Mathematical Formalization and Algorithmization of the Main Modules of Organizational and Technical Systems by A. A. Solodov

“…In this regard, the key aspect of the work is to study the optimal algorithms for evaluating the state of processes occurring in the organizational and technical systems and develop on this basis the principles of mathematical formalization and algorithmization of the status assessment module. …”
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Noise Impact Analysis in Computer-Generated Holography Based on Dual Metrics Evaluation via Peak Signal-to-Noise Ratio and Structural Similarity Index Measure by Yucheng Li, Yang Zhang, Deyu Jia, Song Gao, Muqun Zhang

“…The findings provide theoretical guidance for noise suppression, parameter optimization, and algorithm selection in CGH systems, advancing its applications in optical encryption and high-precision imaging.…”
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An Evaluation Method for Distribution Network Operation Based on Multi-source Data Deep Fusion by Junfeng QIAO, Aihua ZHOU, Lin PENG, Yiqing WANG, Xiaofeng SHEN, Sen PAN, Pei YANG, Chenhong HUANG

“…Finally, a distribution network operation evaluation system is developed to support the unified access of multi-source heterogeneous data from various business systems of the distribution network, achieving the visualization and intelligent application of distribution network evaluation functions. …”
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Efficient Pathfinding on Grid Maps: Comparative Analysis of Classical Algorithms and Incremental Line Search by Amr Elshahed, Majid Khan Bin Majahar Ali, Ahmad Sufril Azlan Mohamed, Farah Aini Binti Abdullah, Ts. Lee Jian Aun

“…However, these algorithms can be computationally inefficient in large-scale or real-time environments. …”
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Revalorization of Vinasse as a Farmland Improver Through Multi-Objective Genetic Algorithms: A Circular Economy Approach by Aarón Montiel-Rosales, Nayeli Montalvo-Romero, Gregorio Fernández-Lambert, Horacio Bautista-Santos, Yair Romero-Romero, Juan Manuel Carrión-Delgado

“…The methodology included five phases where the properties of the cultivated land with and without vinasse were evaluated; with the experimental data, MOGAs were constructed to evaluate soil: (a) fertility, (b) quality, and (c) health. …”
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Optimization Strategies for Electric Vehicles: A Review of Evolutionary, Swarm, and Hybrid Algorithms by Kumar A. Vijay, Manohar V. Joshi

“…These techniques are evaluated against key metrics, including solution quality, convergence speed, computational cost, and robustness, illustrating how advancements over time have more effectively tackled the challenges associated with optimizing electric vehicle (EV) operation scenarios. …”
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Comparative analysis of machine learning algorithms for predicting depression among individuals with diabetes by Hind Bourkhime, Noura Qarmiche, Soumaya Benmaamar, Nada Lazar, Mohammed Omari, Mohamed Berraho, Nabil Tachfouti, Samira El Fakir, Hanan El Ouahabi, Nada Otmani

“…The algorithms evaluated include logistic regression (LR), k-nearest neighbors (KNN), decision tree (DT), random forest (RF), Adaptive Boosting (AdaBoost), support vector machine (SVM), Extreme Gradient Boosting (XGBoost), and Categorical Boosting (CatBoost). …”
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Predicting Dilution in Underground Mines with Stacking Artificial Intelligence Models and Genetic Algorithms by Jorge L. V. Mariz, Tertius S. G. Ferraz, Marinésio P. Lima, Ricardo M. A. Silva, Hyongdoo Jang

“…The proposed framework incorporates a 10-fold cross-validation procedure with 30 repetitions, along with the application of nonparametric statistical tests. A total of eight supervised machine learning algorithms were investigated, with their hyperparameters systematically optimized using two distinct genetic algorithm (GA) strategies evaluated under varying population sizes. …”
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An Algorithm of Decomposing the Trend and Cyclical Components of FDI Inflows: the Case of Ukraine by Bogdan A. Moskalenko, Pavlin Mitev

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CNN-Based Kidney Segmentation Using a Modified CLAHE Algorithm by Abror Shavkatovich Buriboev, Ahmadjon Khashimov, Akmal Abduvaitov, Heung Seok Jeon

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Multi-Objective Robust Optimization Reconstruction Algorithm for Electrical Capacitance Tomography by Xuejie Yang, Jing Lei, Qibin Liu

“…Qualitative and quantitative evaluation results demonstrate that the proposed method surpasses mainstream imaging algorithms, enhancing the automation level of the reconstruction process and image quality while exhibiting exceptional robustness. …”
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Software Defect Prediction Based On Deep Learning Algorithms : A Systematic Literature Review by Akhlas Hasan, Shayma Mohi-Aldeen

“…A comprehensive review of studies in this area was completed to answer the research questions and summarize the results from the initial investigations. 30 primary studies that passed the systematic review quality assessment of the studies were used. However, the six most common evaluation metrics used in SDP were confusion matrix, Scoar-1F, recall, precision, accuracy, and area under the curve (AUC). …”
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Automatic Morpheme Segmentation for Russian: Can an Algorithm Re-place Experts? by Дмитрий Алексеевич Морозов, Тимур Александрович Гарипов, Ольга Николаевна Ляшевская, Светлана Олеговна Савчук, Борис Леонидович Иомдин, Анна Валерьевна Глазкова

“…Due to the differences in task formulation and datasets utilized, comparing the quality of these algorithms is challenging. It is unclear whether the errors in the models are due to the ineffectiveness of algorithms themselves or to errors and inconsistencies in the morpheme dictionaries. …”
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Optimal Power Flow using An Optimally Tuned Pattern Search Algorithm by Firmansyah Nur Budiman, Taufal Hidayat, Rudi Uswarman

“…The performance of the OPS algorithm is evaluated based on objective function values and computation times and is compared with IPM and two popular metaheuristic techniques, particle swarm optimization (PSO) and genetic algorithm (GA). …”
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Automated Generation of Hybrid Metaheuristics Using Learning-to-Rank by Xinru Xue, Ting Shu, Jinsong Xia

“…Metaheuristic algorithms, due to their superior global exploration capabilities and applicability, have emerged as critical tools for addressing complicated optimization tasks. …”
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A Software Defined Network of Video Surveillance System Based on Enhanced Routing Algorithms by Mustafa I. Salman et al.

“…In addition, different routing algorithms are ‎used with different steps. First, we evaluate the video transmission over the SDN with ‎Bellman Ford algorithm. …”
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Soft detection model of corrosion leakage risk based on KNN and random forest algorithms by Yang YANG, Chengzhi LI, Xuan DU, Xiao YU, Shaohua DONG

“…Therefore, it is vital to develop a method for predicting and evaluating corrosion leakage risks. Methods Key indicators associated with corrosion leakage risks were selected through a correlation analysis. …”
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Multi-Task Image Restoration Algorithm Under Different Weather Influence Factors by Lingwen Meng, Mingyong Xin, Junwei Zhang, Fu Zou, Qingqing Zhao

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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…Its robustness to noise make it a practical choice for real-world applications， where data quality may be affected by environmental and operational conditions. …”
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Development of K-PANOSE Algorithm for Measuring and Classifying Shape Elements of Hangul Fonts by Soon-Bum Lim, Hyun-Young Kim, Kanghyeon Seo, Juhan Yoo, Yoojeong Song

“…This advancement enables broader applications, including font recommendation systems, digital typography, and AI-driven design automation, ultimately contributing to the quality, accessibility, and diversity of Korean typography.…”
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