Research on adaptive parking planning of heavy-haul trains on Shenmu-Shuozhou railway by HE Jia, YUAN Peng

“…Finally, a hardware-in-the-loop simulation platform was utilized to test and verify the proposed algorithm in three typical sections. The verification results show that the proposed algorithm achieves an average parking planning error of 1.31 meters while meeting the safety constraints , demonstrating the algorithm’s effectiveness and highlighting its value in practical engineering applications.…”
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Wind–Photovoltaic–Hydropower Joint Output Model Study Based on Probability Distribution and Correlation Analysis by Ligui Wu, Benhong Wang, Peng Zhang, Yiming Ke, Fangqing Zhang, Jiang Guo

“…In configuring wind and photovoltaic output reasonably, the amount of abandoned wind and abandoned light is decreased significantly, while the reliability of the power system is improved.…”
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Evolutionary Topological Optimization Method for Local Rib Addition in Single-Layer Shell Structures by WANG Rungu, DONG Xiao, GONG Jinghai

“…Using steel consumption as the evaluation index, a topological optimization method based on the evolutionary structural optimization algorithm is proposed for single-layer reticulated shell structures. …”
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Nonlinear Compound Function-Based Course-Keeping Control for Ships in Rough Seas by Guoshuai Li, Shimiao Wang, Xianku Zhang, Wenjun Zhang, Zhenhuan Zhang

“…To ensure the safe navigation of ships in rough seas while reducing steering gear energy consumption and losses, a steering control system with small rudder output angles, low steering frequency, and high control performance was designed. …”
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Monitoring and investigation to control the brain network disease under immunotherapy by using fractional operator by Muhammad Farman, Ammara Talib, Khadija Jamil, Kottakkaran Sooppy Nisar, Aceng Sambas, Mustafa Bayram, Mohamed Hafez

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A novel mixed technique for order abatement in linear time invariant systems and robustness analysis of DC motor by Priyajit Dash, M. L. Meena, M. Ramkumar Raja, Wahaj Ahmad Khan

“…The proposed approach utilizes the Honey Badger algorithm (HBA) to compute the numerator polynomials, while the stability equation (SE) method determines the denominator polynomials of the abated system (AS). …”
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Evaluating ground vibration attenuation through leca‐filled trenches: A support vector machine approach by Mohsen Naghizadeh Rokni, Omid Tavasoli, Reza Esmaeilabadi, Amirpouya Saraf

“…This underscores the algorithm's utility in predicting trench efficiency, highlighting the practical application of machine learning in geotechnical engineering.…”
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Generative design and multi-objective optimization for enhanced building thermal performance by Omar Ain, Husam B. Khalil, Maryam El-Maraghy, Mohamed Marzouk

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Strategic Integration of Battery Energy Storage Systems for Effective EV Charging Demand Management in Transactive Energy Markets by T. H. M. Sumon Rashid, Md. Rabiul Islam, Md Muminur Rahman Sonic

“…Overall, this novel approach provides an effective framework for DNOs to enhance grid performance while strategically incorporating the economic aspects of BESS, ultimately lowering EV charging costs compared to existing methods.…”
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Bilateral Matching Decision Model and Calculation of High-Speed Railway Train Crew Members by Wen Li, Yinzhen Li, Rui Xue, Yuxing Jiang, Yu Li

“…To meet the preference demands of the crew members of high-speed railway trains while forming a crew team, and to automate the compilation of adaptable crew member schemes, a bilateral matching decision method for crew members is proposed based on complete preference order information. …”
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A Novel Forecasting System with Data Preprocessing and Machine Learning for Containerized Freight Market by Yonghui Duan, Xiaotong Zhang, Xiang Wang, Yingying Fan, Kaige Liu

“…Additionally, variational mode decomposition (VMD) technique is employed to decompose the time series in a rolling manner, effectively avoiding data leakage while extracting significant features. In the forecasting stage, the cheetah optimization algorithm (COA) optimizes the key parameters of the extreme gradient boosting (XGBoost) model, enhancing forecasting accuracy. …”
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A framework for heat energy community planning with a special focus on cost sharing by Bernadette Fina

“…While electricity-based energy communities (ECs) have received significant scientific attention, heat-based ECs have not gotten the attention they deserve. …”
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Boosting EMG classification: a hybrid NCA-driven evolutionary optimization approach for high accuracy and efficiency by X. Little Flower, S. Poonguzhali

“…Abstract A novel hybrid approach combining neighborhood component analysis (NCA) and metaheuristic optimization algorithms is proposed to improve the classification accuracy of electromyography (EMG) signals while reducing the feature set size and computational time. …”
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Dynamical Analysis and Optimization of Combined Vibration Isolator with Time Delay by Yaowei Wang, Xiangyu Li

“…To further enhance performance, a genetic algorithm is used to optimize the control parameters under harmonic force excitation. …”
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Dynamic Inversion Method for Concrete Gravity Dam on Soft Rock Foundation by Guanglin Yin, Chaoning Lin, Taozhen Sheng, Wenbo Xue, Tongchun Li, Siyu Chen

“…The results reveal an exponential decay in the foundation’s elastic modulus (from 4.67 GPa to approximately 3.83 GPa), while the dam body maintains a stable modulus of 20.74 GPa. …”
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Development of an efficient method for object detection and localization in 3D space using RGBD cameras for autonomous systems by Nataliya Boyko

“…The results of experimental research confirm a high level of accuracy and stability even under challenging conditions. The algorithm outperforms existing models in terms of processing speed while demonstrating comparable or superior positioning accuracy. …”
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Optimization of Reverse Logistics Networks for Hazardous Waste Incorporating Health, Safety, and Environmental Management: Insights from Large Cruise Ship Construction by Huilin Li, Jiaqi Yang, Wei Zhang

“…The comparative analysis shows that DCSA performs as well as NSGA-II, while outperforming DGWO, demonstrating both stability and efficiency. …”
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Wavelet deep unfolding network for iterative stripe noise removal in wideband microwave imaging system for EMS localization by Yanju Zhu, Zihan Zhao

“…These innovations enable the proposed algorithm to effectively handle dynamically varying noise in wideband. …”
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Establishment and Solution Test of Wear Prediction Model Based on Particle Swarm Optimization Least Squares Support Vector Machine by Xiao Huang, Yongguo Wang, Yuhui Mao

“…The model parameters are optimized by the two-dimensional coordinates (c and g) of the particle swarm algorithm to adapt to the given training sample set. …”
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A Multi-Objective Optimization Study on a Certain Lecture Hall Based on Thermal and Visual Comfort by Hui Xi, Shichao Guo, Wanjun Hou, Bo Wang

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