Research and application of adaptive algorithm for 5G voice quality evaluation by Yuxiang ZHAO, Yaxin JI, Li YU, Tianyi ZHOU, Hang ZHOU

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Application of Ontology Matching Algorithm Based on Linguistic Features in English Pronunciation Quality Evaluation by Shan Zhu

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Retracted: Application of Ontology Matching Algorithm Based on Linguistic Features in English Pronunciation Quality Evaluation by Occupational Therapy International

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Construction and Application of Multi-dimensional Quality Evaluation Model of Government Reply by FU Rao, LIU Huilan

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Evaluation and Application of Machine Learning Techniques for Quality Improvement in Metal Product Manufacturing by Katarzyna Antosz, Lucia Knapčíková, Jozef Husár

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QoS modeling and evaluation of mobile application service based on scene by Yan-zhi HU, Feng-bin ZHANG, Zhi-chun GAN, Tian TIAN, Cai-hua YIN

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Performance Evaluation of Localization Algorithms for WSNs by C. Vargas-Rosales, J. Mass-Sanchez, E. Ruiz-Ibarra, D. Torres-Roman, A. Espinoza-Ruiz

“…In this paper performance of localization algorithms such as range-free, range-based, and fuzzy-based decision is evaluated. …”
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Improving AOD Algorithm Evaluation: A Spatial Matching Method for Minimizing Quality Control Bias by Bailin Du, Bo Zhong, He Cai, Shanlong Wu, Yang Qiao, Xiaoya Wang, Aixia Yang, Junjun Wu, Qinhuo Liu, Jinxiong Jiang, Haizhen Zhang

“…These insights provide valuable guidance for optimizing dataset applications and refining aerosol retrieval algorithms.…”
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Incorporating Intelligence in Multiple-Attribute Decision-Making using Algorithmic Framework and Double-Valued Neutrosophic Sets: Varied Applications to Employment Quality Evaluation for University Graduates by Qiuyan Zhao, Wentao Li

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Research on the Key Issues of Big Data Quality Management, Evaluation, and Testing for Automotive Application Scenarios by Yingzi Wang, Ce Yu, Jue Hou, Yongjia Zhang, Xiangyi Fang, Shuyue Wu

“…To improve the operational efficiency of complex data quality management algorithms in large-scale data scenarios, corresponding parallelization algorithms are studied and implemented for detection and repair algorithms with long computation time, including priority-based multiconditional function-dependent detection and repair algorithms, entity detection, and extraction algorithms based on semantic information and chunking techniques, and plain Bayesian-based missing value filling algorithms, and this paper proposes a data validity evaluation algorithm and enhances the validity of the original data in practical applications by adding temporal weights, and finally it passed the experimental validation. …”
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Quality Evaluation Method for Base Baijiu Based on Support Vector Machine Optimized by Genetic and Bootstrap Aggregating Algorithm by PANG Tingting, ZHANG Guiyu, LIU Kecai, LI Xiaoping, TUO Xianguo, PENG Yingjie, ZENG Xianglin

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APPLICATION OF GENETIC ALGORITHMS FOR SOLVING OPTIMIZATION PROBLEMS OF ENVIRONMENTAL QUALITY by V. A. Riback

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Evaluation Modeling of Electric Bus Interior Sound Quality Based on Two Improved XGBoost Algorithms Using GS and PSO by Enlai ZHANG, Yi CHEN, Liang SU, Ruoyu ZHONGLIAN, Xianyi CHEN, Shangfeng JIANG

“…And nine psycho-acoustic objective parameters such as loudness, sharpness and roughness were calculated using Artemis software to establish the sound quality database of electric buses. Aiming at the practical application requirements of high-precision modeling of acoustic comfort in vehicles, this paper presented two improved extreme gradient boosting (XGBoost) algorithms based on grid search (GS) method and particle swarm optimization (PSO), respectively, with objective parameters and acoustic comfort as input and output variables, and established three regression models of standard XGBoost, GS-XGBoost, and PSO-XGBoost through data training. …”
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On Evaluation of Data Stream Clustering Algorithms: A Survey by Christian Nordahl, Veselka Boeva, Hakan Grahn, Marie Persson-Netz

“…However, minor additions to the evaluation methods can improve both the applicability and usefulness of the algorithms.…”
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A Novel Approach for Evaluating Web Page Performance Based on Machine Learning Algorithms and Optimization Algorithms by Mohammad Ghattas, Antonio M. Mora, Suhail Odeh

“…This study introduces a novel evaluation framework for predicting web page performance, utilizing state-of-the-art machine learning algorithms to enhance the accuracy and efficiency of web quality assessment. …”
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A Multicriteria Evaluation of Single Underwater Image Improvement Algorithms by Iracema del P. Angulo-Fernández, Javier Bello-Pineda, J. Alejandro Vásquez-Santacruz, Rogelio de J. Portillo-Vélez, Pedro J. García-Ramírez, Luis F. Marín-Urías

“…This proposal represents a solution for evaluating improvement algorithms in applications where computational efficiency is critical.…”
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Chemometric and meta-heuristic algorithms to find optimal wavelengths and predict ‘Red Delicious’ apples traits using Vis-NIR by Mahsa S. Razavi, Vali Rasouli Sharabiani, Mohammad Tahmasebi, Silvia Grassi, Mariusz Szymanek

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Landscape layout characteristics and evaluation of smart buildings based on deep learning algorithms by Li Zhang

“…Based on the landscape layout of intelligent buildings, this study proposes an evaluation framework based on a deep learning algorithm, aiming at improving the quality and efficiency of landscape design through intelligent means. …”
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Comparative Performance Evaluation of Scheduling Algorithms using 5G‑Air‑Simulator by Moaath Saleh Abdulrahman, Buthaina Mosa Omran

“…With the spread of new applications, efficient scheduling algorithms are mandatory to handle the allocation of the limited spectrum resources to various types of traffic and to guarantee the requirements of the quality of service and the quality of experience informed by users. …”
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Application of Machine Learning and Multi-Dimensional Perception in Urban Spatial Quality Evaluation: A Case Study of Shanghai Underground Pedestrian Street by Tianning Yao, Yao Xu, Liang Sun, Pan Liao, Jin Wang

“…The study proposes a comprehensive and applicable spatial quality evaluation model integrating spatial quantification methods, machine learning algorithms, and multidimensional perception measurements. …”
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