Life cycle management of capital construction object with minimization of atmospheric air pollution by V. N. Azarov, O. V. Burlachenko, A. O. Burlachenko, M. D. Azarova

“…Since the occurrence of various events (situations) during the LC CCO is random, the determination of the probability of occurrence of these or those events is of great importance. …”
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Effective Dose Estimation in Computed Tomography by Machine Learning by Matteo Ferrante, Paolo De Marco, Osvaldo Rampado, Laura Gianusso, Daniela Origgi

“…However, all three machine learning algorithms outperformed effective dose estimation using k-factors (MAE: 2.06; MAPE: 26%) or multiple linear regression (MAE: 0.98; MAPE: 44.4%). The random forest regressor on the external dataset showed an MAE of 0.215 mSv and an MAPE of 7.1%. …”
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Effect of Composition and Processing Conditions on Selected Properties of Potato-Based Pellets and Microwave-Expanded Snacks Supplemented with Fresh Beetroot Pulp by Katarzyna Lisiecka, Agnieszka Wójtowicz, Agnieszka Sujak

“…The highest fraction of β-structures and the smallest content of random coil were observed when 80 rpm was applied during processing. …”
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Harnessing artificial intelligence in sepsis care: advances in early detection, personalized treatment, and real-time monitoring by Fang Li, Shengguo Wang, Zhi Gao, Maofeng Qing, Shan Pan, Yingying Liu, Chengchen Hu

“…AI, particularly through machine learning (ML) techniques such as random forest models and deep learning algorithms, has shown promise in analyzing electronic health record (EHR) data to identify patterns that enable early sepsis detection. …”
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Prior Information Shapes Perceptual Confidence by Luca Tarasi, Margherita Covelli, Chiara Tabarelli de Fatis, Vincenzo Romei

“…In this study, we manipulate prior knowledge by inducing varying levels of target probability expectation (low: 33%, random: 50%, high: 67%) in a perceptual detection task. …”
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PHYSICS-DRIVEN FEATURE CREATION TO IMPROVE MACHINE LEARNING MODELS PERFORMANCE FOR OIL PRODUCTION RATE PREDICTION by Eghbal Motaei, Seyed Mehdi Tabatabai, Tarek Ganat, Ahmad Khanifar, Sulaiman Dzaiy, Timur Chis

“…Several machine learning techniques, such as SVM, k-NN, Decision Tree, Random Forest, and linear regression, were constructed using PCA feature selection. …”
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Ensemble-based customer churn prediction in banking: a voting classifier approach for improved client retention using demographic and behavioral data by Ruchika Bhuria, Sheifali Gupta, Upinder Kaur, Salil Bharany, Ateeq Ur Rehman, Seada Hussen, Ghanshyam G. Tejani, Pradeep Jangir

“…Five models—K-Nearest Neighbors, Support Vector Classifier, Random Forest, Decision Tree, and XGBoost—a Voting Classifier ensemble—are used to estimate project churn. …”
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Seasonal Land Use and Land Cover Mapping in South American Agricultural Watersheds Using Multisource Remote Sensing: The Case of Cuenca Laguna Merín, Uruguay by Giancarlo Alciaturi, Shimon Wdowinski, María del Pilar García-Rodríguez, Virginia Fernández

“…This study aims to use these technologies for mapping summer and winter Land Use/Land Cover features in Cuenca de la Laguna Merín, Uruguay, while comparing the performance of Random Forests, Support Vector Machines, and Gradient-Boosting Tree classifiers. …”
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HUBUNGAN ECOLITERACY DENGAN PERILAKU PRO-LINGKUNGAN PESERTA DIDIK SMP by Novita Nurfajriani, Eka Putri Azrai, Diana Vivanti Sigit

“…Sampel yang digunakan sebanyak 168 peserta didik yang dipilih dengan teknik simple random sampling. Hasil uji prasyarat diketahui bahwa data berdistribusi normal dan homogen. …”
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How many trees to see the forest? Assessing the effects of morphospace coverage and sample size in performance surface analysis by Stephanie M. Smith, C. Tristan Stayton, Kenneth D. Angielczyk

“…To do this, we subsampled a pre‐existing set of turtle shell performance surfaces in four different ways: first, uniform subsampling of theoretical morphologies across the surface; second, random subsampling of theoretical morphologies across the surface; third, a combination uniform/random subsampling method called close‐pairs sampling and fourth, subsampling only points on the surface known to correspond to a naturally occurring turtle shell morphology. …”
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The impact of technologies on the development of repetitive speed in handball, basketball and volleyball by Dana Badau, Adela Badau, Virgil Ene-Voiculescu, Carmen Ene-Voiculescu, Dragos Florin Teodor, Constantin Sufaru, Corina Claudia Dinciu, Victor Dulceata, Dan Cristian Manescu, Catalin Octavian Manescu

“…Study tests: the Tapping the plates test-unilateral execution with the dominant hand (TP_dominant hand), the random reactive plate touching test_unilateral execution with the dominant hand (TPR_dominant hand), Touching the plates test- bilateral execution (TP_bilateral), Test Touching the plates bilateral execution-random reactive (TPR_bilateral). …”
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Enhancing smart home environments: a novel pattern recognition approach to ambient acoustic event detection and localization by Ahsan Shabbir, Abdul Haleem Butt, Taha Khan, Lorenzo Chiari, Ahmad Almadhor, Vincent Karovic

“…State-of-the-art features were extracted from the time domain, frequency domain, time frequency domain, and cepstral domain to develop efficient detection and localization frameworks. Random forest and linear discriminant analysis classifiers were employed for event detection, while the estimation signal parameters through rational-in-variance techniques (ESPRIT) algorithm was used for sound source localization.ResultsThe study achieved high detection accuracy, with random forest and linear discriminant analysis classifiers attaining 95% and 87%, respectively, for event detection. …”
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Male involvement in prevention of mother-to-child transmission of HIV, and its association with knowledge and residence in Ethiopia: a systematic review and meta-analysis by Mastewal Arefaynie, Yitayish Damtie, Bereket Kefale, Melaku Yalew, Bezawit Adane, Habtamu Shiferaw, Yesuf Ahemed, Abel Shiferaw, Tenaw Yimer, Hasab Tibebu

“…To minimize random variations among primary studies, sub-group analysis and meta-regression ana­lysis were performed. …”
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Low Complexity Unquantized Forward Stack Decoding Algorithm for Spinal Codes in Measurement While Drilling Communication by Xiaoyang Yu, Lei Liang, Ke Jiang, Tianwei Chen

“…The complex environments of Measurement-While-Drilling (MWD), characterized by intense vibrations and high temperatures, can lead to random attenuation of optical intensity, phase mismatch, and signal distortion, thereby reducing the signal-to-noise ratio (SNR) of optical signals. …”
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Vegetation Classification in a Mountain–Plain Transition Zone in the Sichuan Basin, China by Wenqian Bai, Zhengwei He, Yan Tan, Guy M. Robinson, Tingyu Zhang, Xueman Wang, Li He, Linlong Li, Shuang Wu

“…By combining feature sets and applying feature elimination algorithms, the classification performance of one-dimensional convolutional neural networks (1D-CNNs), Random Forest (RF), and Multilayer Perceptron (MLP) was evaluated to determine the optimal feature combinations and methods. …”
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Climate change impact assessment on groundwater level changes: A study of hybrid model techniques by Stephen Afrifa, Tao Zhang, Xin Zhao, Peter Appiahene, Mensah Samuel Yaw

“…A hybrid model (HM) of Bayesian random forest (BRF), Bayesian support vector machine (BSVM), and Bayesian artificial neural network (BANN) is built in this study. …”
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Hubungan Tingkat Pengetahuan dan Sikap terhadap Pelaksanaan SADARI pada Ibu Rumah Tangga di Kelurahan Jati by Desti Wahyuni, Edison ., Wirsma Arif Harahap

“…Cara pengambilan sampel adalah dengan multistage random sampling. Data mengenai tingkat pengetahuan, sikap, data pelaksanaan SADARI didapatkan melalui wawancara dengan menggunakan kuesioner yang selanjutnya dianalisis. …”
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Development of stepwise particle dosing algorithm in magnetic solution deposition to clarify maximum area fraction points by Yuki NAGASAKO, Ryo HAYASAKA, Takahiro OOMURA

“…Therefore, increasing the random force improved the number of conditions in which the maximum surface integral rate points were greater than 0.243. …”
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Estimation for Reduction Potential Evaluation of CO₂ Emissions from Individual Private Passenger Cars Using Telematics by Masahiro Mae, Ziyang Wang, Shoma Nishimura, Ryuji Matsuhashi

“…Machine learning based on random forest regression enables better estimation performance of CO₂ emissions compared to conventional multiple linear regression. …”
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Hubungan Tingkat Pengetahuan dan Sikap dengan Penggunaan Antibiotik Tanpa Resep Dokter by Hasnal Laily Yarza, Yanwirasti ., Lili Irawati

“…Tujuan penelitian ini adalah untuk mengetahui hubungan tingkat pengetahuan dan sikap masyarakat dengan penggunaan antibiotik tanpa resep dokter di Kampung Seberang Pebayan RW IV Kelurahan Batang Arau Padang Selatan.Penelitian ini dilakukan dengan metode penelitian cross sectional study analytic dengan subjek 152 orang yang diambil secara simple random sampling. Analisis data yang digunakan yaitu analisis univariat dan bivariat dengan menggunakan chi square. …”
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