بدائل البحث:
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
flow function » from function (توسيع البحث), low functional (توسيع البحث), loss function (توسيع البحث)
using vision » using decision (توسيع البحث), using excision (توسيع البحث), using visual (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
flow function » from function (توسيع البحث), low functional (توسيع البحث), loss function (توسيع البحث)
using vision » using decision (توسيع البحث), using excision (توسيع البحث), using visual (توسيع البحث)
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Comparison of deconvolution and optimization algorithms on a batch of data.
منشور في 2021"…Both experimental data have been resampled at 50ms and used to compute a set of TFs (in orange) either with direct deconvolution approaches (Fourier or Toeplitz methods, middle-upper panel TFs) or with 1-Γ function optimization performed by 3 different algorithms (middle-lower panel TFs). …"
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Table 1_Cluster segmentation and stereo vision-based apple localization algorithm for robotic harvesting.docx
منشور في 2025"…</p>Methods<p>This study proposes an enhanced K-Means clustering segmentation algorithm integrated with a stereo-vision system for accurate 3D apple localisation. …"
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Detection of coffee fruits on tree branches using computer vision
منشور في 2022"…Based on deep learning algorithms, the computer vision model YOLO (You Only Look Once), was trained on 387 images taken from coffee branches using a smartphone. …"
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Hyperparameter settings of the algorithm 1.
منشور في 2024"…Therefore, this paper presents a novel adaptive control structure for the Twin Delayed Deep Deterministic Policy Gradient algorithm, which is based on a reference trajectory model (TD3-RTM). …"
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Applicability of computer vision in seed identification: deep learning, random forest, and support vector machine classification algorithms
منشور في 2022"…Computer vision proved to be efficient at classifying species using all three algorithms, with an accuracy rate for SVM of 97.91 %, random forest 97.08 % and deep learning 92.5 %. …"