Showing 221 - 240 results of 440 for search '(( conducted control set algorithm ) OR ( collected control set algorithm ))', query time: 0.27s Refine Results
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    PEMANFAATAN DIGITAL TERRAIN MODEL HASIL FOTOGRAMETRI UNMANED AERIAL VEHICLE UNTUK ESTIMASI KETINGGIAN GENANGAN AIR BANJIR HASIL DETEKSI CITRA SYNTHETIC APPERTURE RADAR by Hariady Indra Mantong

    Published 2021-05-01
    “…This study has produced 4 sets of DTMs; 2 sets of DTMs with different grid resolution which are 2 cm & 40 cm, also the 2 other sets of DTM with extra fine nature algorithm and set of filtering parameters adjustment; bulge, offset, spike and standard deviation. …”
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    Article
  5. 225

    An Automated Decision Support System for Portfolio Allocation Based on Mutual Information and Financial Criteria by Massimiliano Kaucic, Renato Pelessoni, Filippo Piccotto

    Published 2025-04-01
    “…Numerical experiments on the US and European stock markets over the past ten years are conducted, and the results show that the flexibility of the proposed portfolio model allows the better control of losses, particularly during market downturns, thereby providing superior or at least comparable ex post performance with respect to several benchmark investment strategies.…”
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  6. 226

    CNN-Based Automatic Detection of Beachlines Using UAVs for Enhanced Waste Management in Tailings Storage Facilities by Sergii Anufriiev, Paweł Stefaniak, Wioletta Koperska, Maria Stachowiak, Artur Skoczylas, Paweł Stefanek

    Published 2025-05-01
    “…In this article, we propose a method for automatic detection of the water-beach line based on photographs from an unmanned aerial vehicle (UAV). An algorithm based on MobileNet v2 convolutional neural network architecture was developed for the classification of images collected by the UAV. …”
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    Accuracy of a 2-minute eye-tracking assessment to differentiate young children with and without autism by Kristelle Hudry, Lacey Chetcuti, Diana Weiting Tan, Alena Clark, Alexandra Aulich, Catherine A. Bent, Cherie C. Green, Jodie Smith, Kathryn Fordyce, Masaru Ninomiya, Atsushi Saito, Shuji Hakoshima, Andrew J. O. Whitehouse

    Published 2025-07-01
    “…Limitations Our groups differed on socio-demographic characteristics and overall tracking (included within the Classification Algorithm). We used the ‘Scene 10A’ stimulus set as provided, without update/modification. …”
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    Heterogeneity analysis provides evidence for a genetically homogeneous subtype of bipolar-disorder. by Caroline C McGrouther, Aaditya V Rangan, Arianna Di Florio, Jeremy A Elman, Nicholas J Schork, John Kelsoe, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium

    Published 2025-01-01
    “…This disease-specific genetic pattern (i.e., 'genetic subgroup') replicates across the remaining data-sets collected by the PGC containing 5781/8289, 3581/7591, and 6825/9752 cases/controls, respectively. …”
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  16. 236

    Optimal vaccination model of airborne infection under variable humidity and demographic heterogeneity for hybrid fractional operator technique by Saima Rashid, Ilyas Ali, Nida Fatima, Tehreem Fatima, Fekadu Tesgera Agam, Sayed K. Elagan

    Published 2025-04-01
    “…Our system’s best-fit parameter settings were detected using the Markov Chain Monte Carlo (M-C-M-C) technique with influenza information collected in Spain. …”
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    Machine Learning Forecasting of Commercial Buildings’ Energy Consumption Using Euclidian Distance Matrices by Connor Scott, Alhussein Albarbar

    Published 2025-08-01
    “…Governments worldwide have set ambitious targets for decarbonising energy grids, driving the need for increased renewable energy generation and improved energy efficiency. …”
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    Machine Learning-Based Objective Evaluation Model of CTPA Image Quality: A Multi-Center Study by Sun Q, Liu Z, Ding T, Shi C, Hou N, Sun C

    Published 2025-02-01
    “…The model offers effective support for improving image quality control efficiency and precision. However, the limited sample size may affect the model’s generalizability, so it’s essential to conduct further research with larger datasets.Keywords: CT pulmonary angiography, machine learning, image quality, data interpretation…”
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