Design of Hybrid Renewable Energy Systems: Integrating Multi‐Objective Optimization Into a Multi‐Criteria Decision‐Making Framework by Tebello Ntsiki Don Mathaba, Khaled Abo‐Al‐Ez

“…A combination of the MO particle swarm optimization and a newly developed MO leaders‐and‐follower algorithms (MO‐LaF/PSO) is used to generate optimal configurations based on minimal levelized cost of energy (LCOE), renewable energy (RE) power abandonment, and CO2 emissions, while maintaining an acceptable level of reliability. …”
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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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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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Convex Optimization of Markov Decision Processes Based on Z Transform: A Theoretical Framework for Two-Space Decomposition and Linear Programming Reconstruction by Shiqing Qiu, Haoyu Wang, Yuxin Zhang, Zong Ke, Zichao Li

“…The proposed approach introduces three mathematical innovations: (i) a spectral clustering mechanism that reduces state-space dimensionality while preserving Markovian properties, (ii) a Lagrangian dual formulation with adaptive penalty functions to handle operational constraints, and (iii) a warm start algorithm accelerating convergence in high-dimensional convex optimization. …”
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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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An Operation Optimization Strategy of the Combined Power Generation System with Wind Power & Pumped Storage Based on Improved Whale Algorithm by LI Kecheng, YANG Ning

“…Select the appropriate solution from the obtained optimal solution set to obtain the operation optimization strategy of the combined power generation system, which can achieve better economic benefits and maximum wind energy utilization while smoothing the system output power.…”
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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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Hybrid Optimization-Based Sequential Placement of DES in Unbalanced Active Distribution Networks Considering Multi-Scenario Operation by Ruihua Si, Xintong Yan, Wanxun Liu, Ping Zhang, Mengdi Wang, Fengyong Li, Jiajia Yang, Xiangjing Su

“…Subsequently, the sizing and scheduling of DES for the selected location are conducted through coordinated optimization across the inter and inner layers, which can be solved using a hybrid method combining particle swarm optimization and second-order cone programming (PSO-SOCP). …”
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RRT-Based Optimizer: A Novel Metaheuristic Algorithm Based on Rapidly-Exploring Random Trees Algorithm by Guang-Jin Lai, Tao Li, Bao-Jun Shi

“…Consequently, new optimization methods are required. Inspired by the search mechanism of the Rapidly-exploring Random Trees (RRT) algorithm commonly used in robot path planning, we propose a novel metaheuristic algorithm called RRT-based Optimizer (RRTO). …”
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Accelerated Modeling of Transients in Electromagnetic Devices Based on Magnetoelectric Substitution Circuits by Sergii Tykhovod, Ihor Orlovskyi

“…Comparing the application of various polynomials enables the selection of the optimal polynomial type. The proposed method has advantages over other known methods. …”
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Achieving cloud resource optimization with trust-based access control: A novel ML strategy for enhanced performance by Bala Subramanian C, Bharathi ST, Shanmugapriya S

“…This paper presents AdaPCA—a novel method that integrates the adaptive capabilities of AdaBoost with the dimensionality-reduction efficacy of PCA. …”
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A novel strategy to optimize resources to boost production in rice-fish coculture at Ziro Valley, India by Ayan Samaddar, Dani Kacha, Anilava Kaviraj, Sarah Freed, Arun Panemangalore Padiyar, Sambhu Das, Subrata Saha

“…Moreover, improving farmers’ technical knowledge and skills through institutional support and policy interventions was deemed vital for establishing rice-fish coculture as a sustainable livelihood in Ziro Valley. In conclusion, while the Apatani community’s traditional rice-fish coculture system offers a foundation for sustainable agriculture, targeted optimization of resource utilization, combined with enhanced training and institutional support, is essential to realize its full potential in improving productivity and ensuring long-term sustainability.…”
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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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Synergistic Hierarchical Bi-Level Optimization of Demand Response Programs and Smart Inverter Volt/Var Control for Maximizing Hosting Capacity of Power Systems With Renewable-Based... by Zenhom M. Zenhom, Shady H. E. Abdel Aleem, Essam Aboul Zahab, Ziad M. Ali, Abdulaziz Almalaq, Tarek A. Boghdady

“…The results show that applying DR alone can increase the average maximum HC value by 29.4%, while combining DR with optimal Volt/VAR control can achieve a 39.6% increase.…”
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Surface display of eugenol oxidase and dioxygenase complex as a sustainable biocatalyst for efficient bioconversion of lignin-derived 4-n-propylguaiacol to vanillin by Yongqing Tian, Yige Yang, Minmin Ni, Jing Wo

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Privacy-preserving method for face recognition based on homomorphic encryption. by Zhigang Song, Gong Wang, Wenqin Yang, Yunliang Li, Yinsheng Yu, Zeli Wang, Xianghan Zheng, Yang Yang

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New Approaches to AI Methods for Screening Cardiomegaly on Chest Radiographs by Patrycja S. Matusik, Zbisław Tabor, Iwona Kucybała, Jarosław D. Jarczewski, Tadeusz J. Popiela

“…We aimed to investigate the performance and efficiency of artificial intelligence (AI) in screening for cardiomegaly on CXRs. Methods: The U-net architecture was designed for lung and heart segmentation. …”
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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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Postoperative Wound Complications in Obstetrics and Gynecology. Treatment and prevention methods by Mirosław Sawicki, Wojciech Nowak, Maciej Gołębski, Jagoda Mikołajczyk, Zuzanna Kukla, Stella Mieruszyńska, Paulina Krzemińska, Izabela Sadowska, Jakub Włosiański, Sebastian Musialik

“…This study aims to analyze and evaluate current prevention and treatment methods for postoperative wound complications, focusing on cesarean sections, while identifying innovative approaches and knowledge gaps to inspire further research. …”
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