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  1. 16641
    Optimizing wheat crop performance: Genomic and phenomic insights into yield and days to maturity prediction using multi‐temporal UAV imagery

    Optimizing wheat crop performance: Genomic and phenomic insights into yield and days to maturity prediction using multi‐temporal UAV imagery by Sahameh Shafiee, Osval A. Montesinos‐López, José Crossa, Ingunn Burud, Jon Arne Dieseth, Muath Alsheikh, Morten Lillemo

    Published 2024-12-01
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  2. 16642
    Air quality prediction-based big data analytics using hebbian concordance and attention-based long short-term memory

    Air quality prediction-based big data analytics using hebbian concordance and attention-based long short-term memory by Sathishkumar Sekar, Zhang Wei

    Published 2025-08-01
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  3. 16643
    Blood Glucose Concentration Prediction Based on Double Decomposition and Deep Extreme Learning Machine Optimized by Nonlinear Marine Predator Algorithm

    Blood Glucose Concentration Prediction Based on Double Decomposition and Deep Extreme Learning Machine Optimized by Nonlinear Marine Predator Algorithm by Yang Shen, Deyi Li, Wenbo Wang, Xu Dong

    Published 2024-11-01
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  4. 16644
    Integrating data-driven and physics-based approaches for robust wind power prediction: A comprehensive ML-PINN-Simulink framework

    Integrating data-driven and physics-based approaches for robust wind power prediction: A comprehensive ML-PINN-Simulink framework by Rajaperumal T. A, Christopher Columbus Chinnappan

    Published 2025-08-01
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  5. 16645
    Logjams With a Lower Gap: Backwater Rise and Flow Distribution Beneath and Through Logjam Predicted by Two‐Box Momentum Balance

    Logjams With a Lower Gap: Backwater Rise and Flow Distribution Beneath and Through Logjam Predicted by Two‐Box Momentum Balance by E. Follett, I. Schalko, H. Nepf

    Published 2021-08-01
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  6. 16646
    Logarithmic Mean Divisia Index Analysis and Dynamic Back Propagation Neural Network Prediction of Transport Carbon Emissions in Henan Province

    Logarithmic Mean Divisia Index Analysis and Dynamic Back Propagation Neural Network Prediction of Transport Carbon Emissions in Henan Province by Changjiang Mao, Jian Luo, Shengyang Jiao, Bin Zhao

    Published 2025-03-01
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  7. 16647
    Predicting per capita expenditure using satellite imagery and transfer learning: A case study of east Java province, Indonesia

    Predicting per capita expenditure using satellite imagery and transfer learning: A case study of east Java province, Indonesia by Heri Kuswanto, Wahidatul Wardah Al Maulidiyah, Widhianingsih Tintrim Dwi Ary, Yudistira Ashadi

    Published 2025-01-01
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  8. 16648
    Integration of YOLOv9 Segmentation and Monocular Depth Estimation in Thermal Imaging for Prediction of Estrus in Sows Based on Pixel Intensity Analysis

    Integration of YOLOv9 Segmentation and Monocular Depth Estimation in Thermal Imaging for Prediction of Estrus in Sows Based on Pixel Intensity Analysis by Iyad Almadani, Aaron L. Robinson, Mohammed Abuhussein

    Published 2025-06-01
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  9. 16649
    A novel nomogram for predicting osteoporosis with low back pain among the patients in Wenshan Zhuang and Miao Autonomous Prefecture of China

    A novel nomogram for predicting osteoporosis with low back pain among the patients in Wenshan Zhuang and Miao Autonomous Prefecture of China by Man Jia, Man Jia, Qinzuo Dong, Zeqin Ren, Liwei Xing, Jinjie Li, Xiaomei Wang, Shun Yu, Xiaoyan Wang, Rong Zhao, Rong Zhao

    Published 2025-06-01
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  10. 16650
    Development and validation of a CT-based radiomics nomogram for predicting progression-free survival in patients with small cell lung cancer

    Development and validation of a CT-based radiomics nomogram for predicting progression-free survival in patients with small cell lung cancer by Nan Yang, Zhuang Xuan Ma, Xin Wang, Li Xiao, Liang Jin, Ming Li

    Published 2025-05-01
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  11. 16651
    Clinical prognosis evaluation of alpha-fetoprotein-positive gastric cancer: comprehensive analysis and development of a novel nomogram for survival prediction

    Clinical prognosis evaluation of alpha-fetoprotein-positive gastric cancer: comprehensive analysis and development of a novel nomogram for survival prediction by Fei Zuo, Yunyan Tan, Wenjun Mao, Zhaoqing Tang, Tianping Luo

    Published 2025-05-01
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  12. 16652
    MS2Lipid: A Lipid Subclass Prediction Program Using Machine Learning and Curated Tandem Mass Spectral Data

    MS2Lipid: A Lipid Subclass Prediction Program Using Machine Learning and Curated Tandem Mass Spectral Data by Nami Sakamoto, Takaki Oka, Yuki Matsuzawa, Kozo Nishida, Jayashankar Jayaprakash, Aya Hori, Makoto Arita, Hiroshi Tsugawa

    Published 2024-11-01
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  13. 16653
    Predicting atezolizumab response in metastatic urothelial carcinoma patients using machine learning on integrated tumour gene expression and clinical data

    Predicting atezolizumab response in metastatic urothelial carcinoma patients using machine learning on integrated tumour gene expression and clinical data by Chayanit Piyawajanusorn, Ghita Ghislat, Pedro J. Ballester

    Published 2025-06-01
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  14. 16654
    Predictive utility of nomogram based on serum glucose-regulated protein 78 and kidney function for long-term kidney graft survival

    Predictive utility of nomogram based on serum glucose-regulated protein 78 and kidney function for long-term kidney graft survival by Keiji Fujimoto, Hiroki Adachi, Serina Kita, Megumi Sakuma, Hirotaka Yamanouchi, Sho Kumano, Ai Fujii, Keita Yamazaki, Keiichiro Okada, Norifumi Hayashi, Kengo Furuichi

    Published 2024-11-01
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  15. 16655
    A Simple Nomogram for Predicting Extended High-Frequency Hearing Loss in Pilots Despite Normal Audiometry: A Retrospective Study

    A Simple Nomogram for Predicting Extended High-Frequency Hearing Loss in Pilots Despite Normal Audiometry: A Retrospective Study by Rong Xue, Hao Zhang, Yu Pu, Xinru Kong

    Published 2025-03-01
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  16. 16656
    Left ventricular systolic dysfunction predicted by artificial intelligence using the electrocardiogram in Chagas disease patients-The SaMi-Trop cohort.

    Left ventricular systolic dysfunction predicted by artificial intelligence using the electrocardiogram in Chagas disease patients-The SaMi-Trop cohort. by Bruno Oliveira de Figueiredo Brito, Zachi I Attia, Larissa Natany A Martins, Pablo Perel, Maria Carmo P Nunes, Ester Cerdeira Sabino, Clareci Silva Cardoso, Ariela Mota Ferreira, Paulo R Gomes, Antonio Luiz Pinho Ribeiro, Francisco Lopez-Jimenez

    Published 2021-12-01
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  17. 16657
    Utilizing of seasonal time series forms in predicting the quantity of electric power demand in Erbil city between the year (2010-2019)

    Utilizing of seasonal time series forms in predicting the quantity of electric power demand in Erbil city between the year (2010-2019) by Ravaz Muhammad Salih, Marwan Taiq hasan

    Published 2020-12-01
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  18. 16658
    A multimodal nomogram for predicting disease progression in diabetic patients with coronary artery disease: integrating clinical, ultrasound, and angiographic data

    A multimodal nomogram for predicting disease progression in diabetic patients with coronary artery disease: integrating clinical, ultrasound, and angiographic data by Jing Chen, Ling Yue, Ruonan Wang, Sunjing Shu, Jin Liu, Mingmin Yan, Changkong Ye, Liu Shuang

    Published 2025-05-01
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  19. 16659
    Synergistic use of satellite, legacy, and in situ data to predict spatio-temporal patterns of the invasive Lantana camara in a savannah ecosystem

    Synergistic use of satellite, legacy, and in situ data to predict spatio-temporal patterns of the invasive Lantana camara in a savannah ecosystem by Lilly Theresa Schell, Emma Evers, Sarah Schönbrodt-Stitt, Konstantin Müller, Maximilian Merzdorf, Drew Arthur Bantlin, Insa Otte

    Published 2025-08-01
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  20. 16660
    Improving spatial prediction of Schistosoma haematobium prevalence in southern Ghana through new remote sensors and local water access profiles.

    Improving spatial prediction of Schistosoma haematobium prevalence in southern Ghana through new remote sensors and local water access profiles. by Alexandra V Kulinkina, Yvonne Walz, Magaly Koch, Nana-Kwadwo Biritwum, Jürg Utzinger, Elena N Naumova

    Published 2018-06-01
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