Comparative Analysis of Type-1 and Type-2 Fuzzy Controllers: Exploiting Synergies for Improved Control System Performance by Renato Aparecido Aguiar, Ivan Carlos Franco, Fabrizio Leonardi

“…This paper contributes to the existing body of knowledge by presenting empirical evidence and practical insights into the performance of type-2 fuzzy controllers in real-world applications. The findings shed light on the benefits and limitations of utilizing type-2 fuzzy controllers, particularly in scenarios where system knowledge is limited or incomplete. …”
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Investigating Parkinson’s disease risk across farming activities using data mining and large-scale administrative health data by Pascal Petit, François Berger, Vincent Bonneterre, Nicolas Vuillerme

“…A secondary analysis of real-world administrative insurance claim data and electronic health/medical records (TRACTOR project) was conducted to estimate PD risk for 26 farming activities using data mining. …”
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Information-Enhanced Graph Neural Network for Transcending Homophily Barriers by Xiao Liu, Lijun Zhang, Hui Guan

“…We validate the effectiveness of INGNN through extensive experiments on both synthetic and real-world datasets with different graph homophily. …”
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Enhancement Infrared-Visible Image Fusion Using the Integration of Stationary Wavelet Transform and Fuzzy Histogram Equalization by Rusul Basheer Khazal, Nada Jasim Habeeb

“…Imaging techniques in real-world applications provide images with a different texture than the other, where visible images provide spatial information while infrared images provide spectral information. …”
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Enhanced Vector Quantization for Embedded Machine Learning: A Post-Training Approach With Incremental Clustering by Thommas K. S. Flores, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa, Ivanovitch Silva

“…Results show improved performance and deployment efficiency, showcasing the potential of this combined technique for real-world embedded applications.…”
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Enhancing adversarial transferability with local transformation by Yang Zhang, Jinbang Hong, Qing Bai, Haifeng Liang, Peican Zhu, Qun Song

“…Abstract Robust deep learning models have demonstrated significant applicability in real-world scenarios. The utilization of adversarial attacks plays a crucial role in assessing the robustness of these models. …”
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Pseudolabel guided pixels contrast for domain adaptive semantic segmentation by Jianzi Xiang, Cailu Wan, Zhu Cao

“…Acquiring such annotations can be costly in the real-world. Unsupervised domain adaptation (UDA) for semantic segmentation is a technique that uses virtual data with labels to train a model and adapts it to real data without labels. …”
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Designing of a wide-area power system stabilizer using an exponential distribution optimizer and fuzzy controller considering time delays by Chao Zhang, Xucheng Chang, Jun Dai, Zhiqiang Chen, Manoochehr Babanezhad

“…The application of the proposed stabilizer on this specific IEEE model provides a detailed insight into its performance in real-world scenarios, illustrating its adaptability and effectiveness in managing dynamic disturbances. …”
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Adaptive micro partition and hierarchical merging for accurate mixed data clustering by Yunfan Zhang, Rong Zou, Yiqun Zhang, Yue Zhang, Yiu-ming Cheung, Kangshun Li

“…To address the complex real-world clustering task, this paper proposes a new clustering method called Adaptive Micro Partition and Hierarchical Merging (AMPHM) based on neighborhood rough set theory and a novel hierarchical merging mechanism. …”
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Reinforcement Learning-Driven Intelligent Truck Dispatching Algorithms for Freeway Logistics by Xiao Jing, Xin Pei, Pengpeng Xu, Yun Yue, Chunyang Han

“…Simulation experiments based on the real-world freeway logistics data collected in Guiyang, China show that our algorithms improved operational profitability substantially with a 76% and 30% revenue increase for FTL and LTL modes, respectively, compared with single-stage optimization. …”
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Optimizing Biomedical Ontology Alignment through a Compact Multiobjective Particle Swarm Optimization Algorithm Driven by Knee Solution by Xingsi Xue, Xiaojing Wu, Junfeng Chen

“…Nowadays, most real-world decision problems consist of two or more incommensurable or conflicting objectives to be optimized simultaneously, so-called multiobjective optimization problems (MOPs). …”
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Enhancing Qualitative Research: The Use of Design Probes and Cooking Sessions Deepens the Understanding of 9- to 11-Year-Old Children’s Food Perceptions by Lotte Pater, Elizabeth H. Zandstra, Vincenzo Fogliano, Bea L. P. A. Steenbekkers

“…The findings provide evidence that participatory methods should be combined with traditional methods, such as one-to-one interviews, to get richer and more detailed insights into children’s food perceptions in real-world contexts.…”
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Investigating behavioral economics in tax evasion decision making phenomenon: a tax crime scenario approach by Najme Esmaeil Darjani, Ahmad Assadzadeh, Mohamad Mehdi Barghi Oskoei

“…Considering that the issue of preventing tax evasion by taxpayers is very important and necessary, in this study, using mathematical modeling and scenario making tools to calculate tax crimes, the theory of behavioral economics and the theory of expected desirability have been compared.Methodology: In this research, using mathematical modeling tools and a questionnaire to calculate tax crimes, the theory of behavioral economics and the theory of expected desirability have been compared.Findings: The results indicate that the amount of crimes calculated in the theory of behavioral economics is closer to crimes in the real world. Therefore, the obtained results are a good justification for choosing the theory of perspective instead of the theory of expected utility, and by adding the parameter of tax ethics, the amount of tax penalty in both theories is reduced.Originality/Value: Since a healthy economy is an economy that is mostly based on taxes and has tried to cover government expenditures through taxes. …”
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RISKS REDUCING THROUGH INTELLIGENT HEADLIGHT MANAGEMENT: OPTIMIZING Q-LEARNING FOR ELECTRIC VEHICLES by Pitchaya Jamjuntr, Chanchai Techawatcharapaikul, Pannee Suanpang

“…This paper not only contributes to the optimization of last-mile delivery using shipping drones but also highlights the potential of reinforcement learning techniques, such as deep Q-learning, in addressing complex routing challenges in dynamic, real-world environments in smart logistics. Ultimately, further exploration into the utilization of reinforcement learning for complex optimization issues across various domains is recommended. …”
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Gait ecological assessment in persons with Parkinson’s disease engaged in a synchronized musical rehabilitation program by A. Bourdon, L. Damm, D. Dotov, P. Ihalainen, S. Dalla Bella, B. G. Bardy, V. Cochen De Cock

“…We demonstrated that real-world walking with BeatMove exhibited improved gait parameters both within and across sessions. …”
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Evaluation of snow-drifting influencing factors and susceptibility of transportation infrastructure lines by Pengxiang Li, Aiying Gao, Mingzhou Bai, Shumao Qiu

“…The use of the GA-BP algorithm effectively captured the complex nonlinear relationships among various factors, producing evaluation results highly consistent with real-world conditions. This method may efficiently identify high-risk areas of snow-drifting along transportation infrastructure lines, providing valuable insights for disaster prevention using ArcGIS.…”
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Predictive Control for Steel Rib Bending Based on Deep Learning by Yijiang Xia, Jinhui Luo, Zhuolin Ou, Xin Han, Junlin Deng, Ning Wu

“…Experimental validation using real-world datasets collected from a shipyard’s CNC cold bending machine demonstrates that the T-CNN model significantly reduces the number of steps required for each bending operation, achieving a 75% reduction in production time and substantially enhancing processing efficiency. …”
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Optimization of Ultra Lightweight Mirror and Opto-Mechanical–Thermal Coupling Analysis Based on Solar Thermal Radiation by Quanliang Dong, Jinhe Yang, Tong Zhang, Xiaoming Wang

“…Optical performance is also improved, with a 6 μm reduction in the spot diagram radius and an 8.95 nm decrease in RMS. Simulations under real-world conditions show that the lightweight mirror performs better in resisting gravity deformation and maintaining imaging quality. …”
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The Influence of Cognitive Dual Tasking on the Outcomes of the Triple Hop Test Following Anterior Cruciate Ligament Reconstruction by Roberto Ricupito, Alberto Grassi, Matteo Zanuso, Paolo Torneri

“…Integrating Dual Task (DT) strategies, which combine cognitive and physical tasks, is critical, as multitasking mirrors real-world and sports-specific demands. Assessing how distractions affect performance is essential to optimize RTS outcomes for both the reconstructed and healthy limbs…”
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A Blockchain-Assisted Federated Learning Framework for Secure and Self-Optimizing Digital Twins in Industrial IoT by Innocent Boakye Ababio, Jan Bieniek, Mohamed Rahouti, Thaier Hayajneh, Mohammed Aledhari, Dinesh C. Verma, Abdellah Chehri

“…The framework improves transparency, control, security, privacy, and scalability for self-optimizing digital twins in IIoT. A real-world evaluation demonstrates the framework’s effectiveness in enhancing security, explainability, and optimization, offering improved efficiency and reliability for industrial operations.…”
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