Showing 2,561 - 2,580 results of 9,218 for search 'Datchet~', query time: 2.41s Refine Results
  1. 2561
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    Time Series Analysis: Application of LSTM model in predicting PM 2.5 concentration in Beijing by Yang Rui

    Published 2025-01-01
    “…In the LSTM model, the research examines a very detailed hourly dataset and beats regular forecasting approaches. …”
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  4. 2564
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    Analysing Corporate Governance Research in the Pharmaceutical Industry: A Bibliometric Study by Sangeetha Narayanan, Subhendu Kumar Pradhan

    Published 2023-12-01
    “…These techniques were applied to a dataset of 303 documents sourced from the Scopus database, spanning the years 1987 to 2023.  …”
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  7. 2567

    Audiogmenter: a MATLAB toolbox for audio data augmentation by Gianluca Maguolo, Michelangelo Paci, Loris Nanni, Ludovico Bonan

    Published 2025-01-01
    “…Findings – The authors prove that the library is efficient using a competitive dataset. The authors try multiple data augmentation approaches proposed by them and show that they improve the performance. …”
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  8. 2568
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    An Integrated Approach for Conducting long-term PM2.5 Exposure and Health Impact Assessments for Residents of a City-scale by Ming-Shing Ho, Ming-Yeng Lin, Chih-Da Wu, Jung-Der Wang, Li-Hao Young, Hui-Tsung Hsu, Bing-Fang Hwang, Perng-Jy Tsai

    Published 2024-01-01
    “…A 1-year dataset was simultaneously collected from an established MMS for characterizing the spatiotemporal heterogeneity of the ground level (MMS1yr). …”
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  10. 2570

    Clinical and microbiological analysis of risk factors for breakthrough bloodstream infection during Tigecycline Therapy by Sol Jin, So Yun Lim, Yun Woo Lee, Heungsup Sung, Mi-Na Kim, Seongman Bae, Jiwon Jung, Min Jae Kim, Sung-Han Kim, Sang-Oh Lee, Sang-Ho Choi, Yang Soo Kim, Eun Hee Song, Yong Pil Chong

    Published 2025-02-01
    “…Intraabdominal (33.9%), catheter-related (30.4%), and hepatobiliary (19.1%) infections were the main sources of breakthrough BSI. …”
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  11. 2571

    Automated diagnosis and grading of lumbar intervertebral disc degeneration based on a modified YOLO framework by Aobo Wang, Tianyi Wang, Xingyu Liu, Xingyu Liu, Xingyu Liu, Ning Fan, Shuo Yuan, Peng Du, Congying Zou, Ruiyuan Chen, Yu Xi, Zhao Gu, Hongxing Song, Qi Fei, Yiling Zhang, Yiling Zhang, Lei Zang

    Published 2025-01-01
    “…This study aimed to develop and evaluate a deep-learning-assisted automated system for diagnosing and grading lumbar intervertebral disc degeneration based on lumbar T2-weighted sagittal and axial MR images.MethodsThis study included a total of 472 patients who underwent lumbar MR scans between January 2021 and November 2023, with 420 in the internal dataset and 52 in the external dataset. The MR images were evaluated and labeled by experts according to current guidelines, and the results were considered the ground truth. …”
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  12. 2572

    Machine learning-assisted quantitative prediction of thermal decomposition temperatures of energetic materials and their thermal stability analysis by Zhi-xiang Zhang, Yi-lin Cao, Chao Chen, Lin-yuan Wen, Yi-ding Ma, Bo-zhou Wang, Ying-zhe Liu

    Published 2024-12-01
    “…The modeling was performed based on a dataset consisting of 885 various compounds using linear and nonlinear algorithms. …”
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  13. 2573

    Exploring the assessment of post-cardiac valve surgery pulmonary complication risks through the integration of wearable continuous physiological and clinical data by Lixuan Li, Yuekong Hu, Zhicheng Yang, Zeruxin Luo, Jiachen Wang, Wenqing Wang, Xiaoli Liu, Yuqiang Wang, Yong Fan, Pengming Yu, Zhengbo Zhang

    Published 2025-01-01
    “…The DeLong test indicated that the XGB model utilizing the both dataset significantly outperformed the XGB models trained on the physiological or clinical datasets alone. …”
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  14. 2574

    Estimation of chlorophyll-a in uncrewed aircraft systems imagery using autonomous surface vessel data with machine learning algorithms and feature selection techniques by Mohammad Shakiul Islam, Padmanava Dash, Abduselam M. Nur, Hafez Ahmad, Rajendra M. Panda, Jessica S. Wolfe, Gray Turnage, Lee Hathcock, Gary D. Chesser, Jr, Robert J. Moorhead

    Published 2025-03-01
    “…Model performance was further validated using a separate dataset and assessed through metrics such as Root-Mean-Square Difference (RMSD), Mean Absolute Relative Difference (MARD), and Average Percentage Difference (APD). …”
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    Rekomendasi Pengembangan Fasilitas Wisata Tugu Pahlawan Surabaya Melalui Visualisasi Dashboard Hasil Klasifikasi Analisis Sentimen Ulasan Pengunjung by Fawwaz Roja Mahardika, Ahmad Afif Supianto, Nanang Yudi Setiawan, Raden Sandra Yuwana, Endang Suryawati

    Published 2022-02-01
    “…Based on the confusion matrix, the F1-Score value determines how well the model classifies data rather than the Accuracy value because the dataset is imbalance so that prediction errors in precision or recall are very possible. …”
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    Perbandingan Kinerja Inception- Resnetv2, Xception, Inception-v3, dan Resnet50 pada Gambar Bentuk Wajah by Fitriana Masruroh, Bayu Surarso, Budi Warsito

    Published 2023-02-01
    “…Makalah ini mencoba menyajikan perbandingan kinerja klasifikasi wajah dengan empat arsitektur deep learning Xception, ResNet50, InceptionResNet-v2, Inception-v3. Dataset yang digunakan berjumlah 4500 gambar yang terbagi lima kelas heart, long, oblong, square, round. …”
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  19. 2579

    Three-dimensional structure of entire hydrated murine hearts at histological resolution by Jasper Frohn, Frederik Böddeker, Marius Reichardt, Hendrik Bruns, Titus Czajka, Amara Khan, Ludovic Broche, Michael Krisch, Alberto Bravin, Frauke Alves, Jana Zschüntzsch, Tim Salditt

    Published 2025-01-01
    “…The hearts were fixed in formalin, stored and measured non-destructively in phosphate buffer solution. The high resolution dataset allows to discern individual cardiomyocytes in the tissue. …”
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  20. 2580

    DepITCM: an audio-visual method for detecting depression by Lishan Zhang, Lishan Zhang, Zhenhua Liu, Yumei Wan, Yunli Fan, Diancai Chen, Qingxiang Wang, Kaihong Zhang, Yunshao Zheng

    Published 2025-01-01
    “…Furthermore, inspired by multi-task learning strategies, this paper enhances the primary task of depression classification by incorporating a secondary task (regression task) to improve overall performance.ResultsWe conducted experiments on the AVEC2017 and AVEC2019 datasets. The results show that, in the classification task, our method achieved an F1 score of 0.823 and a classification accuracy of 0.823 on the AVEC2017 dataset, and an F1 score of 0.816 and a classification accuracy of 0.810 on the AVEC2019 dataset. …”
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