Combination of Feature Selection and Learning Methods for IoT Data Fusion by V. Sattari-Naeini, Zahra Parizi-Nejad

“…All the schemes consist of four stages, including preprocessingthe data set based on curve fitting, reducing the data dimension and identifying the most effective featuresets according to data correlation, training classification algorithms, and finally predicting new databased on classification algorithms. …”
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Modelling key ecological factors influencing the distribution and content of silymarin antioxidant in Silybum marianum L. by Mahboobe Hojati, Ruhollah Naderi, Mohsen Edalat, Hamid Reza Pourghasemi

“…Results showed that The RF (ROC: 0.99), BRT (ROC: 0.98), and SVM (ROC: 0.96) models were highly accurate in predicting the habitat suitability of S. marianum. The results of the RF algorithm also revealed that factors such as distance from roads, elevation, and mean annual rainfall had the most significant influence on the habitat suitability of S. marianum. …”
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Fuzzy control system of multioperational machine status by Andrey K. Tugengold, Andrey I. Izyumov, Roman N. Voloshin, Mikhail Y. Solomykin

“…Materials and Methods. A new algorithm for constructing an expert system based on the fuzzy logic methods is proposed. …”
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Methodology for Estimating the Cost of Construction Equipment Based on the Analysis of Important Characteristics Using Machine Learning Methods by Nataliya Boyko, Oleksii Lukash

“…The practical significance of this work lies in developing an algorithm for predicting the cost of heavy machinery by assessing several parameters.…”
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Identification of ferroptosis-related gene signatures in temporal lobe epilepsy with hippocampal sclerosis by Fan Gao, Jinzi Li

“…We used weighed gene co-expression network analysis (WGCNA) algorithm, single-factor logistic regression analysis, and LASSO algorithm to screen characteristic FR-DEGs. …”
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Rate-Adaptive LiDAR Point Cloud Streaming Over LEO Satellite Networks by Dominic Laniewski, Nils Aschenbruck

“…We develop a novel, real-time capable rate-adaptation algorithm leveraging Google Draco. It predicts optimal encoding parameters for each mini point cloud to maximize the point cloud quality under varying network conditions. …”
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Possibilities of magnet-resonance tomography usage while examining patients with reccurent genital prolapse by Banakhevych R.M.

“…Reducing the distance while performing Valsalva samples from cervical pubo-coccygeal line 2-3 cm was seen as second-best result of the operation – 26,7%, questionable form of recurrence was observed in 15,6% of patients. The developed algorithm makes it possible to determine the extent of the procedure and to predict possible intraoperative complications and results of operations, to avoid changes of operation plan, to minimize the risk of recurrence and the need for re-surgery. …”
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IDENTIFICATION OF NOMINAL DYNAMIC CHARACTERISTICS OF AIRCRAFT GAS TEMPERATURE SENSORS by A. F. Sabitov, I. A. Safina

“…The developed method makes it possible to predict the dynamic performance of the specific types of gas temperature sensors in the expected operating conditions.…”
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Short-Term Power Load Forecasting Using Adaptive Mode Decomposition and Improved Least Squares Support Vector Machine by Wenjie Guo, Jie Liu, Jun Ma, Zheng Lan

“…Further, an optimized genetic algorithm is deployed to optimize model parameters in ILSSVM by integrating the adaptive genetic algorithm and simulated annealing to improve load forecasting accuracy. …”
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Simulación del vaciado continuo de perfiles de aceros al carbono de baja aleación//Simulation of the continuous casting of low carbon steel profiles by Yusdel Díaz-Hernández, Alberto Fiol-Zulueta, José Arzola-Ruiz

“…The most outstanding characteristic of the model was the inclusion of complex processes of heat interchange, metal phase changes, distribution of temperatures in the mould, chemical composition of the metal, flow of water in the primary and<br />secondary cooling system and the casting speed. Moreover, the algorithm permitted to predict the behaviour of the process variables in the continuous casting of steel according to its profile and type.…”
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Evaluation of liver fibrosis in patients with metabolic dysfunction-associated steatotic liver disease using ultrasound controlled attenuation parameter combined with clinical feat... by LIU Chunyu, TANG Jingkuan, ZHAO Wei

“…Features were selected using the Boruta algorithm, and a predictive model combining CAP and clinical features was constructed. …”
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Predictors of community-based health insurance enrollment among reproductive-age women in Ethiopia based on the EDHS 2019 dataset: a study using SHAP analysis technique, 2024 by Sisay Yitayih Kassie, Solomon Abuhay Abebe, Mekdes Wondirad, Samrawit Fantaw Muket, Ayantu Melke, Alex Ayenew Chereka, Adamu Ambachew Shibabaw, Abiy Tasew Dubale, Yitayish Damtie, Habtamu Setegn Ngusie, Agmasie Damtew Walle

“…Eight machine learning algorithm classifiers were applied to a total weighted sample of 9,013 reproductive-age women and evaluated using performance metrics to predict community-based health insurance enrollment with Python 3.12.2 software, utilizing the Anaconda extension. …”
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Computational analysis of reproducibility and image quality of 2011 and 2017 models of Heidelberg Spectralis SD-OCT machines by Kyoung A Viola Lee, Corey Tesdahl, Keith Zimmerman, Kimberly Jun, Sabrina Khalil, Alexander Shahin, Abdullah Abou-Samra, Ramesh Ayyala, Radouil Tzekov

“…Methods and testing: TRT measurements were performed using the Posterior Pole Algorithm (PPA) and Early Treatment Diabetic Retinopathy Study (ETDRS) grid protocols. …”
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Design approach of an aquaculture cage system for deployment in the constructed channel flow environments of a power plant. by Taeho Kim, Jihoon Lee, David W Fredriksson, Judson DeCew, Andrew Drach, Solomon C Yim

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Reconstructed dose and geometric coverage for tight margins using intrafraction re-planning on an integrated magnetic resonance imaging and linear accelerator system for prostate c... by Ingeborg van den Berg, Cornel Zachiu, Eline N. de Groot-van Breugel, Thomas Willigenburg, Gijsbert H. Bol, Jan J.W. Lagendijk, Bas W. Raaymakers, Harm H.E. van Melick, Cornelis A.T. van den Berg, Jochem R.N. van der Voort van Zyp, Johannes C.J. de Boer

“…Background and purpose: A sub-fractionation workflow enables a substantial reduction in planning target volume (PTV) margin in prostate cancer (PCa) patients by reducing systematic motion during magnetic resonance (MR)-guided radiotherapy. …”
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Vitellogenin-like A-associated shifts in social cue responsiveness regulate behavioral task specialization in an ant. by Philip Kohlmeier, Barbara Feldmeyer, Susanne Foitzik

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Global trends and interdisciplinary insights in Tai Chi research: a bibliometric analysis (2004–2024) by Bei Li, Xiwei Zhu, Xiwei Zhu, Xiwei Zhu, Haoli Zhang, Su Zhang, Yanwei Li, Shuxi Wu, Shuxi Wu, Shuxi Wu, Jie Han, Jie Han, Jie Han

“…Key findings include a 40% reduction in fall risk (RR = 0.60, 95% CI: 0.52–0.69) and a 33% improvement in sleep quality (p &lt; 0.001) among elderly practitioners. …”
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Temporal trends in the incidence of adverse effects of medical treatment in BRICS countries from 1990 to 2021: an age-period cohort analysis by Xingmin Wei, Xingmin Wei, Lu Jiang, Zhidong Zhang, Longjian Shang, Kun Liu, Xiaoang Qin, Gaoheng Ding, Lu Liu, Jianjun Wu

“…Additionally, net drift, localized drift, age-specific curves, and period/cohort relative risk were estimated through an age-period-cohort (APC) model implementing the intrinsic estimator (IE) algorithm.ResultsBetween 1990 and 2021, the incidence of AEMT decreased in both South Africa and China. …”
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Land Cover Transformations in Mining-Influenced Areas Using PlanetScope Imagery, Spectral Indices, and Machine Learning: A Case Study in the Hinterlands de Pernambuco, Brazil by Admilson da Penha Pacheco, João Alexandre Silva do Nascimento, Antonio Miguel Ruiz-Armenteros, Ubiratan Joaquim da Silva Junior, Juarez Antonio da Silva Junior, Leidjane Maria Maciel de Oliveira, Sylvana Melo dos Santos, Fernando Dacal Reis Filho, Carlos Alberto Pessoa Mello Galdino

“…The methodology consisted of monitoring and evaluating environmental impacts using the k-Nearest Neighbors (kNN) algorithm, spectral indices (Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI)), and hydrological data, covering the period from 2018 to 2023. …”
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Impact of the China's new energy market on carbon price fluctuation risk: Evidence from seven pilot carbon markets by Ruo-Yang Pu, Qiao-Mei Liang, Yi-Ming Wei, Song-Yang Yan, Xiang-Yu Wang, De-Hua Li, Chen Yi, Chang-Jing Ji

“…Moreover, to address subjectivity in variable selection and overfitting issues in carbon price determinants, the LASSO algorithm is integrated with the multivariate GARCH model. …”
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