A Forecasting Approach for Wholesale Market Agricultural Product Prices Based on Combined Residual Correction by Bo Li, Yuanqiang Lian

“…This improvement is attributed to the parameter optimization of the SVR, GRNN, and ELM models through the SSA. The proposed model also showed superior forecasting accuracy compared to the nine individual models. …”
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Improving the Minimum Free Energy Principle to the Maximum Information Efficiency Principle by Chenguang Lu

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Topology optimization of multi-material acoustic metamaterials for low-frequency and broadband sound absorption by Feifei Feng, Lei Diao, Chuan He, Meng Tao

“…The method combines a genetic algorithm and a topology optimization method to design appropriate cavities and rigid structures with irregular shapes. …”
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Knee injury prevention via personalized exercise using EDAS method and Sugeno Weber operator under complex q rung orthopair fuzzy data by ShiJie Zhang, Chuxin Sima, TaiFu Hou

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Study on Trajectory Planning for Polishing Free-Form Surfaces of XY-3-RPS Hybrid Robot by Xiaozong Song, Junfeng An, Xingwu Ma

“…Finally, the feasibility of the trajectory planning method was verified through motion simulation. This paper also provides a detailed description of the mathematical modeling, algorithm implementation, and simulation analysis of the XY-3-RPS hybrid robot for trajectory optimization, offering both a theoretical foundation and engineering support for its application in free-form surface polishing.…”
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Research on Diagnostic Methods for Zero-Value Insulators in 110 kV Transmission Lines Based on Spatial Distribution Characteristics of Electric Fields by Lei Zheng, Pengxiang Yin, Jian Li, Hui Liu, Tao Li, Hao Luo

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Reliability Evaluation and Preventive Maintenance Strategy Selection of Traction Substation Equipment Considering Its Wear Degree by E. E. Bakeev, A. I. Sharapova

“…The paper tackles the selection problem of optimum preventive maintenance pattern of traction substation equipment making allowance for its ageing. It is also indicated that the system states describing process is a regenerating one. …”
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SOE: A Multi-Objective Traffic Scheduling Engine for DDoS Mitigation with Isolation-Aware Optimization by Mingwei Zhou, Xian Mu, Yanyan Liang

“…To solve this problem, we introduce MOFATA, a multi-objective extension of the Fata Morgana Algorithm (FATA) within a Pareto-based evolutionary framework. …”
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Approximation Results: Szász–Kantorovich Operators Enhanced by Frobenius–Euler–Type Polynomials by Nadeem Rao, Mohammad Farid, Mohd Raiz

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Design and testing of a RealSense-based variable spraying control system for field kale by Yahui Luo, Wen Li, Pin Jiang, Kaiwen Tang, Zhiluo Liang, Yixin Shi

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Three-Layer Energy Optimization Strategy for CHP Microgrid Considering Path Loss by Kai LING, Can WANG, Gaorui ZHANG, Aoqi WANG, Sihu CHU, Fuyin TIAN, Xinran LI

“…This strategy not only constructs a lower layer optimal operation model aiming at minimizing the operation cost of each microgrid and an upper layer optimal operation model aiming at minimizing the interaction cost between agents but also constructs a new middle layer optimal operation model aiming at minimizing the loss of energy transmission path. …”
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Mathematical modeling and optimization of the active suspension system of a 6x6 electric vehicle by Berk Aydoğan, Ahmet Yildiz

“…The suspension system also affects roadholding significantly. In this study, mathematical modeling was performed for a vehicle with a 6 × 6 in-wheel electric motor. …”
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Wireless Protocol-Based Control of Smart Electric Drive Using Sampled Time Secure Communication of Chaotic Systems by Nhat Quang Dang, Huyen Chau Phan Thi, Quang Dich Nguyen, van Nam Giap

“…The DO also allows the use of a smaller SMC gain, which helps reduce chattering while maintaining control robustness. …”
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NFT-Based Framework for Digital Twin Management in Aviation Component Lifecycle Tracking by Igor Kabashkin

“…The paper presents a novel framework for implementing decentralized algorithms based on non-fungible tokens (NFTs) for digital twin management in aviation, with a focus on component lifecycle tracking. …”
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Designing an innovative closed-loop supply chain network considering economic and environmental aspects by Maryam Rahmaty

“…Also, according to the results obtained from the TOPSIS method, it was observed that the MOPSO algorithm in small and medium sizes and the SPEA2 algorithm in larger sizes have better performance than other proposed algorithms.…”
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Predicting Tropical Cyclone Extreme Rainfall in Guangxi, China: An Interpretable Machine Learning Framework Addressing Class Imbalance and Feature Optimization by Yuexing Cai, Cuiyin Huang, Fengqin Zheng, Guangtao Li, Sheng Lai, Liyun Zhu, Qiuyu Zhu

“…The framework integrated three supervised learning algorithms, namely XGBoost, Random Forest, and AdaBoost, along with feature selection techniques and an explainable method. …”
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A hybrid framework: singular value decomposition and kernel ridge regression optimized using mathematical-based fine-tuning for enhancing river water level forecasting by Iman Ahmadianfar, Aitazaz Ahsan Farooque, Mumtaz Ali, Mehdi Jamei, Mozhdeh Jamei, Zaher Mundher Yaseen

“…By incorporating the linear relationship and regularization techniques of ridge regression with the flexibility and adaptability of the SKRidge algorithm, the L-SKRidge model is able to capture complex patterns in the data while also preventing overfitting. …”
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Multi-Index Assessment of Surface Urban Heat Island (SUHI) Dynamics in Samsun Using Google Earth Engine by Yiğitalp Kara, Veli Yavuz, Anthony R. Lupo

“…The analysis utilized cloud-free Landsat 8 imagery sourced from the US Geological Survey via the Google Earth Engine platform, employing a one-year median for each pixel using a cloud masking algorithm. Land use and land cover (LULC) classification was conducted using the random forest (RF) algorithm with satellite composite imagery, achieving an overall accuracy of 85% for 2014 and 86% for 2023. …”
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Design of the Real-Time Single-Photodiode Digital Coherent Receiver Suitable for Free Space Optical Communication by Keji Zhou, Sheng Cui, Yunfeng Gu, Yicong Tu, Changjian Ke, Deming Liu

“…We also provide a method to minimize the FD-FRA complexity and demonstrate that its power consumption is only 3.7%, 25.3% and 37.8% of that of the well-known conventional Kramers-Kronig (KK) algorithm, upsampling-free KK algorithm and TD-FRA. …”
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Climate Change Disinformation on Social Media: A Meta-Synthesis on Epistemic Welfare in the Post-Truth Era by Essien Oku Essien

“…The study highlights the necessity of addressing climate change disinformation through improved scientific communication, algorithmic openness, and digital literacy initiatives. …”
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