Underwater Acoustic Communication Using Multi-Layer Vector Approximate Message Passing Evaluated on the Watermark Benchmark by Julian Winkler, Sabah Badri-Hoeher

“…The multi-layer vector approximate message passing algorithm is applied to the problem of channel estimation in underwater acoustic communication addressing the estimation of time-varying channel characteristics. …”
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Comparative Evaluation of Fractional-Order Models for Lithium-Ion Batteries Response to Novel Drive Cycle Dataset by Xinyuan Wei, Longxing Wu, Chunhui Liu, Zhiyuan Si, Xing Shu, Heng Li

“…However, the quantitative evaluations and adaptability of these models under different driving cycle datasets are still lacking and challenging. …”
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A new adaptive grey prediction model and its application by Jianming Jiang, Ming Zhang, Zhongyong Huang

“…The experimental results demonstrate that the proposed model outperforms the competing algorithms in all evaluation metrics, confirming its effectiveness.…”
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RAD-Seq-derived SSR markers: a new paradigm for genetic analysis and construction of genetically improved production populations in Pinus koraiensis by Pingyu Yan, Wanying Zhang, Junfei Hao, Xiaotian Miao, Jun Wu, Zixiong Xie, Zhixin Li, Lei Zhang, Hanguo Zhang

“…No statistically significant genetic differentiation was observed among the subgroups within the population, and the level of genetic diversity was comparable among subgroups delineated by different criteria. …”
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A CNN-Based Indoor Positioning Algorithm for Dark Environments: Integrating Local Binary Patterns and Fast Fourier Transform with the MC4L-IMU Device by Nan Yin, Yuxiang Sun, Jae-Soo Kim

“…In addition, all models show strong stability, and the prediction standard index (PSI) values are always below 0.02. To evaluate model robustness and MC4L-IMU work reliably under different conditions, the experiments were conducted in a controlled indoor environment with different obstacle materials and lighting conditions.…”
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Combining K-Means Clustering and Random Forest to Evaluate the Gas Content of Coalbed Bed Methane Reservoirs by Jie Yu, Linqi Zhu, Ruibao Qin, Zhansong Zhang, Li Li, Tao Huang

“…The results of this study show that the random forest method based on clustering can effectively distinguish the relationship between different logging responses and gas content. On this basis, the random forest algorithm modeling can effectively characterize the complex relationship between gas content and logging curve response. …”
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Evaluating visitor perception and spatial preferences of various museums based on machine learning from 2016 to 2024. by Yuandi Jiang, Kalyna Pashkevych, Shibo Bi

“…TF-IDF and LDA algorithms identified key image perception themes. Visitor satisfaction was then evaluated with SnowNLP sentiment analysis to examine the dynamic correlation between the perception themes and satisfaction. …”
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A new method of assessing microcirculation of the central retina in patients with different stages of diabetic macular edema in type 2 diabetes by S.A. Suk, S.Yu. Mogilevskyy, M.I. Kovtun, B.B. Zhupan

“…The ratio of the obtained indicators of the FAZ/CD of the superficial and deep capillary plexuses was evaluated, which corresponded to the deve­loped coefficient of microcirculation in the superficial and deep ca­pillary plexuses of the central retina at different stages of DME. …”
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Comprehensive MILP Formulation and Solution for Simultaneous Scheduling of Machines and AGVs in a Partitioned Flexible Manufacturing System by Cheng Zhuang, Jingbo Qu, Tianyu Wang, Liyong Lin, Youyi Bi, Mian Li

“…Results demonstrate that the proposed MILP formulation efficiently generates globally optimal solutions and consistently outperforms a greedy algorithm enhanced by A*-inspired heuristics. Although computationally intensive for large scenarios, the MILP’s optimal results serve as an exact benchmark for evaluating faster heuristic methods. …”
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Prediction of the Immune Phenotypes of Bladder Cancer Patients for Precision Oncology by Hyuna Cho, Feng Tong, Sungyong You, Sungyoung Jung, Won Hwa Kim, Jayoung Kim

“…Upon further validation in independent cohorts, this gene signature could be developed into a predictive test that can support clinical evaluation and patient care.…”
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Evaluating the utility of public-facing jail registers to inform public health practice, Washington state 2023 by Steven Erly, Richard J. Lechtenberg, Vasiliki Georgoulas-Sherry, Anna Berzkalns, Allison Moore, Julia C. Dombrowski, Jennifer E. Balkus

“…We applied a simple match algorithm to copies of these datasets that had been reduced to match the different combinations of identifier variables available in the public data (full names and ages, partial names, etc.) …”
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Paediatric pharmacovigilance: use of pharmacovigilance data mining algorithms for signal detection in a safety dataset of a paediatric clinical study conducted in seven African cou... by Dan K Kajungu, Annette Erhart, Ambrose Otau Talisuna, Quique Bassat, Corine Karema, Carolyn Nabasumba, Michael Nambozi, Halidou Tinto, Peter Kremsner, Martin Meremikwu, Umberto D'Alessandro, Niko Speybroeck

“…In this study we examine the use of data mining algorithms to identify signals from adverse events reported in a phase IIIb/IV clinical trial evaluating the efficacy and safety of several Artemisinin-based combination therapies (ACTs) for treatment of uncomplicated malaria in African children.…”
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The Role of Landscape Metrics and Spatial Processes in Performance Evaluation of GEOMOD (Case Study: Neka River Basin) by Shrif Joorabian Shooshtari, Kamran Shayesteh, Mehdi Gholamalifard, Mahmood Azari, Juan Ignacio López-Moreno

“…Analysis of spatial processes was also calculated to evaluate the model performance using decision tree algorithm in Land Change Modeler (Bogaert et al., 2004). 3-Results and Discussion Forest showed a decrease of 3000 ha (4.1 % of forest area, and 1.6 % study area) from 1984 to 2001. …”
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Quantitative relationship model between soil profile salinity and soil depth in cotton fields based on data assimilation algorithm: forecasting cotton field yields and profits by Yang Gao, Yang Gao, Lin Chang, Lin Chang, Mei Zeng, Mei Zeng, Quanze Hu, Quanze Hu, Jiaojiao Hui, Jiaojiao Hui, Qingsong Jiang, Qingsong Jiang

“…The multivariate linear regression model was used to study the relationship between soil salinity and soil depth in different periods, and the Kalman filter algorithm was used to improve the model accuracy. …”
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Lymphocyte Inhibition Mechanisms and Immune Checkpoints in COVID-19: Insights into Prognostic Markers and Disease Severity by Martina Schniederova, Anna Bobcakova, Marian Grendar, Adam Markocsy, Andrej Ceres, Michal Cibulka, Dusan Dobrota, Milos Jesenak

“…<i>Materials and Methods:</i> In this retrospective observational study, we analysed the expression of PD-1 and TIM-3 on CD4⁺ and CD8⁺ T cells upon admission and after 7 days of hospitalisation in 770 adult patients. We also evaluated sPD-1 levels in the plasma of 145 patients at different stages of COVID-19 and of 11 control subjects. …”
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Estimating the Aboveground Biomass of an Evergreen Broadleaf Forest in Xuan Lien Nature Reserve, Thanh Hoa, Vietnam, Using SPOT-6 Data and the Random Forest Algorithm by The Dung Nguyen, Martin Kappas

“…To determine the optimal predictor variables for AGB estimation, 10 different RF models were built. To evaluate these models, 10-fold cross-validation was applied. …”
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The impact of rainfall and slope on hillslope runoff and erosion depending on machine learning by Naichang Zhang, Zhaohui Xia, Peng Li, Qitao Chen, Ganggang Ke, Fan Yue, Fan Yue, Yaotao Xu, Tian Wang

“…While existing studies have revealed the effects of rainfall intensity and slope on soil erosion, a comprehensive analysis of the interactions between different rainfall types and slope is still lacking. …”
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The evaluation model of engineering practice teaching with complex network analytic hierarchy process based on deep learning by Xianlong Han, Xiaohui Chen

“…Feature fusion and weight analysis comprehensively consider multiple key features to quantify students’ comprehensive performance under different parameter characteristics. Model performance evaluation and prediction analysis compare the prediction results of the model with the actual performance to evaluate the accuracy and stability of the model. …”
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Usage of the optimal fuzzy system models on chloride diffusion of concrete by Shuai Sun

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Characteristic genes and immune infiltration analysis of gastric cancer based on bioinformatics analysis and machine learning by Chengwei Xia, Yini Liu, Xin Qing

“…Next, after applying the three algorithms (LASSO, RandomForest, and SVM-RFE) to analyze these overlapping genes and take the intersection, we established a GC diagnosis. …”
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