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Showing 241 - 260 results of 344 for search 'statistical data augmentation method', query time: 0.12s Refine Results
  1. 241

    Cone beam computed tomography analysis of maxillary vestibular bone thickness in the esthetic region by Đurđević Milica, Bubalo Marija, Luković Ana, Igić Ana, Acović Aleksandar, Kanjevac Tatjana

    Published 2023-01-01
    “…That increases the use of auxiliary methods of bone augmentation during immediate implant placement.…”
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  2. 242
  3. 243

    Competitive Potential of Stable Biomass in Poland Compared to the European Union in the Aspect of Sustainability by Rafał Wyszomierski, Piotr Bórawski, Lisa Holden, Aneta Bełdycka-Bórawska, Tomasz Rokicki, Andrzej Parzonko

    Published 2025-01-01
    “…The period of analysis covered 2000–2022. Secondary data from Statistical Poland and Eurostat were used. …”
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  4. 244

    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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  5. 245

    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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    Article
  6. 246

    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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  7. 247

    Relationship Between Blurred Boundary and Neurological Deficits in Extension-Type Pediatric Supracondylar Humeral Fractures by Takuji Yamamoto, MD, Yoshifumi Ueshin, MD, Hikaru Ogawa, MD, Yasuharu Nakashima, MD, PhD

    Published 2025-09-01
    “…Data collected included age, sex, height, weight, body mass index, fracture type (Wilkins-modified Gartland classification), surgical method, neurological injury status, and recovery period. …”
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  8. 248

    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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  9. 249

    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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  10. 250

    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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  11. 251

    Exploring the Impact of Homophily Attitude, Physical, and Social Attractiveness on Purchase Intentions by Honya Ghasemi, Ramin Bashir Khodaparasti, Hooshmand Bagheri Garbollagh

    Published 2024-03-01
    “…MethodologyThis study employs a descriptive-correlational research design. The statistical population includes approximately 13,000 students at Urmia University who are users of smart mobile phones and augmented reality applications. …”
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  12. 252

    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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  13. 253
  14. 254

    Accounting for contact network uncertainty in epidemic inferences with Approximate Bayesian Computation by Maxwell H. Wang, Jukka-Pekka Onnela

    Published 2025-04-01
    “…In this paper, we propose the use of Network-augmented Mixture Density Network-compressed ABC (NA-MDN-ABC) to learn informative summary statistics for the available data. …”
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  15. 255

    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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  16. 256
  17. 257

    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. 258

    Transcription Analysis of the Myometrium of Labouring and Non-Labouring Women. by Gemma C Sharp, James L Hutchinson, Nanette Hibbert, Tom C Freeman, Philippa T K Saunders, Jane E Norman

    Published 2016-01-01
    “…In this work, gene expression in 48 (22 labouring, 26 non-labouring) lower-segment myometrial samples collected at Caesarean section were analysed using Illumina HT-12 v4.0 BeadChips. Normalised data were compared between labouring and non-labouring groups using traditional statistical methods and a novel network graph approach. …”
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  19. 259

    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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  20. 260

    Perioperative handover using ISBAR at two sites: A quality improvement project by Patricia Kitney, David Bramley, Raymond Tam, Koen Simons

    Published 2018-12-01
    “…Additionally, this study collected baseline data for all other handover points of care. Implications for practice: Results suggest an augmented education program over time produced statistically significant (p < 0.001) results for compliance with ISBAR principles for handover from anaesthetist to PACU nurse. …”
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