Ternary Historical Memory-Based Robust Clustered Particle Swarm Optimization for Dynamic Berth Allocation and Crane Assignment Problem by Ruiqi Wu, Shiming Mao, Yi Sun

“…To address the limitations of existing methods in handling large-scale and high-disturbance scenarios, this paper proposes a novel optimization framework: Ternary Historical Memory-based Robust Clustered Particle Swarm Optimization (THM-RCPSO). …”
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DA-IRRK: Data-Adaptive Iteratively Reweighted Robust Kernel-Based Approach for Back-End Optimization in Visual SLAM by Zhimin Hu, Lan Cheng, Jiangxia Wei, Xinying Xu, Zhe Zhang, Gaowei Yan

“…The robustness parameters are adaptively adjusted according to the MAD of reprojection errors, and the Huber kernel function is used to demonstrate the implementation of the back-end optimization process. The method is compared with other robust function-based approaches via the EuRoC dataset and the KITTI dataset, showing adaptability across different VSLAM frameworks and demonstrating significant improvements in trajectory accuracy on the vast majority of dataset sequences. …”
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Optimizing surgical precision: a comparative study of three-port vs. four-port robotic-assisted lobectomy for NSCLC by Fangfang Yang, Lei Chen, Hui Wang, Qianyun Wang, Chen Yang

“…Operative incision optimization leads to less postoperative pain and appears to be more acceptable for patients with NSCLC.…”
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Optimizing trickling filter Systems: Comparative analysis of integrated municipal wastewater treatment configurations within a biorefinery framework by Behnam Askari Lasaki, Peter Maurer, Harald Schönberger

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Motion Gait Recognition of Lower Limb Exoskeleton Based on Particle Swarm Optimization-Based Extreme Learning Machine Algorithm by Ting Liu, Kai Liu, Wuyi Luo, Jiange Kou, Haoran Zhan, Guangkai Yu, Qing Guo, Yan Shi

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Sex differences in the association between atherogenic index of plasma and progression from normoglycemia to prediabetes: evidence from a 5-year large-scale retrospective cohort st... by Chufu Yang, Qiying Chen, Weiyan Li, Chuang Gao, Yong Han, Jiaqian Zhu

“…In women, the relationship was linear.ConclusionThis study demonstrated that elevated AIP was positively associated with the risk of progression from normoglycemia to pre-DM, with a significant sex difference in this relationship. This provides a reference for individualized risk stratification and management strategies for different sex populations and offers new perspectives for optimizing strategies to prevent pre-DM and DM.…”
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Global Burden of Kidney Cancer Attributable to High Body Mass Index in Adults Aged 60 and Older from 1990 to 2021 and Projections to 2040: A Systematic Analysis for the Global Burd... by Lin J, Zhang Z, Meng X, Yin X, Pu L, Xiang C, Yang J

“…Disparities across regions, genders, and age groups highlight the need for targeted prevention and early intervention, especially for high-risk groups (males, elderly, low-middle SDI regions), to reduce burden and optimize healthcare resource allocation.Keywords: kidney cancer, high BMI, elderly, SDI, gender differences, trend projection…”
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Characterization of Series Resistance and Mobility Degradation Parameter and Optimizing Choice of Oxide Thickness in Thin Oxide N-Channel MOSFET by Noureddine Maouhoub, Khalid Rais

“…The principle of the first method is based on the comparison between the exponential model and the classical model of effective mobility and for the second method is based on directly calculating the two parameters by solving a system of two equations obtained by using two different points in strong inversion at small drain bias from the characteristic 𝐼𝑑 (𝑉𝑔). …”
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Toward Smart Condition Monitoring of Rotatory Machines: An Optimized Probabilistic Signal Reconstruction Methodology for Fault Prediction With Multisource Uncertainties by Xiaomo Jiang, Weijian Tang, Haixin Zhao, Xueyu Cheng

“…This is still a very challenging topic in various industrial fields because of data imperfection and multivariate correlation, as well as the variation in faults and components in different machines. This paper presents an optimized probabilistic signal reconstruction methodology to address these challenges in the fault prediction of rotatory machines using multivariate vibration signals. …”
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Optimization of Fetal Biometry With 3D Ultrasound and Image Recognition (EPICEA): protocol for a prospective cross-sectional study by Marine Beaumont, Olivier Morel, Gabriela Hossu, Gaëlle Ambroise Grandjean, Claire Banasiak, Cybele Ciofolo-Veit, Caroline Raynaud, Laurence Rouet

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Boundary Guidance Strategy and Method for Urban Traffic Congestion Region Management in Internet of Vehicles Environment by Chuanxiang Ren, Zhen Wang, Changchang Yin, Hui Xu, Li Wang, Luyao Guo, Juntao Li

“…The strategy considers the optimal operation state of traffic congestion region and is divided into two categories according to different destinations of traffic demands. …”
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FDIA Detection in Power Grid Based on Opposition-Based Whale Optimization Algorithm and Multi-layer Extreme Learning Machine by Lei XI, Yixiao WANG, Miao HE, Chen CHENG, Xilong TIAN

“…Therefore, this paper proposes a FDIA location detection method based on opposition-based learning whale optimization algorithm and multi-layer extreme learning machine (OWOA-ELMML). …”
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Clustering analysis of Yue opera character tone trends based on quantum particle swarm optimization for fuzzy C-means. by Yuhang Zhang, Xiaofeng Wu, Jiawei Xu, Zihao Ning, Xiao Han

“…Linear interpolation is applied to process the time series data of vocal melodies, addressing inconsistent feature dimensions. The second-order difference method extracts tonal trend features. We introduce a fuzzy C-means clustering method enhanced by quantum particle swarm optimization (QPSO) to manage data uncertainties, improving classification accuracy and convergence speed. …”
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Real-time active cell balancing using QPSO-controlled switched capacitor and transformer methods by S. Ida Evangeline, B. Subashini

“…To address these limitations, this paper proposes a novel hybrid active balancing approach that integrates switched capacitor and transformer-based techniques, dynamically controlled by a quantum particle swarm optimization algorithm. The hybrid system combines the speed of switched capacitor balancing for localized voltage differences with the long-range capabilities of transformer-based balancing, enabling efficient energy redistribution across large battery packs. …”
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Research on Sensitivity Improvement Methods for RTD Fluxgates Based on Feedback-Driven Stochastic Resonance with PSO by Rui Wang, Na Pang, Haibo Guo, Xu Hu, Guo Li, Fei Li

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Optimized framework for end-around taxiway design: site, efficiency, fuel: a case study at Jinan Yaoqiang airport by Xiaoxi Jiang, Xiaoxi Jiang, Yang Yang

“…In conclusion, EAT design should balance technical requirements with factors like taxiing efficiency, fuel consumption, and investment to achieve airport sustainability. Future studies can optimize EATs via simulation and modeling.…”
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Prospects of cold plasma in enhancing food phenolics: analyzing nutritional potential and process optimization through RSM and AI techniques by M. Anjaly Shanker, Sandeep Singh Rana

“…Response surface methodology (RSM) is one of the common techniques involved in the optimization of these course factors. It also covers the convention of artificial intelligence-based methods, such as artificial neural networks (ANN) and genetic algorithms (GA), in evaluating the data on process parameters. …”
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Integration of multi agent reinforcement learning with golden jackal optimization for predicting average localization error in wireless sensor networks by K. Lakshmi Prabha, Hanan Abdullah Mengash, Hamed Alqahtani, Randa Allafi

“…Existing methodologies, including regression-based models, heuristic approaches, and optimization-driven methods, struggle to generalize across dynamic environments due to their reliance on static parameter configurations. …”
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Study of the Stability, Solubility and Geometry of the Complex of Inclusion β-CD with Nimesulide by Computer Chemistry Methods by Ekaterina S. Barteneva, Pavel Y. Andreev, Elena V. Grekhneva, Kirill S. Efanov

“…This means that there are several conformational forms of the molecular system with likely differences. The change in potential energies of the investigated compounds, caused by their application to optimize the in vacuum molecules of the PCM, allowed us to determine the values of the solvatization energies. …”
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FEATURES OF THE CONTENT AND METHODS OF CONDUCTING CLASS WITH STUDENTS OF THE SPECIAL DEPARTMENT OF THE DISCIPLINE “PHYSICAL CULTURE AND SPORT” by I. A. Kabanova, V. A. Seregina, Т. A. Kachalova

“…The changing features of the work of the special organization, taking into account the number of students and differences, associated with the frequent diseases, have been revealed. …”
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