Showing 221 - 240 results of 344 for search 'statistical data augmentation methods', query time: 0.09s Refine Results
  1. 221

    Efficacy of Combined High-Intensity Laser Therapy and Collagenase Chemonucleolysis in Lumbar Disc Herniation Management: a Prospective Randomized Controlled Trial by Peng Song, Chao Ma, Chenchen Xu, Yongjun Zhang, Yan Yuan

    Published 2025-06-01
    “…The results showed that there was no statistically significant difference in baseline data between the two groups of patients. …”
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    Article
  2. 222

    Assessment of the Impact of Community-Based Tourism on the Economic, Social, and Cultural Empowerment of Women (Case Study: Coastal Villages of Bushehr Province) by Ali Shamsoddini, Fatemeh Dehghani

    Published 2024-06-01
    “…The sample size determined using Cochran's formula was 400 individuals. To analyze the data, both descriptive and inferential statistical methods were employed within the AMOS and SPSS software environment. …”
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    Article
  3. 223

    Prediction of uterine rupture in singleton pregnancies with one prior cesarean birth undergoing TOLAC: A cross‐sectional study by Brittany J. Arkerson, Giulia M. Muraca, Nisha Thakur, Ali Javinani, Asma Khalil, Rohan D'Souza, Hiba J. Mustafa

    Published 2025-01-01
    “…Despite uterine rupture being a catastrophic event, there is currently no successful, validated prediction model to predict its occurrence. Material and Methods This was a cross‐sectional study using US national birth data between 2014 and 2021. …”
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  4. 224

    Current State of Connected Sensor Technologies Used During Rehabilitation Care: Protocol for a Scoping Review by Michelle R Rauzi, Rachael B Akay, Swapna Balakrishnan, Christi Piper, Denise Gobert, Alicia Flach

    Published 2024-10-01
    “… BackgroundConnected sensor technologies can capture raw data and analyze them using advanced statistical methods such as machine learning or artificial intelligence to generate interpretable behavioral or physiological outcomes. …”
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  5. 225

    Objective classification for solid hydrometeor particles using deep learning by Asuka Yoshimura, Kazuhisa Tsuboki, Taro Shinoda, Tadayasu Ohigashi, Kensaku Shimizu

    Published 2024-11-01
    “…The results trained using only HYVIS images showed low validity because some types of particles in the training data were insufficient. The data for typical particle shapes were augmented to improve the classification. …”
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  6. 226
  7. 227

    GOVERNMENT EXPENDITURE: A CATALYST FOR ECONOMIC GROWTH IN NIGERIA by Alexander Tunde OGUNTUASE, Temitope Esther OYENEYE, Jayeola OLABISI, Oluwapelumi Damilola OYEDELE

    Published 2024-10-01
    “…Augmented Dickey Fuller (ADF) unit root test was carried out to test for the stability of data. …”
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  8. 228

    Enhancing No Reference Laparoscopic Video Quality Assessment with Evolutionary ANFIS by Biswas Sria, Palanisamy Rohini

    Published 2024-12-01
    “…The model accurately replicates the expert and non-expert perceptual opinions, encouraging future research in stereoscopic, augmented, and virtual reality data.…”
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  9. 229

    The Use of Enhanced External Counterpulsation in the Treatment of Patients with Coronary Artery Disease by K. S. Karaganov, A. S. Lishuta, Y. N. Belenkov

    Published 2020-09-01
    “…Data from 67 patients (48 to 74 years old; 47 men and 20 women) were included in the final analysis. …”
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  10. 230

    GAN-WGCNA: Calculating gene modules to identify key intermediate regulators in cocaine addiction. by Taehyeong Kim, Kyoungmin Lee, Mookyung Cheon, Wookyung Yu

    Published 2024-01-01
    “…Generative adversarial networks (GANs) have been used to augment biological data to describe hidden intermediate time-series gene expression profiles during specific biological processes. …”
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  11. 231

    Neuronal Correlates of Task Irrelevant Distractions Enhance the Detection of Attention Deficit/Hyperactivity Disorder by Chun-Chuan Chen, Eric Hsiao-Kuang Wu, Yan-Qing Chen, Ho-Jung Tsai, Chia-Ru Chung, Shih-Ching Yeh

    Published 2023-01-01
    “…We use a clinically applicable system with EEG to record data. Statistical analysis and machine learning methods were employed to analyze the data. …”
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  12. 232

    Alpha-1 Antitrypsin Deficiency-Associated panniculitis: A survey of lived experience. by Jaiden Townsend, Reem Alluhibi, Nicky Lynch, Richard Woolf, Aileen Marshall, David A Lomas, John R Hurst

    Published 2025-01-01
    “…Despite its clinical and emotional burden, limited data exist on the lived experiences of individuals with this condition.…”
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  13. 233

    Presenting a Model of Childbearing Intention Based on Demographic Factors and Personality Traits in Couples by Ebrahim Fathi, Hassan Heidari, Hossein Davudi

    Published 2025-06-01
    “…Objective: The objective of the present study was to elucidate a model of childbearing predicated on demographic variables and personality characteristics, emphasizing the role of religiosity among married partners. Methods: This investigation is characterized as descriptive-survey in relation to its practical objectives and methodologies for data acquisition. …”
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  14. 234

    Supervised Machine Learning Insights into Social and Linguistic Influences on Cesarean Rates in Luxembourg by Prasad Adhav, María Bélen Farias

    Published 2025-04-01
    “…With both limited and augmented data, our models achieve an average accuracy of approximately 81% in predicting CS. …”
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  15. 235

    Pattems and models of flowering of some Gampanulaceae Juss. species by E. S. Fomin, T. I. Fomina

    Published 2018-11-01
    “…Inflorescences of the species are elongated and multiflorous, of the compound type inherent for Campanulaceae, and characterized by a high variability of all structural features. Observation data were processed by standard statistical methods and used to construct stochastic computer models of flowering shoots, while omissions in data were restored by using the maximum likelihood method. …”
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  16. 236

    Diagnosis and Management of Deltoid Ligament Injuries in Chronic Ankle Instability: A Systematic Review by Amanda Anderson MD, Maddison McLellan BS, Ryan Kim BS, Naudereh Noori MD

    Published 2025-03-01
    “…Studies were evaluated for workup including clinical presentation, imaging, treatment algorithm and operative techniques. Descriptive statistical analysis was conducted across the pooled data set. …”
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  17. 237

    Nonfragile State Estimator Design for Memristor-Based Fractional-Order Neural Networks with Randomly Occurring Hybrid Time Delays and Stochastic Cyber-Attacks by Qifeng Niu, Xiaoguang Shao, Yanjuan Lu, Yibo Zhao, Jie Zhang

    Published 2025-07-01
    “…In real network environments, the outputs may be compromised by cyber-attacks, which can disrupt data transmission systems. To better reflect the actual conditions of fractional-order neural networks, a Bernoulli variable is utilized to describe the statistical properties. …”
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  18. 238

    Models for Positioning Public Spaces in the Metaverse by Ezgi Özkoç, Şan Yalçın Sarabil

    Published 2024-11-01
    “…The study uses literature review and quantitative data collection methods. Statistical data related to public spaces in the Decentraland and Sandbox platforms were gathered and assessed based on various criteria. …”
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  19. 239
  20. 240

    Impacted lower third molar classification and difficulty index assessment: comparisons among dental students, general practitioners and deep learning model assistance by Paniti Achararit, Chawan Manaspon, Chavin Jongwannasiri, Promphakkon Kulthanaamondhita, Chumpot Itthichaisri, Soranun Chantarangsu, Thanaphum Osathanon, Ekarat Phattarataratip, Kraisorn Sappayatosok

    Published 2025-01-01
    “…The radiographs were randomly split into test datasets, while the remaining images were utilized for training and validation. Data augmentation techniques were applied. Another set of radiographs was used to compare the accuracy between human experts and the top-performing CNN. …”
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