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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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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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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Deep learning and fuzzy algorithm in improving the effectiveness of college English translation teaching by Biao Kong, Che He

“…The traditional teaching methods are inadequate in evaluating translation quality and correcting translation errors, which is difficult to meet the actual needs of students. …”
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CNN-Based Medical Ultrasound Image Quality Assessment by Siyuan Zhang, Yifan Wang, Jiayao Jiang, Jingxian Dong, Weiwei Yi, Wenguang Hou

“…The quality of ultrasound image is a key information in medical related application. …”
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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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Image information optimization processing based on fractional order differentiation and WT algorithm. by Qiong Long

“…To improve the quality of complex images, research proposes an image information optimization processing method based on fractional order differentiation and WT algorithm. …”
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Models of user experience quality in computer information systems by П. Р. Пелех, В. М. Юзевич

“… This paper introduces a unified, scalable, and context-aware framework for evaluating user experience quality (QuE) in computer information systems by proposing the Enhanced Perceived Quality of User Experience (EPQuE) metric. …”
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Determination of sugar in tangerines by fluorescence with an Improved partial least squares (PLS) algorithm by Lei Liu, Chunzhong Li, Haiyi Bian, Ahmed N Abdalla, Hua Yao, Wen Li

“…These findings open the door to broader applications in the citrus industry and beyond, with the potential for automating the analysis process and improving overall quality control.…”
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Delivering Diagnostic Quality Video over Mobile Wireless Networks for Telemedicine by Sira P. Rao, Nikil S. Jayant, Max E. Stachura, Elena Astapova, Anthony Pearson-Shaver

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Adding Data Quality to Federated Learning Performance Improvement by Ernesto Gurgel Valente Neto, Solon Alves Peixoto, Valderi Reis Quietinho Leithardt, Juan Francisco de Paz Santana, Julio C. S. Dos Anjos

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Sharpbelly Fish Optimization Algorithm: A Bio-Inspired Metaheuristic for Complex Engineering by Jian Liu, Rong Wang, Yonghong Deng, Xiaona Huang, Zhibin Li

“…In these applications, SFO exhibits strong robustness and solution quality, validating its potential as a general-purpose optimization tool for complex real-world problems. …”
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A navigation satellite selection algorithm for optimized positioning based on Gibbs sampler by Na Xia, Qinan Zhi, Menghua He, Yunqing Hong, Huazheng Du

“…Then, the geometric dilution of precision is chosen as an objective function to evaluate the scheme’s quality. In addition, the scheme is updated by the conditional probability distribution model of the Gibbs sampler algorithm, and it gradually approaches the global optimal solution of the satellite combination with better geometric distribution of the space satellite. …”
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TCGCL: Complex Network Traffic Classification Algorithm Based on Graph Contrastive Learning by HU Zhongze, QIN Hongchao, LI Zhenjun, LI Yanhui, LI Ronghua, WANG Guoren

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