Search Results - statistical algorithm

The Impact of Acute Hydration on Body Composition Assessment Using the Bioelectrical Impedance Method in Female Pilates Novices by Lejla Dizdarević, Saša Vuk

“…These changes can be explained by the redistribution of fluid in the body and the algorithms that BIA devices use to assess body composition. …”
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Robust Fractional Low Order Adaptive Linear Chirplet Transform and Its Application to Fault Analysis by Junbo Long, Changshou Deng, Haibin Wang, Youxue Zhou

“…The calculation steps and processes of the algorithms are summarized and deduced in detail. The experimental simulation results show that the improved FLOACT and FLOASCT methods have good effects on multi-component signals with short frequency intervals in the time-frequency domain and even cross-frequency trajectories in the strong impulse background noise environment. …”
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Measurement Approaches and Implementation of a Fading Characterization Tester for Evaluating Optical Turbulent Channels by Yatian Li, Tianwen Geng, Xueliang Li, Ye Wang, Shijie Gao

“…Thus we propose the algorithms for measuring the outage and synchronization performance, bit error rate (BER), throughput, and fading statistics. …”
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Digital Transition as a Driver for Sustainable Tailor-Made Farm Management: An Up-to-Date Overview on Precision Livestock Farming by Caterina Losacco, Gianluca Pugliese, Lucrezia Forte, Vincenzo Tufarelli, Aristide Maggiolino, Pasquale De Palo

“…The increasing integration of sensing devices with smart technologies, deep learning algorithms, and robotics is profoundly transforming the agricultural sector in the context of Farming 4.0. …”
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Tumour nuclear size heterogeneity as a biomarker for post-radiotherapy outcomes in gynecological malignancies by Yujing Zou, Harry Glickman, Manuela Pelmus, Farhad Maleki, Boris Bahoric, Magali Lecavalier-Barsoum, Shirin A. Enger

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Trend equation prediction in medical and pharmaceutical studies (the example of respiratory diseases development in children in the region) by O. V. Zhukova, S. V. Kononova, T. M. Konyshkina

“…The study used the official statistics of the respiratory diseases prevalence in children of 0-14 age group in 2001-2015. …”
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Detectability of Liver Steatosis and Fibrosis with Transient Elastography and Controlled Attenuation Parameter in Residents of St. Petersburg by V. P. Kovyazina, K. L. Raikhelson, M. K. Prashnova, E. V. Pazenko, L. K. Palgova, E. A. Kondrashina

“…Serum transaminase activity increased with more severe liver changes, being statistically significant for aspartic transaminase only.Conclusion. …”
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Comparison of Machine Learning Methods (Linear Regression, Random Forest, and XGBoost) for Predicting Poverty in Central Java in 2024 by Zahwa Bunga Putri Pratama, Yani Parti Astuti

“…This study compares three regression algorithms—Linear Regression, Random Forest, and XGBoost—to evaluate their effectiveness in modeling the complexity of socio-economic data. …”
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Sentiment Analysis of User Reviews of the AdaKami Online Loan App from the App Store Using SVM and Naive Bayes by Wava Lativa Azzahra, Jamaludin Indra, Rahmat Rahmat, Sutan Faisal

“…The classification model was built using two machine learning algorithms, namely Support Vector Machine (SVM) and Naïve Bayes (NB). …”
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Advanced classification of drill core rock type and weathering grade using detection transformer-based artificial intelligence techniques by Keith Ki Chun Tse, Louis Ngai Yuen Wong, Sai Hung Cheung, Lequan Yu

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Posttraumatic epilepsy: clinical, diagnostic and therapeutic features by N. E. Maslov, A. A. Litvinova, P. S. Kovalev, N. N. Maslova, N. V. Yuryeva, E. I. Khamtsova

“…According to 2019 statistics records, traumatic brain injuries (TBI) are the most common type of injuries and one of the main causes for disability in Russia. …”
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Robust multisynchrosqueezing transform time frequency technologies with application to fault diagnosis by Haibin Wang, Junbo Long, Changshou Deng, Youxue Zhou

“…Time-frequency analysis (TFA) methods serve as effective tools for analyzing stationary signals.Multisynchrosqueezing Transform (MSST) represents a novel post-processing TFA technology designed for pulse-like signals or noisy environments, aiming to enhance the concentration of time–frequency energy.However, in environments characterized by strong impulsive α stable distribution noise, the time–frequency concentration of existing MSST algorithms, a critical performance metric, is significantly compromised, leading to substantial local deviations. …”
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Method Used to Study Passenger Traffic Flows at the Network-Wide and Regional Levels of the Railway Traffic Management Complex by E. A. Makarova, K. V. Surzhin, A. V. Sokolovskiy, S. B. Elizarov, A. G. Piunov

“…The classification procedure employs algorithms of analytic passenger traffic flow investigations based on the up-to-date techniques of mathematical statistics and marketing analysis, as well as criteria and order of the JSC RZD network routes classification suppotring their prioritization in the context of infrastructure development. …”
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The Advanced Actuarial Data Science Based AI-Driven Solutions for Automated Loss Reserving Under IFRS 17 in Non-Life Insurance by Brighton Mahohoho, Charles Chimedza, Florance Matarise, Sheunesu Munyira

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Impacts of noise and interference on the bit error rate of the FBMC-OQAM modulation scheme in 5G systems by A. Androon, O. V. Tikhonova

“…In the work, probability theory and mathematical statistics methods are applied according to computer modeling approaches.Results. …”
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Structured Summarization of League of Legends Match Data Optimized for Large Language Model Input by Jooyoung Kim, Wonkyung Lee, Jungwoon Park

“…By systematically summarizing structured match information—including match overviews, player and team statistics, timeline summaries, and algorithmically selected key events—the LoL-MDC significantly reduces the data size from approximately 80,000 tokens to under 2000 tokens while retaining analytical value. …”
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Scientific Laboratory “Moscow Polyclinic”: Experience of Project Implementation by K. Yu. Tarkhov

“…The author collected, aggregated, statistically processed, and analyzed the comparative data for two project seasons.Results and discussion. …”
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Integrating Machine Learning for Early Mortality Prediction in Lung Adenosquamous Carcinoma: A Web-Based Prognostic Model by Min Liang MD, PhD, Xiaocai Li MD, Shangyu Xie MD, Xiaoying Huang MD, Shifan Tan MD

“…We developed predictive models using XGBoost, logistic regression, and AJCC staging algorithms, assessing their performance via metrics such as the Area Under the Receiver Operating Characteristic Curve (AUC), Decision Curve Analysis (DCA), Kolmogorov-Smirnov (KS) statistic, and calibration plots. …”
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A Hybrid Analytical Framework for Cracking and Some Fruit Quality Features in Sweet Cherries by Erol Aydın, Mehmet Ali Cengiz, Leyla Demirsoy, Hüsnü Demirsoy

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Treatment Tactics and Complications After Surgical Treatment of HIV-Infected Patients With Extra-Articular Fractures of the Long Bones of Extremities by N. G. Doronin, S. N. Khoroshkov, M. V. Naumenko

“…Thus, the use of standard algorithms for determining the tactics and method of treatment of extra-articular fractures of the long bones of the extremities in HIV-infected patients leads to a significant number of unsatisfactory treatment results (up to 31.1%). …”
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