Showing 321 - 340 results of 946 for search 'VI data analysis', query time: 0.13s Refine Results
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    Large Pretrained Foundation Model for Key Performance Indicator Multivariate Time Series Anomaly Detection by Xu Wang, Qisheng Xu, Kele Xu, Ting Yu, Bo Ding, Dawei Feng, Yong Dou

    Published 2025-01-01
    “…Yet, the development of effective deep learning models is hindered by several challenges: scarce and complex labeled data, noise interference from data handling, the necessity to capture temporal dependencies in time series KPI data, and the complexity of multivariate data analysis. …”
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    Secondary school randomized controlled interventions with a minimum dual approach to health and the links to BMI in pupils: A systematic review and meta-analysis within the project... by Derrick R. Tanous, Gerhard Ruedl, Mohamad Motevalli, Katharina C. Wirnitzer

    Published 2024-09-01
    “…The study sample was refined using exclusion criteria: (i) no outcome on body weight, body mass index (BMI), or self-reported, (ii) intervention groups only targeting overweight and/or obese pupils, (iii) interventions outside of regular school hours or implemented beyond the school setting, (iv) total intervention duration less than eight weeks, (v) branches of schools specializing on physical exercise/sports in general, and (vi) no control group. Title/abstract and full-text screening, data appraisal, and summary data extraction were completed by two reviewers. …”
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    Clinical features of post-COVID period. Results of an International Register "Dynamics Analysis of Comorbidities in SARS-CoV-2 Survivors (ACTIV SARS-CoV-2)" (12-month follow-up) by G. P. Arutyunov, E. I Tarlovskaya, A. G. Arutyunov, Yu. N. Belenkov, A. O. Konradi, Yu. M. Lopatin, A. P. Rebrov, S. N. Tereshchenko, A. I. Chesnikova, H. G. Hayrapetyan, A. P. Babin, I. G. Bakulin, N. V. Bakulina, L. A. Balykova, A. S. Blagonravova, M. V. Boldina, M. I. Butomo, A. R. Vaisberg, A. S. Galyavich, V. V. Gomonova, N. Yu. Grigorieva, I. V. Gubareva, I. V. Demko, A. V. Evzerikhina, A. V. Zharkov, A. A. Zateishchikova, U. K. Kamilova, Z. F. Kim, T. Yu. Kuznetsova, A. N. Kulikov, N. V. Lareva, E. V. Makarova, S. V. Malchikova, S. V. Nedogoda, M. M. Petrova, I. G. Pochinka, K. V. Protasov, D. N. Protsenko, D. Yu. Ruzanav, S. A. Sayganov, A. Sh. Sarybaev, N. M. Selezneva, A. B. Sugraliev, I. V. Fomin, O. V. Khlynova, O. Yu. Chizhova, I. I. Shaposhnik, D. A. Sh'ukarev, A. K. Abdrakhmanova, S. A. Avetisian, H. G. Avoyan, K. K. Azarian, G. T. Aimakhanova, D. A. Ayipova, A. Ch. Akunov, M. K. Alieva, A. R. Almukhambedova, A. V. Aparkina, O. R. Aruslanova, E. Yu. Ashina, O. Yu. Badina, O. Yu. Barysheva, T. I. Batluk, A. S. Batchayeva, R. A. Bashkinov, A. M. Bitieva, I. U. Bikhteyev, N. A. Borodulina, M. V. Bragin, V. A. Brazhnik, A. M. Budu, G. A. Bykova, K. R. Vagapova, D. D. Varlamova, N. N. Vezikova, E. A. Verbitskaya, O. E. Vilkova, E. A. Vinnikova, V. V. Vustina, E. A. Gаlova, V. V Genkel, D. B. Giller, E. I. Gorshenina, E. V. Grigorieva, E. U. Gubareva, G. M. Dabylova, A. I. Demchenko, O. Yu. Dolgikh, M. Y. Duyshobayev, D. S. Evdokimov, K. E. Egorova, A. E. Zheldybayeva, N. V. Zarechnova, Yu. D. Zimina, S. U. Ivanova, E. U. Ivanchenko, M. V. Ilina, M. V. Kazakovtseva, E. V. Kazymova, Yu. S. Kalinina, N. A. Kamardina, A. M. Karachenova, I. A. Karetnikov, N. A. Karoli, M. Kh. Karsiev, D. S. Кaskaeva, K. F. Kasymova, Zh. B. Kerimbekova, E. S. Kim, N. V. Kiseleva, D. A. Klimenko, O. V. Kovalishena, S. V. Kozlov, E. V. Kolmakova, T. P. Kolchinskaya, M. I. Koliadich, O. V. Kondriakova, M. P. Konoval, D. U. Konstantinov, E. A. Konstantinova, V. A. Kordukova, E. V. Koroleva, A. U. Kraposhina, T. V. Kryukova, A. S. Kuznetsova, T. U. Kuzmina, K. V. Kuzmichev, Ch. K. Kulchoroeva, T. V. Kuprina, I. M. Kuranova, L. V. Kurenkova, N. U. Kurchugina, N. A. Kushubakova, V. I. Levankova, A. A. Ledyaeva, T. V. Lisun, V. E. Lisyanskaya, N. A. Lyubavina, N. A. Magdeyeva, K. V. Mazalov, V. I. Maiseenko, A. S. Makarova, A. M. Maripov, N. V. Markov, A. A. Marusina, E. S. Melnikov, A. I. Metlinskaya, N. B. Moiseenko, F. N. Muradova, R. G. Muradyan, Sh. N. Musaelian, E. S. Nekaeva, N. M. Nikitina, S. E. Nifontov, E. U. Obolentseva, A. A. Obukhova, B. B. Ogurlieva, A. A. Odegova, Yu. V. Omarova, N. A. Omurzakova, Sh. O. Ospanova, V. A. Pavlova, E. V. Pahomova, L. D. Petrov, S. S. Plastinina, D. A. Platonov, V. A. Pogrebetskaya, D. V. Polyakov, D. S. Polyakov, E. V. Ponomarenko, L. L. Popova, A. A. Potanin, N. A. Prokofeva, J. D. Rabik, N. A. Rakov, A. N. Rakhimov, N. A. Rozanova, I. V. Samus, S. Serikbolkyzy, Ya. A. Sidorkina, A. A. Simonov, V. V. Skachkova, R. D. Skvortcova, D. S. Skuridin, D. V. Solovieva, I. A. Solovieva, I. M. Sukhomlinova, A. G. Sushilova, D. R. Tagayeva, E. P. Tikhonova, D. S. Tokmin, A. A. Tolmacheva, M. S. Torgunakova, K. V. Trenogina, N. A. Trostianetckaia, D. A. Trofimov, M. A. Trubnikova, A. A. Tulichev, A. T. Tursunova, N. D. Ulanova, O. V. Fatenkov, O. V. Fedorishina, T. S. Fil, I. U. Fomina, I. S. Fominova, I. A. Frolova, S. M. Tsvinger, V. V. Tsoma, M. B. Cholponbaeva, T. I. Chudinovskikh, I. V. Shavrin, O. A. Shevchenko, D. R. Shikhaliev, E. A. Shishkina, K. U. Shishkov, S. U. Sherbakov, G. V. Shcherbakova, E. A. Yausheva

    Published 2023-02-01
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    Deep Learning Innovations: ResNet Applied to SAR and Sentinel-2 Imagery by Giuliana Bilotta, Luigi Bibbò, Giuseppe M. Meduri, Emanuela Genovese, Vincenzo Barrile

    Published 2025-06-01
    “…Likewise, data from SAR satellites, such Copernicus’ Sentinel-1 and Jaxa’s ALOS PALSAR, provide diverse environmental investigations, allowing different types of spatial information to be analysed thanks to the particular features of analysis based on radar. …”
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    The Comparison of Technology Integration Experiences of Teachers and Faculties: Distance Teaching Context by Emine Şendurur, Ayşegül Altun

    Published 2025-03-01
    “…Comparison of these factors scores showed no significant differences in planning the instruction and post-instructional process but significant differences in process between teachers and faculties. Content analysis results show that material types are divided into six main themes, namely: (i)audio, (ii)visual, (iii)audio-visual, (iv)interactive, (v)textual, and (vi)real objects/models/sources. …”
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    A New Method of Hypothesis Test for Truncated Spline Nonparametric Regression Influenced by Spatial Heterogeneity and Application by Sifriyani, I. N. Budiantara, S. H. Kartiko, Gunardi

    Published 2018-01-01
    “…This hypothesis test aims to determine the most appropriate model used in the analysis of spatial data. The test statistic for model conformity hypothesis testing was constructed based on the likelihood ratio of the parameter set under H0 whose components consisted of parameters that were not influenced by the geographical factor and the set under the population parameter whose components consisted of parameters influenced by the geographical factor. …”
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    TEMSET-24K: Densely Annotated Dataset for Indexing Multipart Endoscopic Videos using Surgical Timeline Segmentation by Muhammad Bilal, Mahmood Alam, Deepashree Bapu, Stephan Korsgen, Neeraj Lal, Simon Bach, Amir M. Hajiyavand, Muhammed Ali, Kamran Soomro, Iqbal Qasim, Paweł Capik, Aslam Khan, Zaheer Khan, Hunaid Vohra, Massimo Caputo, Andrew D. Beggs, Adnan Qayyum, Junaid Qadir, Shazad Q. Ashraf

    Published 2025-08-01
    “…Abstract Indexing endoscopic surgical videos is vital in surgical data science, forming the basis for systematic retrospective analysis and clinical performance evaluation. …”
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    Uncertainty quantification in tree structure and polynomial regression algorithms toward material indices prediction by Geng-Fu He, Pin Zhang, Zhen-Yu Yin

    Published 2025-01-01
    “…Machine learning’s integration into reliability analysis holds substantial potential to ensure infrastructure safety. …”
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    Trustworthy AI for Whom? GenAI Detection Techniques of Trust Through Decentralized Web3 Ecosystems by Igor Calzada, Géza Németh, Mohammed Salah Al-Radhi

    Published 2025-03-01
    “…These mechanisms are analyzed within the framework of the EU’s AI Act and the Draghi Report, focusing on their potential to support content authenticity, community-driven verification, and data sovereignty. Based on a systematic policy analysis, this article proposes a multi-layered framework to mitigate the risks of AI-generated misinformation. …”
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    The Lived Experiences of Teachers with Visual Impairments in the Inclusion of Students with Visual Impairments: A Phenomenological Study by Ayşe Dilşad Yakut, Hatice Şengül Erdem

    Published 2022-08-01
    “…This study aims to reveal the lived experiences of teachers with visual impairments (VI) in the inclusion of students with VI. In this phenomenological study, data were collected from 8 teachers with VI through semi-structured interviews and analyzed by content analysis using a qualitative software program named MAXQDA20. …”
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    Changes in Customer Behavior Towards Video Advertising Post-Pandemic by Surjandy Surjandy, Cadelina Cassandra

    Published 2024-10-01
    “…After deleting outliers and non-shopping customer, there were 584 analyzable data. Covariance-Based Structural Equation Model (CB SEM) method facilitated by Lisrel Application was used for data analysis. …”
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    The Efficacy and Cost-Effectiveness of Umeclidinium/Vilanterol versus Tiotropium in Symptomatic Patients with Chronic Obstructive Pulmonary Disease by Yinhua Gong, Chen Lin, Yifeng Jin, Rong Chen

    Published 2022-01-01
    “…Methods. A simple analysis included three studies in the meta-analysis that compared UMEC/VI with TIO. …”
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