Motion Planning Methods for Automated Parking: A Comprehensive Review by CHEN Xiaoming, LI Bai, FAN Lili, ZHANG Youmin

“…This paper offers a thorough review of the motion planning methods applied within the automated parking domain, categorizing them into geometric methods, sampling methods, search methods, numerical optimization methods, and machine learning methods. …”
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Stress Analysis and Structural Optimization of Steel–Concrete Joint of Zhonghua Road Bridge in Liaocheng by Jie Jin, Junlin Zhang, Ye Li, Zengkui Xie, Lipo Yang

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Methods for quantitative determination of microalgal lipid and fatty acids content by I. V. Morshchinin

“…Accurate and reproducible lipid quantification is essential for strain selection, process optimization, and industrial scaling. This review presents a comprehensive and critical evaluation of contemporary lipid quantification methods applied to microalgae. …”
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Transformer fault diagnose intelligent system based on DGA methods by Saad A. Mohamed Abdelwahab, Ibrahim B. M. Taha, Rizk Fahim, Sherif S. M. Ghoneim

“…Dissolved Gas Analysis (DGA) is widely adopted to identify transformer faults. While traditional DGA methods such as the IEC Code, Rogers Ratio, and Duval triangle exist, their diagnostic accuracies are often lacking. …”
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Censoring Sensitivity Analysis for Benchmarking Survival Machine Learning Methods by János Báskay, Tamás Mezei, Péter Banczerowski, Anna Horváth, Tamás Joó, Péter Pollner

“…The framework systematically reduced observation periods and increased censoring rates while measuring performance through multiple metrics following Bayesian hyperparameter optimization. (3) Results: Model performance showed greater sensitivity to increased censoring rates than to reduced observation periods. …”
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Min3GISG: A Synergistic Feature Selection Framework for Industrial Control System Security with the Integrating Genetic Algorithm and Filter Methods by Saiprasad Potharaju, Swapnali N. Tambe, G. Madhukar Rao, M. V. V. Prasad Kantipudi, Kalyan Devappa Bamane, Mininath Bendre

“…Further refinement was conducted using filter-based methods—Symmetrical Uncertainty (SU), Information Gain (IG), and Gain Ratio (GR)—leading to a final subset of 104 optimal features. …”
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Combination of Feature Selection and Learning Methods for IoT Data Fusion by V. Sattari-Naeini, Zahra Parizi-Nejad

“…The results derived from five compound schemes are investigated andcompared with each other with three metrics, namely, Quality of Train (QoT) Accuracy (Ac) and StorageCapacity (SC). While the Re-P scheme is only capable of separating classes that are linearly separable,Re-GAPSO one is a dynamic method, appropriate for constantly changing problems of the real life. …”
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Design of optimization strategy-based halal supply chain at a meat market in Indonesia by Rizqa Ula Fahadha, Sutarto Sutarto

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Research into Robust Federated Learning Methods Driven by Heterogeneity Awareness by Junhui Song, Zhangqi Zheng, Afei Li, Zhixin Xia, Yongshan Liu

“…Federated learning (FL) has emerged as a prominent distributed machine learning paradigm that facilitates collaborative model training across multiple clients while ensuring data privacy. Despite its growing adoption in practical applications, performance degradation caused by data heterogeneity—commonly referred to as the non-independent and identically distributed (non-IID) nature of client data—remains a fundamental challenge. …”
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Value chain optimization in large scale gas network considering elevation and transmission direction by Xifeng Ning, Jinfeng Qiu, Dejun Yu

“…Numeric experiments demonstrate the method’s efficiency in generating high-quality solutions for the optimization problem.…”
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Selection and Application of Specific Nucleic Acid Aptamers for the Detection of Pseudomonas aeruginosa by LI Xu, CHENG Yangyang, YANG Kai, LIU Benkang, LI Cheng

“…For rapid and sensitive detection of pathogenic bacterium Pseudomonas aeruginosa, the whole-cell systematic evolution of ligands by exponential enrichment (SELEX) technique was used to select single-stranded DNA (ssDNA) aptamers specific for P. aeruginosa. …”
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Optimal Coordination of Directional Overcurrent Relays Using an Innovative Fractional-Order Derivative War Algorithm by Bakht Muhammad Khan, Abdul Wadood, Herie Park, Shahbaz Khan, Husan Ali

“…Comparative evaluations reveal that FODWO outperforms other state-of-the-art nature-inspired algorithms and traditional optimization methods, making it a highly effective tool for DOCR coordination in EPSs.…”
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An improved lightweight method based on EfficientNet for birdsong recognition by Haolun He, Hui Luo

“…To improve the convenience of birdsong recognition, this study proposes a more lightweight model based on the original EfficientNet-B0 architecture. The proposed method introduces the ECA attention mechanism to reduce the parameter complexity while improving feature expression. …”
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Microservice combination optimisation based on improved gray wolf algorithm by Jingjing Hu, Xiaojun Xu, Jin Hao, Xiuqi Yang, Kefan Qiu, Yuanzhang Li

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Tactics of Primary Emergency Radiation Diagnosis of Politrauma by Yu. G. Shapkin, P. A. Seliverstov, N. Yu. Stekolnikov

“…The review considers the problem of choosing the optimal tactical approach to primary emergency radiation diagnosis of injuries during polytrauma based on data on indications for use, advantages and disadvantages of modern methods and protocols of radiation imaging. …”
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New Heuristic Local Search Method for University Course Timetabling by Mohammad Sadegh Shiri, Mostafa Khorramizadeh, Vahid Ahmadi

“…In the second phase, several new neighbourhood functions are used to improve the quality of computed feasible solutions. While the fitness function of the first phase is based on the violation of hard constraints, the fitness function of the second phase is based on the penalty of the feasible solution.Findings: The numerical results indicate that the required computing time increases with the size of instances, and the algorithm tends to converge towards the optimal solution after a few minutes.Originality/Value: The presented algorithm enables us to deal with extensive university course timetabling problems in practice. …”
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Hybrid Ensemble Pruning Using Coevolution Binary Glowworm Swarm Optimization and Reduce-Error by Xuhui Zhu, Zhiwei Ni, Pingfan Xia, Liping Ni

“…Experimental results indicate that, compared to other frequently used methods, the proposed HEPCBR achieves significantly superior performance in classification.…”
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Surviving Colonies of <i>Pseudomonas aeruginosa</i> Isolated In Vivo from Infected, Antibiotic-Treated <i>Galleria mellonella</i> Larvae Acquire an Antibiotic-Tolerant Phenotype by Alex McCormack, Joanne K. Hobbs, Paul R. Johnston, Peter J. Coote

“…<b>Background:</b> The aim of this work was to induce the formation of antibiotic-tolerant and/or persister cells in vivo using antibiotic therapy on <i>Galleria mellonella</i> larvae infected with <i>P. aeruginosa</i>, isolate these surviving cells, and characterise their phenotype and genotype. <b>Methods</b>: Infected larvae were treated with effective doses of either ceftazidime or meropenem. …”
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Multiple objectives escaping bird search optimization and its application in stock market prediction based on transformer model by Dedai Wei, Zimo Wang, Minyu Qiu, Juntao Yu, Jiaquan Yu, Yurun Jin, Xinye Sha, Kaichen Ouyang

“…Despite the availability of various forecasting methods, such as CNN, LSTM, BiLSTM, GRU, and Transformer, the hyperparameter optimization of these models often faces limitations, particularly in single-objective optimization, where they can easily fall into local optima. …”
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Efficiency management of engineering projects based on particle swarm multi objective optimization algorithm by Xiu Luo, Zhouxin Yi

“…A research proposes an optimization method for engineering project efficiency management based on multi-objective particle swarm optimization algorithm. …”
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