, C. W. Lim, Liqun Chen, Xinnian Zhou, Chengjun Zhou, Yi Lin

“…The current study used the improved fuzzy analytic hierarchy process to construct a sustainable deforestation development evaluation system and evaluation model, which has refined a diversified system to evaluate the theory of sustainable deforestation development. …”
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Compliant Force Control for Robots: A Survey by Minglei Zhu, Dawei Gong, Yuyang Zhao, Jiaoyuan Chen, Jun Qi, Shijie Song

“…In addition, intelligent compliant control approaches are systematically analyzed, encompassing neural networks, fuzzy logic, sliding mode control, and reinforcement learning. …”
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Cluster Optimization for Exponential, Right-Triangular, and Uniformly Distributed Data by Gabiriele Bulivou, Karuna G. Reddy, M. G. M. Khan

“…We conducted a comparative evaluation to assess the performance of MP-DP against four established clustering methodologies: K-Means, Fuzzy C-Means, expectation-maximization, and Genie++ hierarchical clustering. …”
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Time-Series Prediction of Failures in an Industrial Assembly Line Using Artificial Learning by Mert Can Sen, Mahmut Alkan

“…The study underscores NAR as optimal for precision-critical aerospace applications, where error minimisation and generalisability are paramount. …”
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Hybridization of metaheuristic algorithms for resource scheduling in distributed robotic control system by P. Anand Raj, M. Rajakumaran, S. Palani Murugan, S. Senthilkumar

“…The proposed framework integrates an Artificial Neuro-Fuzzy Inference System (ANFIS) for dynamic cluster head selection, ensuring adaptive decision-making based on residual energy, trust value, and centrality metrics. …”
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Exploring the Role of Artificial Intelligence in Wastewater Treatment: A Dynamic Analysis of Emerging Research Trends by Javier De la Hoz-M, Edwan Anderson Ariza-Echeverri, Diego Vergara

“…This study presents a comprehensive bibliometric analysis of AI applications in wastewater treatment, utilizing data from Scopus and Web of Science covering 4335 publications from 1985 to 2024. …”
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Rubia-inspired biogenic synthesis of Cu–ZnO nanocomposites: Dual-modelling of visible light photocatalytic degradation and antibacterial assessment by Jeevan Mathew Tharayil, Prakash Chinnaiyan, Arumugam Sathasivan

“…The biogenic synthesis approach demonstrated enhanced photocatalytic efficiency and antimicrobial properties, suggesting its potential for environmentally friendly applications.…”
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Evaluation of Control Priorities Based on a Matrix of Paired Comparisons by O. V. German, Ju. O. German, М. V. Kuznetsov

“…To assess the statistical adequacy of the found control priorities, the determination coefficient is used, the value of which at the level of 80 % and above is considered practically acceptable for applications. The critical value of the coefficient of determination can be determined, for example, using the Fisher criterion. …”
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