Showing 601 - 620 results of 1,075 for search 'Datchet~', query time: 2.15s Refine Results
  1. 601

    Enhancing climate resilience: A data-driven north rift weather prediction system for real-time forecasting and agricultural decision support by John W. Makokha, Peter W. Barasa, Geoffrey W. Khamala

    Published 2025-02-01
    “…Trained on a comprehensive dataset spanning 1995 to 2020, which includes precipitation (from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS)), temperature (TerraClimate), historical NDVI (Landsat 4–5 Thematic Mapper (from 1995 to 2013) and Landsat 7 Enhanced Thematic Mapper plus (ETM+) (from 2014 to 2020)), and BSI (SoilGrids) data, the models effectively capture the complex relationships between environmental factors and vegetation health. …”
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  2. 602

    Social media warfare: investigating human-bot engagement in English, Japanese and German during the Russo-Ukrainian war on Twitter and Reddit by Wentao Xu, Kazutoshi Sasahara, Jianxun Chu, Bin Wang, Wenlu Fan, Zhiwen Hu

    Published 2025-02-01
    “…To address this gap, we conducted a comparative analysis of human-bot engagement by examining a longitudinal dataset of tweets and comments related to the Bucha unlawful killings, focusing on three languages: English, Japanese, and German. …”
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  3. 603
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    A Water Extraction Method for Multiple Terrains Area Based on Multisource Fused Images: A Case Study of the Yangtze River Basin by Huang Ruolong, Shen Qian, Fu Bolin, Yue Yao, Yuting Zhang, Qianyu Du

    Published 2025-01-01
    “…In conclusion, this method facilitates consistent water extraction on large datasets.…”
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  5. 605

    Prediction models for cognitive impairment in middle-aged patients with cerebral small vessel disease by Wei Zheng, Xiaoyan Qin, Ronghua Mu, Peng Yang, Bingqin Huang, Bingqin Huang, Zhixuan Song, Xiqi Zhu, Xiqi Zhu

    Published 2025-02-01
    “…PurposeThis study aims to develop hippocampal texture model for predicting cognitive impairment in middle-aged patients with cerebral small vessel disease (CSVD).MethodsThe dataset included 145 CSVD patients (Age, 52.662 ± 5.151) and 99 control subjects (Age, 52.576±4.885). …”
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  6. 606
  7. 607

    Advances in colorectal cancer diagnosis using optimal deep feature fusion approach on biomedical images by Sultan Refa Alotaibi, Manal Abdullah Alohali, Mashael Maashi, Hamed Alqahtani, Moneerah Alotaibi, Ahmed Mahmud

    Published 2025-02-01
    “…A series of simulations is accomplished to highlight the significant results of the CCD-ODFFBI method under the Warwick-QU dataset. The comparison of the CCD-ODFFBI method showed a superior accuracy value of 99.39% over existing techniques.…”
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  8. 608

    Identification of Plasma Proteins Associated with Alzheimer's Disease Using Feature Selection Techniques and Machine Learning Algorithms by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

    Published 2025-02-01
    “…We applied two feature selection methods, Sequential Backward Feature Selection (SBFS) and Analysis of Variance (ANOVA) to extract significant proteins from a dataset of 146  proteins. The data was collected from the plasma of 566 individuals, comprising both Alzheimer’s patients and healthy controls. …”
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  9. 609

    Beyond averages: dissecting urban-rural disparities in skilled antenatal care utilization in Bangladesh - a conway-maxwell-poisson regression analysis by Md. Muddasir Hossain Akib, Farzana Afroz, Bikash Pal

    Published 2025-02-01
    “…Methods For this purpose, a nationally representative secondary dataset from the Bangladesh Demographic and Health Survey (BDHS, 2017-18) has been considered. …”
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  10. 610
  11. 611

    Cross-Modal Augmented Transformer for Automated Medical Report Generation by Yuhao Tang, Ye Yuan, Fei Tao, Minghao Tang

    Published 2025-01-01
    “…Experimental results demonstrate the effectiveness of the proposed method on two datasets.Clinical impact: This work aims to design an automated framework for explaining medical images to evaluate the health status of individuals, thereby facilitating their broader application in clinical settings.Clinical and Translational Impact Statement: In our preclinical research, we develop an automated system for generating diagnostic reports. …”
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  15. 615

    Integrating radiological and clinical data for clinically significant prostate cancer detection with machine learning techniques by Luis Mariano Esteban, Ángel Borque-Fernando, Maria Etelvina Escorihuela, Javier Esteban-Escaño, Jose María Abascal, Pol Servian, Juan Morote

    Published 2025-02-01
    “…This study explores modeling using regularization techniques such as ridge regression, LASSO, elastic net, classification tree, tree ensemble models like random forest or XGBoost, and neural networks to predict CsPCa in a dataset of 4799 patients in Catalonia (Spain). An 80–20% split was employed for training and validation. …”
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  16. 616

    Segmentasi Wilayah Terdampak Bencana Berdasarkan Fitur Geo-Posisi by Ade Sutedi, Indri Tri Julianto, Leni Fitriani

    Published 2024-08-01
    “…Pada penelitian ini, simulasi DAS-Apps dilakukan menggunakan dataset gempa (M ≥ 5.0) yang berasal dari Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) pada rentang bulan November dan Desember 2022 khusunya data bencana gempa bumi untuk wilayah Cianjur, Indonesia. …”
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    Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction by Zhibo Wang, Xin Chen, Xi Tan, Lingfeng Yang, Kartik Kannapur, Justin L. Vincent, Garin N. Kessler, Boshu Ru, Mei Yang

    Published 2021-07-01
    “…Model performance was assessed by area under the curve (AUC) values, precision, and recall on an independent testing dataset. **Results:** A total of 47 498 HFrEF patients were included; 9427 with at least one HF hospitalization. …”
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    ClassWise-SAM-Adapter: Parameter-Efficient Fine-Tuning Adapts Segment Anything to SAR Domain for Semantic Segmentation by Xinyang Pu, Hecheng Jia, Linghao Zheng, Feng Wang, Feng Xu

    Published 2025-01-01
    “…A segment anything model (SAM), built on the vision transformer (ViT) model with millions of parameters and trained on its corresponding large-scale dataset SA-1B, excels in various segmentation scenarios relying on its significance of semantic information and generalization ability. …”
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