Predicting Severe Knee Arthritis Based on Two Inertial Measurement Unit Sensors as a Dynamic Coordinate System Using Classical Machine Learning by Erfan Azizi, Mohammadsadegh Darbankhalesi, Amirhossein Zare, Zahra Sadat Rezaeian, Saeed Kermani

“…Each classifier was evaluated using the 10-fold cross-validation method (K = 10). …”
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Bio-Inspired Hyperparameter Tuning of Federated Learning for Student Activity Recognition in Online Exam Environment by Ramu Shankarappa, Nandini Prasad, Ram Mohana Reddy Guddeti, Biju R. Mohan

“…The proposed PSOGA not only outperforms the proposed PSOEGA but also outperforms the benchmark algorithms considered for performance evaluation by giving an accuracy of 95.97%.…”
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Bi-Objective Optimization of Techno-Economic and Environmental Performance for Membrane-Based CO₂ Capture via Single-Stage Membrane Separation by Nobuo Hara, Satoshi Taniguchi, Takehiro Yamaki, Thuy T. H. Nguyen, Sho Kataoka

“…Bi-objective optimization was performed using an original algorithm that combines the adaptive design of experiments, machine learning, a genetic algorithm, and Bayesian optimization. …”
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KFCM-PSOTD : An Imputation Technique for Missing Values in Incomplete Data Classification by Muhaimin Ilyas, Syaiful Anam, Trisilowati Trisilowati

“…The outcomes demonstrate that the KFCM-PSOTD algorithm has a better performance; even the difference in evaluation scores obtained reaches 10% better than other imputation techniques.…”
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A Dynamical Slot Assignment Method for Wireless Sensor Networks Based on Hopfield Network by Qi Yang, Xiao Lin, Yuxiang Zhuang, Xuemin Hong

“…The key advantage of the proposed algorithm is to increase the convergence probability under different traffic loads. …”
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Chaotic Mountain Gazelle Optimizer Improved by Multiple Oppositional-Based Learning Variants for Theoretical Thermal Design Optimization of Heat Exchangers Using Nanofluids by Oguz Emrah Turgut, Mustafa Asker, Hayrullah Bilgeran Yesiloz, Hadi Genceli, Mohammad AL-Rawi

“…The efficiency of the proposed algorithm is evaluated using the challenging benchmark functions from various CEC competitions. …”
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Optimization of Arrangements of Heat-Storage Bricks in a Regenerative Combustion System by Tree Search by Tsai-Jung Chen, Ying-Ji Hong, Sheng-Chuan Chung, Chern-Shuh Wang

“…When there are several different types of heat-storage ceramic bricks (checkers) that can be arranged in a regenerative combustion system, one must find an optimal arrangement (with the highest long-term Waste Heat Recovery Ratio) of these checkers, possibly of different types, in this regenerative combustion system. …”
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Characterizing Heterogeneity within Head and Neck Lesions Using Cluster Analysis of Multi-Parametric MRI Data. by Marco Borri, Maria A Schmidt, Ceri Powell, Dow-Mu Koh, Angela M Riddell, Mike Partridge, Shreerang A Bhide, Christopher M Nutting, Kevin J Harrington, Katie L Newbold, Martin O Leach

“…<h4>Purpose</h4>To describe a methodology, based on cluster analysis, to partition multi-parametric functional imaging data into groups (or clusters) of similar functional characteristics, with the aim of characterizing functional heterogeneity within head and neck tumour volumes. To evaluate the performance of the proposed approach on a set of longitudinal MRI data, analysing the evolution of the obtained sub-sets with treatment.…”
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Strengths and limitations of period estimation methods for circadian data. by Tomasz Zielinski, Anne M Moore, Eilidh Troup, Karen J Halliday, Andrew J Millar

“…A key step in the analysis of circadian data is to make an accurate estimate of the underlying period. There are many different techniques and algorithms for determining period, all with different assumptions and with differing levels of complexity. …”
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Application of the Modified Method of ant Colonies to Search for Rational Assignment of Employees to Tasks Using Fuzzy Sets by V. A. Sudakov, Yu. P. Titov

“…Both the speed and the ability to find rational solutions for different values of constraints are evaluated.Results. …”
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Evolutionary Genetic Analysis of the Pyrazinamidase Gene in Seven Global Populations of Mycobacterium tuberculosis by Neha Kumari, Nikhat Khan, Aparup Das

“…Several statistical analyses under different algorithms were conducted and biological/evolutionary inferences were drawn. …”
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Deeper insight into speech characteristics of patients at ultra-high risk using classification and explainability models by Deok-Hee Kim-Dufor, Michel Walter, Marie-Odile Krebs, Yannis Haralambous, Philippe Lenca, Christophe Lemey, Christophe Lemey

“…A gradient-boosted decision tree algorithm was tested to evaluate its potential to correctly classify three categories of patients and find relevant linguistic markers at the level of lexical richness, semantic coherence, speech disfluency, and syntactic complexity. …”
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Solving Bilevel Multiobjective Programming Problem by Elite Quantum Behaved Particle Swarm Optimization by Tao Zhang, Tiesong Hu, Jia-wei Chen, Zhongping Wan, Xuning Guo

“…Finally, we use eight different test problems to measure and evaluate the proposed algorithm, including low dimension and high dimension BLMPPs, as well as attempt to solve the BLMPPs whose theoretical Pareto optimal front is not known. …”
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Hybrid clustering strategies for effective oversampling and undersampling in multiclass classification by Amirreza Salehi, Majid Khedmati

“…Based on the results, the proposed algorithm outperforms the competing algorithms under different scenarios. …”
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Development characteristics and intelligent identification method of natural fractures: A case study of the Upper Triassic Xujiahe Formation in the western Sichuan Depression, Sich... by LI Wei, WANG Min, XIAO Dianshi, JIN Hui, SHAO Haoming, CUI Junfeng, JIA Yidong, ZHANG Zeyuan, LI Ming

“…Fractures provide pathways and spaces for gas migration and storage, and whether fractures develop is a key factor restricting the formation of high-quality reservoirs. To evaluate the “sweet spot” enrichment area of the Xujiahe Formation gas reservoir, fracture development characteristics are identified and an effective fracture recognition method is established based on core observation, logging data, and intelligent algorithms. …”
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A novel multi-agent dynamic portfolio optimization learning system based on hierarchical deep reinforcement learning by Ruoyu Sun, Yue Xi, Angelos Stefanidis, Zhengyong Jiang, Jionglong Su

“…The performance of the proposed learning system is evaluated using a portfolio of 29 stocks from the Dow Jones index in four different experiments. …”
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A Real Time Coordinated Hydro Governor With Dual STATCOM for Low Frequency Oscillation Damping Using Hybrid Mean DE &#x0026; TVAPSO by Samarjeet Satapathy, Narayan Nahak, Renu Sharma

“…A new multi-objective mean Differential Evolution with time varying accelerated Particle Swarm Optimization algorithm (MeDETVAPSO) has been implemented to tune controller parameters. …”
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Revealing long-term dynamics and spatiotemporal drivers of anthropogenic nutrients inputs in China: The effects of dietary and socioeconomic factors by Jia Liu, Wei Gao, Fen Guo, Yuan Zhang, Yanpeng Cai

“…Great variation of NANI and NAPI evolution patten was found in different regions. Eastern and southern provinces (e.g., Henan, Shanghai) had the highest inputs, while western regions (e.g., Tibet) had the lowest, correlating with economic and population density disparities. …”
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Age- and severity-adjusted treatment of proximal humerus fractures in children and adolescents-A systematical review and meta-analysis. by Lisa Hohloch, Helge Eberbach, Ferdinand C Wagner, Peter C Strohm, Kilian Reising, Norbert P Südkamp, Jörn Zwingmann

“…Up to now, no evidence-based algorithm for conservative and operative treatment is available. …”
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AEMF: An Attention-Based Efficient and Multifeature Fast Text Detector by Wanqi Ma, Chaoyu Yang, Jie Yang, Jian Wu

“…The algorithm was evaluated using ICDAR2015, CTW1500, and MSRA-TD500 public datasets. …”
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