Showing 48,261 - 48,280 results of 50,948 for search 'data application', query time: 0.38s Refine Results
  1. 48261

    DBY-Tobacco: a dual-branch model for non-tobacco related materials detection based on hyperspectral feature fusion by Cheng Shen, Cheng Shen, Yuecheng Qi, Lijun Yun, Xu Zhang, Zaiqing Chen, Zaiqing Chen

    Published 2025-03-01
    “…To improve processing efficiency of HSIs data, three characteristic wavelengths (580nm, 680nm, and 850nm) were extracted by analyzing the weighted coefficients of the principal components. …”
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  2. 48262

    Impact of ovarian hyperstimulation syndrome on intracytoplasmic sperm injection outcomes in poly-cystic ovarian syndrome women: A cross-sectional study by Mufeda Ali Jwad, Maryam Hussein Khaleefah, Ramih Abd AlFattah Naser

    Published 2025-04-01
    “…Materials and Methods: In this cross-sectional study, data of 84 PCOS women who underwent controlled ovarian stimulation using a flexible antagonist protocol-treated intracytoplasmic sperm injection cycles referred to the Infertility Department of Higher Institute for the Diagnosis of Infertility and Assisted Reproduction Techniques, Baghdad, Iraq between January 2020 and December 2023 was extracted from their medical records. …”
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  3. 48263

    Near-infrared spectroscopy analysis to predict urinary allantoin in dairy cows by Leonardo A.C. Ribeiro, Guilherme L. Menezes, Tiago Bresolin, Sebastian I. Arriola Apelo, Joao R.R. Dórea

    Published 2025-03-01
    “…The partial least squares regression model achieved an R2 of 0.55, a concordance correlation coefficient of 0.73, and a root mean squared error of prediction (RMSEP) of 3.63 mmol/L to predict allantoin concentration from the spectra data set without preprocessing. However, the use of the first derivative (FirstDev) as a preprocessing step reduced the RMSEP from 3.63 mmol/L to 3.25 mmol/L and increased the R2 from 0.55 to 0.62. …”
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  4. 48264

    Predicting carbohydrate quality in a global database of packaged foods by Eric Antoine Scuccimarra, Alexandre Arnaud, Marie Tassy, Marie Tassy, Kim-Anne Lê, Fabio Mainardi

    Published 2025-03-01
    “…Our predictions were tested by splitting the dataset into training, validation, and test sets, using US data.ResultsWe were able to predict free sugars and carbohydrate quality for 424,543 products in the U.S. and in 14 countries. …”
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  5. 48265

    Two-Stream Modality-Based Deep Learning Approach for Enhanced Two-Person Human Interaction Recognition in Videos by Hemel Sharker Akash, Md Abdur Rahim, Abu Saleh Musa Miah, Hyoun-Sup Lee, Si-Woong Jang, Jungpil Shin

    Published 2024-11-01
    “…Human interaction recognition (HIR) between two people in videos is a critical field in computer vision and pattern recognition, aimed at identifying and understanding human interaction and actions for applications such as healthcare, surveillance, and human–computer interaction. …”
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  6. 48266
  7. 48267

    Hierarchical segmentation framework with dynamic parameter optimization for accurate stem-leaf partitioning and phenotypic extraction in maize by Yingjie Zhao, Dongjie Liu, Jiangtan Yao, Zhen Wang, Xuanyu Mu, Zongwei Jia

    Published 2025-12-01
    “…The proposed method was systematically evaluated on maize plant point cloud data at multiple growth stages, and compared with manually annotated results. …”
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  8. 48268

    Lumen-Apposing Metal Stents in the Management of Complex Pelvic Abscesses by Kenneth W. Chow, Nicholas A. Cumpian, Ranjit Makar, Pejman Zargar, Fouzia Oza, Idrees Suliman, Viktor Eysselein, Sofiya Reicher

    Published 2024-12-01
    “…Background: Lumen-apposing metal stents (LAMS) are utilized in a wide range of therapeutic gastrointestinal applications. We present our experience with LAMS-assisted drainage of complex pelvic abscesses at a large safety-net hospital. …”
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  9. 48269
  10. 48270

    Molecular Docking of Key Compounds from Acacia Honey and <i>Nigella sativa</i> Oil and Experimental Validation for Colitis Treatment in Albino Mice by Mehwish Bibi, Irfan Baboo, Hamid Majeed, Santosh Kumar, Maximilian Lackner

    Published 2024-12-01
    “…However, further research into long-term safety, optimal dosing, and mechanisms of action is warranted to translate these findings into clinical applications.…”
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  11. 48271

    Enhanced discovery of bacterial laccase‐like multicopper oxidase through computer simulation and metagenomic analysis of industrial wastewater by Ting Cui, Ariel Kushmaro, Hana Barak, Anja Poehlein, Rolf Daniel, Hans‐Jürgen Mägert

    Published 2025-07-01
    “…Here, we identified 34 putative bacterial laccase sequences from metagenome data for industrial wastewater. We used machine‐learning tools to screen enzymes with laccase activity by combining the T1 copper‐binding capacity, the overall copper‐binding capacity and the substrate‐binding capacity. …”
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  12. 48272
  13. 48273

    Design and Evaluation of ADANet: A High-Fidelity Motion Acquisition Framework for Assistive Gesture-Based Interfaces by Md Ettashamul Haque, Atique Tajwar, Akm Azad, Salem A. Alyami, Md Mehedi Hasan

    Published 2025-01-01
    “…Our model was trained on data from 21 healthy participants(12 male &#x0026; 9 female) performing eight functional gestures demonstrate a test accuracy of 84.47%, F1-score of 0.84, and AUC<inline-formula> <tex-math notation="LaTeX">$\geq 0.96$ </tex-math></inline-formula>, outperforming traditional classifiers such as XGBoost, SVM, and KNN across multiple evaluation metrics. …”
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  14. 48274

    Profiling of Volatile Organic Compounds, Including Halogenated Substances, in Okinawan Red Alga <i>Portieria hornemannii</i> by Kazuki Tani, Yu Sasaki, Takahiro Ishii, Yonathan Asikin

    Published 2025-06-01
    “…However, SLE-GC-MS provided a different <i>P. hornemannii</i> volatile profile, allowing for the acquisition of more furan-, alcohol-, ester-, and carboxylic acid-containing compounds. These data provide valuable information, such as a systematic analytical framework for volatiles profiling in the marine macroalgae <i>P. hornemannii</i>, with potential applicability in the development of food and fragrance products.…”
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  15. 48275
  16. 48276

    3-D&#x2013;2-D Hybrid Lightweight CNN Model: Enhancing Canopy Feature Retrieval in Hyperspectral Imaging for Accurate Plant Species Classification by Chinsu Lin, Hung-Yi Chien, Keng-Hao Liu

    Published 2025-01-01
    “…These findings highlight Hybrid-LtCNN&#x2019;s scalability, interpretability, and potential for practical applications in remote sensing-based plant species classification.…”
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  17. 48277

    Exploring Long-Term Clean Energy Transition Pathways in Ghana Using an Open-Source Optimization Approach by Romain Akpahou, Jesse Essuman Johnson, Erica Aboagye, Fernando Plazas-Niño, Mark Howells, Jairo Quirós-Tortós

    Published 2025-07-01
    “…This study proposes a unique contextualized open-source modelling framework for a data-constrained, lower–middle-income country, offering a replicable approach for similar contexts in Sub-Saharan Africa. …”
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  18. 48278

    Improving Solar Radiation Forecasting in Cloudy Conditions by Integrating Satellite Observations by Qiangsheng Bu, Shuyi Zhuang, Fei Luo, Zhigang Ye, Yubo Yuan, Tianrui Ma, Tao Da

    Published 2024-12-01
    “…In addition, multi-step forecasts with a low latency make the advance planning and management of solar energy possible in practical applications.…”
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  19. 48279

    Relationship between types of smartphone use among adolescents and smartphone addiction: focusing on gender differences by Sunghwan Cho, Seoyoon Lee, Hyun-Jae Woo, Yun-Hee Ko, Kyu-Hyoung Jeong

    Published 2025-03-01
    “…This study aimed to examine smartphone usage patterns and their association with smartphone addiction, with a specific focus on gender differences. Methods: Data were derived from the 2022 Korean Children and Youth Panel Survey (KCYPS), which included 4524 adolescents. …”
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  20. 48280

    Redefining Workspaces: Young Entrepreneurs Thriving in the Metaverse’s Remote Realm by Rinku Mahindru, Gautam Bapat, Punam Bhoyar, G. David Abishek, Anuj Kumar, Sonia Vaz

    Published 2024-01-01
    “…Furthermore, it advocates for policymakers to develop supportive regulations and policies that recognize and accommodate the intricacies of virtual contracts, data protection, and cross-border collaborations. …”
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