How Digitalization and Its Context Affect the Urban–Rural Income Gap: A Configurational Analysis Based on 274 Prefecture-Level Administrative Regions in China by Yulong Jie, Shuigen Hu, Siling Zhu, Lieen Weng

“…The study, based on a sample of 274 prefecture-level administrative regions in China from 2014 to 2021, employs a Panel Fuzzy-Set Qualitative Comparative Analysis (Panel fsQCA) and Necessary Condition Analysis (NCA). …”
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Construction Method of CNC Machine Tool Digital Twin Model Based on the Four-Layer Framework by Fengye Pei, Suifan Chen, Qipeng Li, Shixiong Guo, Yuyuan Xi, Pengju Huang

“…Computer numerical control (CNC) machine tool as an important equipment of intelligent manufacturing, due to its complex structure and complicated working conditions, DT technology is troubled by model consistency in application. To construct the DT model more effectively and accurately, a four-layer modeling framework is proposed based on the working characteristics of CNC machine tools, including requirement layer, representation layer, interaction layer and implementation layer. …”
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An Integrated Safety Monitoring and Pre-Warning System for Fishing Vessels by Kun Yang, Jinglong Lin, Jianjun Ding, Bing Zheng, Li Qin

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A PEFKS- and CP-ABE-Based Distributed Security Scheme in Interest-Centric Opportunistic Networks by Fei Wang, YongJun Xu, Lin Wu, Longyijia Li, Dan Liu, Liehuang Zhu

“…Security is a crucial issue in distributed applications of multihop wireless opportunistic network due to the features of exposed on the fly communication, relaxed end-to-end connectivity, and vague destinations literately. …”
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Cheetah optimized CNN: A bio-inspired neural network for automated diabetic retinopathy detection by V. K. U. Ahamed Gani, N. Shanmugasundaram

“…The segmented output is clustered using the cascaded fuzzy C-means algorithm and features are extracted with the speeded-up robust features algorithm. …”
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Development of intelligent hybrid controller for torque ripple minimization in electric drive system with adaptive flux estimator: An experimental case study. by Surya Kant, Mini Sreejeth, Madhusudan Singh, Ambrish Devanshu, Majed A Alotaibi, Hasmat Malik, Fausto Pedro García Márquez

“…In order to ensure optimal performance of permanent magnet synchronous motors (PMSMs) across many technical applications, it is imperative to minimize torque fluctuations and reduce total harmonic distortion (THD) in stator currents. …”
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MV-ALGEBRAS AND BL-ALGEBRAS by Constantin BOGDAN, Olimpia-Mioara PECINGINA

“…This material is studying MV-algebras and BL-algebras in terms of applicability inBoole.Algebrele Boole algebra expanded use in fuzzy logic.…”
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A Dynamic Hierarchical Clustering Data Gathering Algorithm Based on Multiple Criteria Decision Making for 3D Underwater Sensor Networks by Xiaoying Song, Wei Sun, Qilong Zhang

“…For selecting a cluster head in each layer, multiple criteria decision making of an intuitionistic fuzzy Analytic Hierarchy Process (AHP) and hierarchical fuzzy integration is adopted. …”
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PSEUDO MV-ALGEBRAS SI PSEUDO BL-ALGEBRAS by Constantin BOGDAN, Olimpia-Mioara PECINGINA

“…This material is studying MV-algebras and BL-algebras in terms of applicability in Boolealgebra.Boole algebras expanded use in fuzzy logic.…”
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Advancements and outlooks in utilizing Convolutional Neural Networks for plant disease severity assessment: A comprehensive review by Douglas Leite, Alisson Brito, Gregorio Faccioli

“…Once limited to disease detection, Convolutional Neural Networks (CNNs) applications now exhibit automatic severity calculation and classification solutions. …”
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Thermal features prediction in asphalt pavements using ANFIS-based regression by Mohammad Ali Khasawneh, Hiren Mewada, Ahmad Ali Khasawneh, Ansam Adnan Sawalha

“…Abstract This paper aims to develop predictive models for the thermal properties of laboratory-prepared hot mix asphalt (HMA) specimens using the Adaptive Neuro-Fuzzy Inference System (ANFIS). The thermal properties investigated include thermal conductivity, thermal diffusivity, and specific heat. …”
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Enhancing pipa tuning stability with piezoelectric materials: An adaptive system for real-time performance adjustment. by Kou Yawen

“…<h4>Introduction</h4>The study explores the development and performance evaluation of a Neuro-Fuzzy Inference System (NFIS) for adaptive tuning of a pipa string instrument under varying environmental conditions. …”
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Research Progress of Dangerous Driving Behavior Recognition Methods Based on Deep Learning by Junjian Hou, Bingyu Zhang, Yudong Zhong, Wenbin He

“…Firstly, the data collection methods are categorized into four types, evaluating their respective advantages, disadvantages, and applicability. While questionnaire surveys provide limited information, they are straightforward to conduct. …”
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Combination of machine learning and data envelopment analysis to measure the efficiency of the Tax Service Office by Shofinurdin Soffan, Arif Bramantoro, Ahmad A. Alzahrani

“…However, ensuring homogeneity among the DMUs is often necessary and requires the application of machine learning clustering techniques. …”
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Sensor Infused Quantum CNN for Diabetes Disease Prediction and Diet Recommendation by Jameer Kotwal, Pravin Futane, Gurunath Chavan, Archana Chaudhari, Jithina Jose, Vajid Khan

“…After prediction, the suggestion phase will provide the diet recommendation using the fuzzy rule for the person affected with diabetes through the mobile application. …”
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Hedge-Algebra-Based Phase-Locked Loop for Distorted Utility Conditions by Dinko Vukadinović, Tien Duy Nguyen, Cat Ho Nguyen, Nhu Lan Vu, Mateo Bašić, Ivan Grgić

“…This paper presents the first application of the hedge-algebra theory in the field of grid synchronization. …”
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Phase-Dependent Modulation of Muscle Activity and Intermuscular Coupling During Walking in Patients After Stroke by Yifan Li, Yueling Lyu, Rong Song

“…The gait cycle of each subject was divided into four substages according to the labeled trajectory data. On this basis, fuzzy approximate entropy (fApEn) was used to analyze the complexity of ankle muscle activity during walking. …”
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UPN-GCN: Update Positive-Negative Graph Convolution Neural Network in Non-Euclidean Structured Data by Lijun Fan, Shichao Yi, Wenrui Guan, Pingxin Wang

“…Some researchers have proposed to construct an intuitive fuzzy relationship, namely the positive-negative relationship, in non-Euclidean data, and explained the physical meaning of this relationship. …”
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Effectiveness of dogmatic criminal law reasoning in the permanent structure of the general theory of crime and punishment through plithogenic n-SuperHyperGraphs by Luis A. Crespo-Berti, Josía Jeseff Isea Argüelles, Marco Patricio Villa Zura

“…The research involves an interdisciplinary approach of legal dogmatic theory of crime and punishment in conjunction with fuzzy logic and combinatorial mathematics to investigate a sample of case law for where n-SuperHyperGraphs fill in the gaps of traditional criminal dogmatics. …”
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Enhancing Construction Waste Transportation Management Using Internet of Things (IoT): An Evaluation Framework Based on AHP–FCE Method by Muhammad Ateeq, Nan Zhang, Wenbo Zhao, Yaoqian Gu, Ziying Wen, Caimiao Zheng, Jianli Hao

“…This study explores how IoT technology can enhance construction waste transportation management by developing an evaluation framework using the Delphi method, analytic hierarchy process (AHP), and fuzzy comprehensive evaluation (FCE). This research focuses on the application of IoT to optimize the transportation and logistics process through real-time monitoring and data analysis. …”
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