Power Line Segmentation Algorithm Based on Lightweight Network and Residue-like Cross-Layer Feature Fusion by Wenqiang Zhu, Huarong Ding, Gujing Han, Wei Wang, Minlong Li, Liang Qin

“…Experimental results demonstrate that compared with classical UNet, the optimized network achieves 2.05% and 2.58% improvements in F1-Score and IoU, respectively, while reducing the parameter count to 57.25% of the original model. The algorithm achieves better performance improvements in both accuracy and lightweighting, making it suitable for edge-side deployment.…”
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Improved Energy Efficient Anytime Optimistic Algorithm for PEGASIS to Extend Network Lifetime in Homogeneous and Heterogeneous Networks by Tadele A. Abose, Venumadhav Tekulapally, Samuel T. Daka, Diriba C. Kejela, Alemayehu E. Duguma, Desalegn T. Degaga

“…The proposed IEE AO algorithm is compared with several existing models, including low energy adaptive clustering hierarchy (LEACH), stable election protocol (SEP), ant colony optimization (ANT), and anytime optimistic (AO) algorithms, under both MAX energy and sequential energy criteria. …”
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Optimizing anomaly detection models for edge IIoT with an enhanced firefly algorithm-based hyperparameter tuning strategy by Mohemmed Yousuf Rahamathulla, Mangayarkarasi Ramaiah

“…Reliable cyberattack detection is the main goal; hence, minimizing computing overhead during deployment is crucial for both real-time and edge-based solutions. The suggested EFA enhances convergence toward the global optimum by including a suitable stochastic component generator that improves both exploration and exploitation ability. …”
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Digital image enhancement using deep learning algorithm in 3D heads-up vitreoretinal surgery by Sung Ha Hwang, Young Jae Kim, Jae Bok Cho, Kwang Gi Kim, Dong Heun Nam

“…Both surgical and fundus images are digitally enhanced using a deep learning algorithm. …”
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Advanced biped gait generator using NARX-MLP neural model optimized by enhanced evolutionary algorithm by Tran Thien Huan, Ho Pham Huy Anh

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A steady state micro genetic algorithm for hyper-heuristic generation in one-dimensional bin packing by Julio Juárez, Jesús Guillermo Falcón-Cardona, José Carlos Ortiz-Bayliss

“…Due to the complexity of the problem, exact algorithms are often impractical for large instances, which has led to a reliance on tailored heuristics that may perform well on some instances but poorly on others. …”
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Performance Comparison of Vertex Block Descent and Position Based Dynamics Algorithms Using Cloth Simulation in Unity by Jun Ma, Nak-Jun Sung, Min-Hyung Choi, Min Hong

“…Among various types of physical simulations of deformable objects, fluids, and cloth dynamics, cloth simulations were chosen for implementation with both algorithms. The experimental setup ensured identical parameters, including time steps and movement behavior, for both algorithms across scenarios involving hanging, object-to-object collisions, and self-collisions. …”
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Python algorithm package for automated Estimation of major legume root traits using two dimensional images by Amit Ghimire, Yong Suk Chung, Sungmoon Jeong, Yoonha Kim

“…Although the observed error metrics were minimal for both software, the algorithm-derived root traits were closely aligned with those derived from WinRHIZO. …”
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Animation Pose Generation Model Based on Kinect Depth Image and Occlusion-Robust Pose-Maps Algorithm by Zhenxi Yu, Ting Wang, Peng Tian, Xuejie Li

“…In the evaluation of registration error, the research model showed the lowest error on both datasets, and the error values did not exceed 2. …”
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Multi-Objective Optimization for the Low-Carbon Operation of Integrated Energy Systems Based on an Improved Genetic Algorithm by Yao Duan, Chong Gao, Zhiheng Xu, Songyan Ren, Donghong Wu

“…This paper proposes an improved genetic algorithm (IGA) designed to optimize the multi-objective low-carbon operations of IESs, aiming to minimize both operating costs and carbon emissions. …”
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An efficient surface electromyography-based gesture recognition algorithm based on multiscale fusion convolution and channel attention by Bin Jiang, Hao Wu, Qingling Xia, Hanguang Xiao, Bo Peng, Li Wang, Yun Zhao

“…Moreover, this method reduces the algorithmic complexity from both spatial and temporal aspects, rendering it smaller in size and faster in computation compared to other lightweight algorithms. …”
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Body Weight Estimation in Holstein × Zebu Crossbred Heifers: Comparative Analysis of XGBoost and LightGBM Algorithms by Jose Herrera‐Camacho, Cem Tırınk, Rosa Inés Parra‐Cortés, Lütfi Bayyurt, Rashit Uskenov, Karlygash Omarova, Aizhan Makhanbetova, Kadyrbai Chekirov, Alfonso Juventino Chay‐Canul

“…The study compares the performance of both algorithms using a wide range of biometric measurements and tests various hyperparameter settings. …”
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Analyses of PO-Based Fuzzy Logic-Controlled MPPT and Incremental Conductance MPPT Algorithms in PV Systems by Fevzi Çakmak, Zafer Aydoğmuş, Mehmet Rıda Tür

“…This manuscript aims to increase the utilization of solar energy, which is both environmentally friendly and easily accessible, to satisfy the energy needs of developing countries. …”
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A Novel Black Widow Optimization Algorithm Based on Lagrange Interpolation Operator for ResNet18 by Peiyang Wei, Can Hu, Jingyi Hu, Zhibin Li, Wen Qin, Jianhong Gan, Tinghui Chen, Hongping Shu, Mingsheng Shang

“…Hyper-parameters play a critical role in neural networks; they significantly impact both training effectiveness and overall model performance. …”
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ТHЕ ALGORITHM OF ANALYSIS OF AGRICULTURAL RISKS UNDER INFLUENCE OF INCOMPLETE INFORMATION ABOUT THEIR PARAMETERS by L. O. Lomovskykh, O. V. Mandych, O. O. Kovalenko, N. A. Karasova, A. Orzeł

“…In the course of the research it is suggested to use both the analytical approach and the simulation model for the formation of the algorithm. …”
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Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms by Anjan Kumar Pradhan, Prasad Gandham, Kanniah Rajasekaran, Niranjan Baisakh

“…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …”
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Multi-UAV Trajectory Optimization Under Dynamic Threats: An Enhanced GWO Algorithm Integrating a Priori and Real-Time Data by Zihan Zhou, Yanhong Guo, Yitao Wang, Jingfan Lyu, Haoran Gong, Xin Ye, Yachao Li

“…Furthermore, the enhanced GWO algorithm outperforms both the traditional GWO and MP-GWO algorithms in terms of trajectory cost and convergence accuracy. …”
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Optimizing energy use efficiency and environmental performance in cotton and canola production using the Imperialist Competitive Algorithm by Mousa Mirmoradi, Mohammad Gholami Parashkoohi, Hamed Afshari, Ahmad Mohammadi

“…This study focuses on optimizing energy efficiency and environmental performance in the production of cotton and canola through the application of the Imperialist Competitive Algorithm (ICA). Conducted in the Dasht-e Gorgan region of Iran, the research provides a comprehensive analysis of energy inputs and outputs for both crops. …”
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European ILD registry algorithm for self-assessment in interstitial lung diseases (eurILDreg ASA-ILD). by Ekaterina Krauss, Laurenz H Claas, Silke Tello, Jennifer Naumann, Sandra Wobisch, Stefan Kuhn, Raphael W Majeed, Karen Moor, Maria Molina-Molina, Oisin Byrne, Rebecca Borton, Marlies S Wijsenbeek, Nik Hirani, Carlo Vancheri, Bruno Crestani, Andreas Guenther, eurILDreg investigators

“…The algorithm also incorporates spirometry and oxygen saturation measurements, both at rest and during exercise (one-minute sit-to-stand test, 1STST). …”
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The construction of HMME-PDT efficacy prediction model for port-wine stain based on machine learning algorithms by Hongxia Yan, Yixin Tan, Fan Qiao, Zhuotong Zeng, Yaqian Shi, Xueqin Zhang, Lu Li, Ting Zeng, Yi Zhan, Ruixuan You, Xinglan He, Rong Xiao, Xiangning Qiu

“…In the validation cohort, XGBoost model achieved an accuracy and F1 score both greater than 0.73, with an AUC value of 0.7672. …”
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