Search Results - statistical algorithm

Optimization of Sensor Positions and Orientations for Multiple Load Case Scenarios by Wacław Kuś, Waldemar Mucha, Iyasu Tafese Jiregna

“…Load predictions from sensors in optimized locations are compared to predictions from measurements of randomly positioned sensors. Statistical comparison proved that the developed methods and algorithms allow us to significantly reduce the prediction errors.…”
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Machine Learning Applications for Predicting High-Cost Claims Using Insurance Data by Esmeralda Brati, Alma Braimllari, Ardit Gjeçi

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Physical Constraint Preserving Higher-order Finite Volume Schemes for Divergence-free Astrophysical MHD and RMHD by Dinshaw S. Balsara, Deepak Bhoriya, Chetan Singh, Harish Kumar, Roger Käppeli, Federico Gatti

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Performance Assessment of Solar-Transformer-Consumption System Using Neural Network Approach by Ritu Gupta, Ekata, C.M. Batra

“…MATLAB code for FFBP algorithm is built to improve the values of reliability and cost function by minimizing the error up to 0.0001 precision. …”
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Assimilation of the total electron content obtained from GNSS to a model of the ionosphere using a hierarchical Bayesian network by Tang Jun, Hu Jiacheng, Zhang Wei, Fan Cihang, Zhou Qiangbo

“…The results demonstrate that the HBN algorithm closely aligns with the BDS GEO TEC, regardless of geomagnetic conditions. …”
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Identification of Key Performance Indicators for T20—A Novel Hybrid Analytical Approach by Rucia V. November, Haiyan Cai, Mogammad Sharhidd Taliep, Clement Nyirenda, Lloyd L. Leach

“…<b>Methods:</b> Cricket performance data was analysed from three seasons of male T20 matches, identifying 136 performance indicators (PIs). The random forest algorithm and lasso logistic regression were used to develop a model to predict match outcomes. …”
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Lightweight image encryption using integer reversible discrete Dual-Hahn transform on embedded systems by Mohamed Yamni, Achraf Daoui, Chakir El-Kasri, May Almousa, Ali Abdullah S. AlQahtani, Ahmed A. Abd El-Latif

“…It is energy-efficient, capable of encrypting up to 129,025 grayscale images of size 256 × 256 pixels on a standard 3300 mAh battery. The algorithm ensures perfect decryption with no loss of image fidelity and demonstrates strong resistance to statistical attacks with near-ideal correlation values, as well as brute-force attacks with a large key space of 2199. …”
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Machine learning-based prediction of short- and long-term mortality for shared decision-making in older hip fracture patients: the Dutch Hip Fracture Audit algorithms in 74,396 cas... by Hidde Dijkstra, Cathleen S Parsons, Hanne-Eva VAN Bremen, Hanna C Willems, Anne A H De Hond, Barbara C van Munster, Job N Doornberg, Jacobien H F Oosterhoff

“…Logistic regression performed comparably to other algorithms, but was chosen as the preferred algorithm due to its superior interpretability (c-statistic: 30-day 0.82, 90-day 0.81, 1-year 0.80). …”
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Tuning Mechanism and Parameter Optimization of a Dynamic Vibration Absorber with Inerter and Negative Stiffness Under Delayed FOPID by Junlin Li, Yunxia Sun, Xueling Liu, Yufeng Zhang

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Wasserstein Distributionally Robust Optimization for Chance Constrained Facility Location Under Uncertain Demand by Iman Seyedi, Antonio Candelieri, Enza Messina, Francesco Archetti

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Primary productivity forecasting in the food-insecure eastern Sahel region using antecedent vegetation, climatic data and Random Forest by Solomon G. Tesfamichael, Tamás Hermann, Yegnanew A. Shiferaw, Gergely Tóth

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Fermat and Mersenne numbers in $k$-Pell sequence by B. Normenyo, S. Rihane, A. Togbe

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Enhanced clustering techniques for lithofacies and electrofacies identification in post-salt carbonate and siliciclastic reservoirs: a case study from the campos basin, Brazil by Abel Carrasquilla, Herson Rocha

“…The exploratory data analysis was essential to understand the statistical behavior and interrelationships among the petrophysical logs, serving as a foundational step for the effective application of the clustering algorithms. …”
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Markov Observation Models and Deepfakes by Michael A. Kouritzin

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Computer modeling of the synthesis of styrene–butadiene rubber: Influence of the feed of a chain transfer agent on the characteristics of the product by T. A. Mikhailova, S. A. Mustafina

“…The processes of synthesis of copolymers were mathematically modeled using a statistical approach (Monte Carlo method). The developed algorithm is based on calculating the probabilities of elementary reactions in the process under study. …”
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Developing an Organization’s Corporate Knowledge Through Action-based Learning Technologies by T. V. Aleksandrova, V. L. Popov

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A clinical case of recurrent pain syndrome due to hiatal hernia, occurring under the guise of acute pancreatitis by A. A. Baulin, L. A. Aver'yanova, V. A. Baulin, O. A. Baulina, D. A. Kompaneytseva

“…In the structure of urgent pathology diseases, the leading place belongs to acute pancreatitis, which is the third most common after acute appendicitis and acute cholecystitis. According to statistical data, mild forms of acute pancreatitis account for 84.7%.The aim of the work is to demonstrate a clinical case of recurrent abdominal syndrome occurring under the gastroesophageal mask of acute pancreatitis in order to identify hernia of the esophageal orifice of the diaphragm using the developed diagnostic algorithm.Object and methods. …”
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Data‐Driven Fault Diagnosis of Drilling Tools: Methods and Applications by Chandan M. N, Himadri Majumder, Sharad Mulik, Nikhil Rangaswamy, Mukesh Kumar, Sowmyashree H. Srinivasaiah

“…In conclusion, the paper demonstrates that a data‐driven, vibration‐based fault diagnosis system combined with an effective classification algorithm can serve as a practical solution for continuous monitoring of drilling tool conditions, thereby supporting enhanced operational efficiency in metal cutting industries.…”
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Smart Data and Decision Support System for Local Optimization of Electric Charging Stations by Mauro Mazzei, Cristian Michelotti

“…Key contributions include a hybrid mathematical model combining Integer Linear Programming with algorithmic strategies&#x2014;Greedy heuristics, Simple Plant Location Problem (SPLP), and Analytic Hierarchy Process (AHP). …”
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Application of stochastic methods, wavelet transformations and support vectors for the study of electroencephalogram signals by Veronika V. Tolmanova, Denis A. Andrikov

“…Stochastic methods utilize probabilistic models for modeling random processes and analyzing data statistics. Meanwhile, SVM is a machine learning algorithm that identifies the optimal hyperplane to separate classes, enhancing generalization, particularly with complex nonlinear data. …”
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