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  1. 21281

    Analisis Sentimen terhadap Kebijakan Kuliah Daring Selama Pandemi Menggunakan Pendekatan Lexicon Based Features dan Support Vector Machine by Natasya Eldha Oktaviana, Yuita Arum Sari, Indriati Indriati

    Published 2022-02-01
    “…Sentiment analysis is useful for determining the timeliness of system computing in discussions on Twitter regarding online learning policies that tend to have negative or positive sentiments using the Support Vector Machine and Lexicon Based Features methods. …”
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    Article
  2. 21282
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  4. 21284

    Analisis Perbaikan dan Pemodelan Proses Bisnis Menggunakan Business Process Improvement Pada Sistem Manajemen Budidaya Buah Agrowing by Addini Yusmar, Yani Nurhadryani, Irman Hermadi

    Published 2023-10-01
    “…Testing is performed by simulating business process time using the bizagi modeler tool and computing quality measures with the Complexity Metric (CFC) and Coupling Metric (CP). …”
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    Article
  5. 21285
  6. 21286

    Perbandingan Pretrained Model Transformer pada Deteksi Ulasan Palsu by Aisyah Awalina, Fitra Abdurrachman Bachtiar, Fitri Utaminingrum

    Published 2022-06-01
    “…Afterward, DistilBERT models obtained the shortest computation time with 200.5 seconds. However, the results obtained by both Transformer and deep learning models perform well to detect spam reviews in the Ott dataset. …”
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    Article
  7. 21287

    Joint Distribution pada Weighted Majority Vote (WMV) untuk Peningkatan Kinerja Sentiment Analysis Tersupervisi pada Dataset Twitter by Bagus Setya Rintyarna

    Published 2022-10-01
    “…Abstract Sentiment analysis is a computational text mining technique based on natural language processing (NLP) to extract someone's opinion expressed in online platforms, including the Twitter microblogging platform, one of the most popular microblogging platforms used in Indonesia. …”
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    Article
  8. 21288
  9. 21289

    Prediksi Detak Jantung Berbasis LSTM pada Raspberry Pi untuk Pemantauan Kesehatan Portabel by Ahmad Foresta Azhar Zen, Eko Sakti Pramukantoro, Kasyful Amron, Viera Wardhani, Putri Annisa Kamila

    Published 2024-10-01
    “…The Raspberry Pi is renowned for its compact size, affordability, reliable performance, and efficient computational capabilities. It also enables seamless integration with various sensors, making it an ideal solution for portable health monitoring. …”
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    Article
  10. 21290
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  13. 21293

    A Model for Organizational Preparedness of SMEs During COVID-19 Pandemic in Kigezi Sub-region in South Western Uganda. by Tamwesigire, Caleb, Nafiu, Lukman Abiodun

    Published 2023
    “…Two-stage cluster sampling technique was used and the sample size was computed using Yamane’s sampling formulae based on a 5% level of precision. …”
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    Technical Report
  14. 21294

    Investigation of the Performance of a Sb2S3-Based Solar Cell with a Hybrid Electron Transport Layer (h-ETL): A Simulation Approach Using SCAPS-1D Software by Pierre Gérard Darel Kond Ngue, Ariel Teyou Ngoupo, Aimé Magloire Ntouga Abena, François Xavier Abomo Abega, Jean-Marie Bienvenu Ndjaka

    Published 2024-01-01
    “…In this research contribution, computational analysis using SCAPS-1D software is performed to explore the output photovoltaic parameters of a Sb2S3-based solar cell with h-ETL. …”
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    Article
  15. 21295

    Global, regional, and national epidemiology of childhood neuroblastoma (1990–2021): a statistical analysis of incidence, mortality, and DALYsResearch in context by Jusen Nong, Cheng Su, Changhua Li, Congjun Wang, Wei Li, Yong Li, Peng Chen, Yanqiang Li, Zihao Li, Xinjin She, Zuxin Yuan, Sentian Liu, Chao Chen, Qian Liao, Yige Luo, Bo Shi

    Published 2025-01-01
    “…Trends were assessed using Joinpoint regression models to compute the annual percent change (APC) and log-transformed linear regression models to calculate the estimated average annual percentage change (EAPC). …”
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    Article
  16. 21296

    Effectiveness of Mobile Health–Based Gamification Interventions for Improving Physical Activity in Individuals With Cardiovascular Diseases: Systematic Review and Meta-Analysis of... by Tianzhuo Yu, Monica Parry, Tianyue Yu, Linqi Xu, Yuejin Wu, Ting Zeng, Xin Leng, Qian Tong, Feng Li

    Published 2025-01-01
    “…Statistical analyses were conducted using R (version 4.3.2; R Foundation for Statistical Computing). ResultsIn total, 6 randomized controlled trials were included. …”
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    Article
  17. 21297

    Predictive value of the systemic immune–inflammation index for outcomes in large artery occlusion treated with mechanical thrombectomy—a single-center study by Ao Qian, Longyi Zheng, Hui He, Jia Duan, Shuang Tang, Wenli Xing

    Published 2025-01-01
    “…Multivariate analysis demonstrated that heightened SII was significantly related to HT (odds ratio [OR]: 1.061, 95% confidence interval [CI]: 1.035–1.086, p < 0.001), MBE (OR: 1.074, 95% CI: 1.045–1.103, p < 0.001), adverse function (OR: 1.061, 95% CI: 1.031–1.092, p < 0.001), and mortality (OR: 1.044, 95% CI: 1.018–1.070, p = 0.001), after adjusting sex, age, Glasgow Coma Scale (GCS) score at admission, initial National Institutes of Health Stroke Scale (NIHSS) score, baseline Alberta Stroke Program Early Computed Tomography Score (ASPECTS), present HMCAS, occluded vessel region, collateral score and successful revascularization. …”
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    Article
  18. 21298

    Thoracolumbar fascia ultrasound shear strain differs between low back pain and asymptomatic individuals: expanding the evidence by Norio Tomita, Marie-Hélène Roy-Cardinal, Boris Chayer, Stacey Daher, Ameer Attiya, Aline Boulanger, Nathaly Gaudreault, Guy Cloutier, Nathalie J. Bureau

    Published 2025-01-01
    “…Cumulated (C|ShS|L) and maximum (Max|ShS|L) shear strain parameters were computed from radiofrequency data, and TLF thickness was measured on reconstructed B-mode images. …”
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    Article
  19. 21299

    Antifungal activity and biocompatibility assessment with molecular docking and dynamic simulations of new pyrazole derivatives by Basma T. Abd-Elhalim, Ghada G. El-Bana, Ahmed F. El-Sayed, Ghada E. Abdel-Ghani

    Published 2025-02-01
    “…Additionally, the computational ADMET “Absorption–distribution–metabolism–excretion–toxicity” analysis of these compounds revealed adherence to Lipinski’s rules, indicating favorable physicochemical characteristics. …”
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    Article
  20. 21300

    Comparing Deep Learning models for mapping rice cultivation area in Bhutan using high-resolution satellite imagery by Biplov Bhandari, Timothy Mayer

    Published 2025-01-01
    “…Two Deep Learning approaches, point-based (DNN) and patch-based (U-Net), models were used in conjunction with cloud-computing platforms. Four different models per Deep Learning approaches (DNN and U-Net) were trained: (1) Red, Green, Blue, and Near-Infrared (RGBN) channels from Planet, (2) RGBN and Elevation data (RGBNE), (3) RGBN and Sentinel-1 data (RGBNS), and (4) RGBN with Elevation and Sentinel-1 data (RGBNES). …”
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    Article