بدائل البحث:
processing algorithm » modeling algorithm (توسيع البحث), routing algorithm (توسيع البحث), tracking algorithm (توسيع البحث)
data algorithm » data algorithms (توسيع البحث), update algorithm (توسيع البحث), atlas algorithm (توسيع البحث)
ii algorithm » _ algorithm (توسيع البحث), _ algorithms (توسيع البحث)
element data » settlement data (توسيع البحث), relevant data (توسيع البحث), movement data (توسيع البحث)
develop ii » develop _ (توسيع البحث), develop a (توسيع البحث), develop high (توسيع البحث)
processing algorithm » modeling algorithm (توسيع البحث), routing algorithm (توسيع البحث), tracking algorithm (توسيع البحث)
data algorithm » data algorithms (توسيع البحث), update algorithm (توسيع البحث), atlas algorithm (توسيع البحث)
ii algorithm » _ algorithm (توسيع البحث), _ algorithms (توسيع البحث)
element data » settlement data (توسيع البحث), relevant data (توسيع البحث), movement data (توسيع البحث)
develop ii » develop _ (توسيع البحث), develop a (توسيع البحث), develop high (توسيع البحث)
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<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043)
منشور في 2025"…All analyses were performed using the <i>lmer</i>, <i>emmeans</i> and <i>multcomp</i> packages in R (v.4.3.1).</p><h2><b>B. Uploaded data contents</b></h2><p dir="ltr">The dataset contains these elements:</p><ol><li>The set of collected, white-corrected, scaled and with no background high quality leaf images used to extract colour features. …"
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Supporting files for thesis "Deep-learning-based Morphological Modelling: Case Study in Soft Robot Control, Shape Sensing and Deformation"
منشور في 2025"…Considering 2D images are more accessible and common compared to 3D topology data, this thesis also investigates soft tissue modelling via medical images. …"
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Collaborative Research: SCIPE: Interdisciplinary Research Support Community for Artificial Intelligence and Data Sciences
منشور في 2025"…<br><br>To achieve 10x-100x reduction in DNN energy consumption, a holistic approach is pursued, which encompasses: (1) new circuit designs that leverage emerging CMOS+X technologies; (2) a novel near-memory architecture in which processing elements are seamlessly integrated with traditional Dynamic RAM (DRAM); (3) novel 3D-matrix-based per-layer DNN computations and data-layout optimizations for kernel weights; and (4) algorithms and hardware/software co-design tailored for near-real-time DNN-based signal classification in next-generation wireless systems. …"