Search Results - statistical algorithm

Robust Data Reconciliation in Supercritical Carbon Dioxide Thermal Systems: From Framework Design to Performance Evaluation by Jiarui You, Yikang Liu, Yonghui Xie

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Causal Discovery for Patient Classification Using Health-Related Quality of Life Questionnaires by Maria Ganopoulou, Konstantinos Fokianos, Christos Bakirtzis, Lefteris Angelis, Theodoros Moysiadis

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Opposition-based learning techniques in metaheuristics: classification, comparison, and convergence analysis by Rihab Lakbichi, Farouq Zitouni, Saad Harous, Aridj Ferhat, Abdelhadi Limane, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

“…In recent years, opposition-based learning (OBL) has emerged as a powerful enhancement strategy in metaheuristic algorithms (MAs), gaining significant attention for its potential to accelerate convergence and improve solution quality. …”
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METHODOLOGICAL BASIS FOR ESTIMATING THE LIFE CYCLE COST OF AIRCRAFT ENGINE, TAKING INTO ACCOUNT THE ATTENDANT RISKS by E. A. Ozdoeva, O. A. Smolyakov

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Impact of Data Distribution and Bootstrap Setting on Anomaly Detection Using Isolation Forest in Process Quality Control by Hyunyul Choi, Kihyo Jung

“…This study investigates the impact of data distribution and bootstrap resampling on the anomaly detection performance of the Isolation Forest (iForest) algorithm in statistical process control. Although iForest has received attention for its multivariate and ensemble-based nature, its performance under non-normal data distributions and varying bootstrap settings remains underexplored. …”
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Speed curve analysis-based determination of additional resistance to train motion from undercarriage generators by I. O. Lobytsin, I. A. Pankov, V. V. Fedin, N. A. Baranov, K. I. Shvedin, S. O. Litvintsev

“…This method of estimating the additional resistance to train motion from undercarriage generators can be scaled to various train movement problems solved with statistical data using mathematical models. The algorithm developed by the authors would find its application in the systems of calculation, analysis and planning of fuel and energy resources consumption.…”
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Elucidating the Role of the Mixing Entropy in Equilibrated Nanoconfined Reactions by Leonid Rubinovich, Micha Polak

“…By introducing the concept of nanoreaction-based fluctuating mixing entropy, the challenge posed by the smallness of a closed molecular system is addressed through equilibrium statistical–mechanical averaging over fluctuating reaction extent. …”
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A Deep Modelling Method for Bearing Faults Incorporating Multi-domain Features by NIU Guojun, TANG Zhenhao, WANG Mengjiao

“…The frequency frequency domain features and descriptive statistical parameters in the frequency domain are extracted. …”
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Methodology for Developing an Automated Adaptive System for Measuring Fluid Volume based on Gas Meter by Fedir Matiko, Oleh Pistun

“…In order to calculate this uncertainty the dependencies of the gas meter error on the gas flow rate through the meter have been developed based on the statistical processing of the results of the metrological verification of gas meters for industrial rotary and turbine gas meters. …”
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Finite Mixture Model-Based Analysis of Yarn Quality Parameters by Esra Karakaş, Melik Koyuncu, Mülayim Öngün Ükelge

“…The research addresses the need for advanced statistical modeling techniques to better capture the inherent heterogeneity in textile production data. …”
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Feature Selection Algorithms Combined with Experimental Validation Reveal COL10A1 and TMPRSS4 Genes as Potential Diagnostic Biomarkers in Pancreatic Ductal Adenocarcinoma by Neda Shajari, Amin Ramezani, Ahmad Tahmasebi, Mohammad Hossein Anbardar, Zahra Roshanizadeh, Abbas Ghaderi

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Development of Empathy of Seventh-graders on the Basis of Musical and Stage Images by Kiryanov I.E., Lipkan N.V.

“…The data obtained in the course of the study indicate the effectiveness of the algorithm for developing empathy of seventh-graders based on musical and stage images, which is confirmed by the method of statistical testing of hypotheses using the Student's t-test.…”
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Short-Term Wind Power Prediction Model Based on PSO-CNN-LSTM by Qingquan Lv, Jialin Zhang, Jianmei Zhang, Zhenzhen Zhang, Qiang Zhou, Pengfei Gao, Haozhe Zhang

“…The predictive performance of the proposed PSO-CNN-LSTM hybrid algorithm is evaluated against benchmark models using four statistical metrics: RMSE, MAE, MSE, and R². …”
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Extraction and analysis of aerosol anomalies associated with multiple shallow earthquakes based on MODIS AOD products by Ping Lu, Xiao Gao, Zhixuan Xiong, Yu Shang

“…This work utilizes MODIS AOD retrievals and a background field–based Robust Satellite Technique (RST) algorithm to detect AOD anomalies linked to 14 global shallow-focus earthquakes using a 2σ threshold, followed by statistical significance testing (p < 0.05). …”
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Improvement of the chemotherapy and pharmaceutical service management system by monitoring drug prescription errors in oncology patients by Ye.V. Zalyhina, Ya.S. Bereznytskyi

“…During the research, an analysis of scientific publications and a retrospective analysis (examination of internal documents) were carried out, followed by generalization and comparison of data. Statistical processing of the results was carried out using the method of interval dynamic series analysis. …”
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Accuracy test of satellite imagery-derived bathymetry in shallow waters using Sentinel-2A multispectral imagery by Rizqi Rizaldi Hidayat, Amron Amron, Iqbal Ali Husni, Isnaini Prihatiningsih, Hartoyo Hartoyo, Mukti Trenggono, Muhammad Romdonul Hakim

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Streamlining ICI Transformed as a Nonnegative System by David Hyland

“…Also, the author’s paper entitled “The Rise of the Brown-Twiss Effect” summarized the search algorithm and emphasized the mathematical proofs of the algorithm. …”
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Bayesian Estimation for Zero-Truncated Bivariate Poisson Regression Model by Prapaporn Rerngchaiyaphum, Monthira Duangsaphon

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USING ARTIFICIAL INTELLIGENCE AND COMPETITIVE ADVANTAGE IN OPERATIONS MANAGEMENT: A CASE STUDY OF ISLAMIC BANKS IN AMMAN, JORDAN by Khaled Abdulwahab Alzeaideen, Ala’a Abdulkarim Hamdan, Hazem Khaled Shehadeh, Majed Abdel-Mohdi Masadeh, Hala Alsabatin, Abdalmuttaleb Al-Sartawi, Waleed Nureldeen

“… This study seeks to examine the impact of utilising artificial intelligence (AI) including genetic algorithms, expert systems, neural networks, and intelligent agents on key dimensions of competitive advantage, namely cost, quality, delivery, and flexibility, within Islamic banks operating in the Governorate of Amman. …”
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