Multiple entropy fusion predicts driver fatigue using forehead EEG by Renyu Yang, Ling Zhang, Renhuan Yang, Lixing Hou, Donglong Zhu, Boming Zhong

“…However, the utilization of forehead channels for identifying fatigue has been underexplored by researchers, which limits practical application.ObjectivesTo assess driver fatigue using EEG signals from the forehead, we propose a novel method that combines multiple entropies with a stacking model.MethodsWe collected EEG signals from 32 subjects and utilized nine entropy measures including approximate entropy, fuzzy entropy, Kolmogorov entropy, permutation entropy, sample entropy, spectral entropy, symbolic transfer entropy, wavelet log energy entropy, and wavelet packet energy entropy for feature extraction. …”
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Effects of Breathing Exercises with Favorite Essential Oils on Regulating the Autonomic Nervous System During Nighttime in the Late Luteal Phase by Naoko Kouzuma, Tomomi Yamakawa

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Explainable AI-Based Ensemble Clustering for Load Profiling and Demand Response by Elissaios Sarmas, Afroditi Fragkiadaki, Vangelis Marinakis

“…This research leverages on such data to enhance demand response (DR) programs through a novel application of ensemble clustering. Despite its promising capabilities, our literature review identified a notable under-utilization of ensemble clustering in this domain. …”
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Constructing causal pathways for premature cardiovascular disease mortality using directed acyclic graphs with integrating evidence synthesis and expert knowledge by Wan Shakira Rodzlan Hasani, Kamarul Imran Musa, Xin Wee Chen, Kueh Yee Cheng

“…The process involves three phases: (1) initial DAG development based on the Evidence Synthesis for Constructing Directed Acyclic Graphs (ESC-DAGs) framework, (2) validation and consensus-building with 12 experts using the Fuzzy Delphi method (FDM), and (3) application to data analysis using population-based survey data linked with death records. …”
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Design of Novel Secondary Controller for AGC in Multi‐Area Multi‐Sources Power System Incorporated Renewable Energy Using a Gray Wolf Optimizer Algorithm by Getaneh Mesfin Meseret, Rajesh Kumhar, Tarkesh Kumar Mahato, Poonam Lakra, Babli Kumari, Nishant Kumar

“…A fully optimum two‐level neuro‐fuzzy proportional plus integral plus derivative with filter (TLNF‐PIDF) is introduced as secondary controller. …”
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Research Progress on Process Optimization of Metal Materials in Wire Electrical Discharge Machining by Xinfeng Zhao, Binghui Dong, Shengwen Dong, Wuyi Ming

“…Firstly, it discusses in detail the applications and limitations of traditional optimization methods—such as statistical approaches (Taguchi method and response surface methodology), Adaptive Neuro-Fuzzy Inference Systems, and regression analysis—in parameter control, surface quality improvement, and material removal-rate optimization for cutting metal materials in WEDM. …”
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A novel PV power prediction method with TCN-Wpsformer model considering data repair and FCM cluster by Tong Yang, Minan Tang, Hanting Li, Hongjie Wang, Chuntao Rao

“…Meanwhile, it can also provide more accurate confidence intervals on the basis of point prediction, which has certain application value.…”
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BoostPolyGlot: A Structured IR Generation-Based Fuzz Testing Framework for GCC Compiler Frontend by Hui Liu, Hanbin Guo, Peng Liu, Tongding Hou

“…The compiler serves as a bridge connecting hardware architecture and application software, converting source code into executable files and optimizing code. …”
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Neural Network-Based Optimization for Bandwidth Enhancement of Millimeter-Wave Franklin Antenna With Proximity-Coupled Feed by Ahmad Firdausi, Eko Setijadi, Gamantyo Hendrantoro, Mudrik Alaydrus

“…The initial model is established through mathematical calculations, followed by refinement using various machine learning methods, including Levenberg-Marquardt, Bayesian Regularization, Scaled Conjugate Gradient, and Adaptive Neuro Fuzzy Inference System (ANFIS). The antenna performance evaluation comprises of a comprehensive technique that combines simulation, measurement, and development of R-L-C equivalent circuit models, as well as the application of machine learning methods. …”
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Mathematical Models Applied to the Localization of Park-and-Ride Systems: A Systematic Review by Josue Ortega, Ruffo Villa Uvidia

“…Finally, other models, such as multilevel programming and fuzzy logic, offer adaptive solutions for highly variable urban environments. …”
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HTML5-based graphic image processing and collaborative drawing technology by Yinghua Liang

“…This discovery provides important evidence for its practical application in many fields such as computer vision, medical imaging, and remote sensing image analysis, and helps to promote the development and innovation of image processing technology in these fields to meet the increasing practical needs.…”
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Socio-Economical Analysis of a Green Reverse Logistics Network under Uncertainty: A Case Study of Hospital Constructions by Alireza Alibakhshi, Amirreza Saffarian, Erfan Hassannayebi

“…It suggests potential future directions, such as the application of metaheuristic algorithms and improved stochastic planning methods.…”
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Improving Energy Efficiency in QoS-Constrained Wireless Sensor Networks by Mohamed Abdelaal, Oliver Theel, Christian Kuka, Peilin Zhang, Yang Gao, Vasilisa Bashlovkina, Daniela Nicklas, Martin Fränzle

“…Energy saving is often achieved via “squeezing” other application-sensitive Quality of Service (QoS) parameters such as delay and throughput. …”
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A Two-Stage Planning Method for Rural Photovoltaic Inspection Path Planning Based on the Crested Porcupine Algorithm by Xinyu He, Xiaohui Yang, Shaoyang Chen, Zihao Wu, Xianglin Kuang, Qi Zhou

“…This method first employs a hybrid optimization framework combining a genetic algorithm, Simulated Annealing, and Fuzzy C-Means Clustering (GASA-FCM) to divide PV power stations into multiple regions, adapting to their dispersed distribution characteristics. …”
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Transforming Land Use Patterns to Improve Soil Fertility in the Horqin Sandy Land by Feng Hao, Chao Li, Tiefeng Yu, Haibo An, Mei Xiong, Kai Gao, Jiabing Yu

“…In the Horqin Sandy Land, we evaluated the soil restoration effects of planting corn (from 2014 to 2018) on previously uncultivated land (in 2013), followed by the transition to alfalfa cultivation under five nitrogen application levels (from 2019 to 2023). After corn cultivation, the soil available nitrogen (AN), C/N ratio, C/P ratio, and N/P ratio decreased by 39.02%, 7.14%, 21.35%, and 12.83%, respectively, compared to those of uncultivated land. …”
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Chess Position Evaluation Using Radial Basis Function Neural Networks by Dimitrios Kagkas, Despina Karamichailidou, Alex Alexandridis

“…All methods were based upon a new dataset, which was developed in the context of this work, derived by a collection of over 1500 top-level chess games. A Java application was developed for processing the games and extracting certain features from the arising positions in order to construct the dataset, which contained data from over 80,000 positions. …”
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Investigation of the Impact of SSSC-Based FLC on the Stability of Power Systems Connected to Wind Farms by Ahmadreza Abdollahi Chirani, A. Karami

“…Extensive research has been conducted in power systems with wind turbines in which SSSC or FLC has been used; however, their simultaneous application in such systems has received less attention. …”
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Environmental impact study of the sightseeing electric vehicle supply chain based on the B2C e-commerce model and LCA framework by Wei Xia, Chunjun Luo, Li Cai, Juan Yan, Xiaojiang Zhou, Yuan Zhang

“…It is more practical and has good application prospects.…”
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Optimal performance selection of sustainable mobility service projects based on IFSS - Prospect theory - VIKOR: A case study of electric vehicle sharing program. by Huixin Liu, Chen Lu, Xiang Hao, Hui Zhao

“…One of the reasons for this trend is the development of Mobility as a Service (MaaS), which in conjunction with information and communication technologies (ICT) drive the application of transport services in smart city, respond to environmental issues, and provide users with reliable mobility. …”
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A Decision-Making Model for the Assessment of Emergency Response Capacity in China by Guanyu Chen, Tao Li, Liguo Fei

“…The proposed model was empirically validated through a case application to emergency plan selection in Shenzhen, China. …”
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