Viewpoint Selection for 3D Scenes in Map Narratives by Shichuan Liu, Yong Wang, Qing Tang, Yaoyao Han

“…The chaotic particle swarm optimization (CPSO) algorithm is utilized to locate the viewpoint position while maximizing the fitness function, identifying a viewpoint meeting narrative and visual salience requirements. …”
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Optimization of the size and location of the FOVs for CBCT capture of impacted lower third molars by Marc Anton Fuessinger, Maximilian Frederik Russe, Leonard Simon Brandenburg, Marc Christian Metzger, Johannes Schulze, Stefan Schlager, Jonas Wuester, Wiebke Semper-Hogg

“…Discussion This research provides indication-specific FOVs for uni- and bilateral imaging of the upper and lower 3 M. Taking into account optimal clinical practices for CBCT imaging, this study aims to propose clinically feasible FOV dimensions while meeting the technical specifications of commonly used CBCT devices. …”
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The potential habitat of Phlomoides rotata in Tibet was based on an optimized MaxEnt model by Jun-Wei Wang, Jun-Wei Wang, Min Xu, Norbu Ngawang, Yonghao Chen, Ngawang Bonjor, Xiaoyan Jia, Zhefei Zeng, Zhefei Zeng, La Qiong, La Qiong

“…However, overharvesting and climate change have progressively reduced its distribution range, threatening its survival.MethodsThis study employed an optimized MaxEnt model, integrating field survey data and multiple environmental variables, to predict and analyze the potential suitable distribution of P. rotata in Tibet.ResultsThe model achieved high predictive accuracy, with Ture skill statistic (TSS) = 0.87 and Cohen’s Kappa Coefficient (Kappa) = 0.81. …”
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Conservative or surgical treatment? Optimizing management strategies in medial hypertensive intracerebral hemorrhages by M.Ye. Polishchuk, A.A. Kaminskyi, A.A. Oblyvach, D.V. Shchehlov, O.M. Honcharuk, A.V. Muravskyi

“…Objective ‒ to determine the optimal treatment strategy for patients with medial hypertensive intracerebral hemorrhages (ICH) by comparing the effectiveness of conservative and surgical approaches. …”
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Optimizing therapeutic outcomes of immune checkpoint blockade by a microbial tryptophan metabolite by Giorgia Renga, Emilia Nunzi, Marilena Pariano, Matteo Puccetti, Marina Maria Bellet, Giuseppe Pieraccini, Fiorella D’Onofrio, Ilaria Santarelli, Claudia Stincardini, Franco Aversa, Francesca Riuzzi, Cinzia Antognelli, Marco Gargaro, Oxana Bereshchenko, Maurizio Ricci, Stefano Giovagnoli, Luigina Romani, Claudio Costantini

“…Here we have assessed whether microbial metabolites working at the interface between microbes and the host immune system may optimize ICI therapy.Methods To this purpose, we have tested indole-3-carboxaldehyde (3-IAld), a microbial tryptophan catabolite known to contribute to epithelial barrier function and immune homeostasis in the gut via the aryl hydrocarbon receptor (AhR), in different murine models of ICI-induced colitis. …”
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Improved Block Element Method for Simulating Rock Failure by Yan Han, Qingwen Ren, Lei Shen, Yajuan Yin

“…As the innovation of this work, the iterative algorithm is combined with polygonal geometric features so that the area–perimeter fractal dimension can be introduced to optimize random Voronoi grids. The iterative control index can effectively improve the geometric characteristics of the grid while maintaining the necessary randomness. …”
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Modeling Energy Communities: A Case Study of Quantum Approximate Optimization on a Superconducting Processor by Mateo Alonso, Guillermo Rubinos Rodriguez, Pablo Diez-Valle, Ana Garbayo, Xela Garcia-Santiago, Gonzalo Blazquez Gil

“…Given the increasing complexity as the problem size grows and the limitations of classical computing methods in addressing it, we study an approach that models the problem using QUBO and solves it applying quantum optimization algorithms. …”
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Development and research of the quadrupole mass spectrometry simulation model with the entire ion optics system by Lina Yang, Yuqing Gu, Hao Gong, Zi-long Liu, Xingchuang Xiong, Xiang Fang

“…Staged optimization separately treats different parts while global optimization considers all components simultaneously. …”
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A Data-Driven Approach for Energy Consumption Modeling and Optimization of Welding Robot Systems by Minling Pan, Bingqi Jia, Lei Zhang, Haihong Pan, Lin Chen

“…To solve the optimization problem, an improved whale optimization algorithm (IWOA) was employed. …”
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Application of the digital annealer unit in optimizing chemical reaction conditions for enhanced production yields by Shih-Cheng Li, Pei-Hua Wang, Jheng-Wei Su, Wei-Yin Chiang, Tzu-Lan Yeh, Alex Zhavoronkov, Shih-Hsien Huang, Yen-Chu Lin, Chia-Ho Ou, Chih-Yu Chen

“…Our results suggest that the performance of models is comparable to classical machine learning (ML) methods (i.e., Random Forest and Multilayer Perceptron (MLP)), while the inference time of our models requires only seconds with a DAU. …”
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Sunflower-based butterfly optimization algorithm with enhanced RNN for the harmonics elimination in multilevel inverter by V. Mohan, G. Krithiga, M. Thamil Alagan, V. Sathya

“…In this paper, the Sunflower based– Butterfly Optimization Algorithm (SF-BOA) is presented as a method for evaluating transcendental nonlinear equations using an MLI in a SHE approaches. …”
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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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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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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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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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