Mechanomics Code - JVT حسب Carlo Vittorio Cannistraci (5854046)

"…At the beginning of the code, there is a help section that explains how to use it.…"

Visualization of algorithm detection results. حسب Xinpeng Yao (18882573)

"…On the KITTI dataset, our algorithm achieved 3D average detection accuracy (AP3D) of 81.15%, 62.02%, and 58.68% across three difficulty levels. …"

An overview of the organization of the study program. حسب Marialuisa Gandolfi (8639238)

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Overview of the development of the biomarkers in the motor, exteroceptive, interoceptive, and cerebral domains. حسب Marialuisa Gandolfi (8639238)

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The schedule of enrolment, interventions, and assessments. حسب Marialuisa Gandolfi (8639238)

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(A) Illustration of grouping and segmentation based on the global similarity structure when the number of elements is small. A, B, C, and D represent stimulus elements at different... حسب Yen-Ju Chen (354876)

Parameters of stimuli used in the study. حسب Elnaz Nemati (21402730)

"…<div><p>This study introduces a neurobiologically inspired computational model based on the predictive coding algorithm, providing insights into coherent motion detection processes. …"

The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

"…The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. Next, we examine the statistical effect of correlated prediction error and propose a method for Generalized Least Squares (GLS) on graphs. …"

Correlation matrices of handcrafted features before and after feature selection. The figure presents two heatmaps illustrating the correlation among 52 handcrafted features derived... حسب Quang Dung Dinh (20995766)

Experimental environment configuration. حسب Bei Huang (485021)

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Performance evaluation results of the ablation experiment. حسب Bei Huang (485021)

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Comparison between Ghiasi et al.’s 3D virtual scene aesthetic style expression and Hybrid Garden StyleNet. حسب Bei Huang (485021)

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Structure of the style prediction network. حسب Bei Huang (485021)

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Structure of the style transfer network. حسب Bei Huang (485021)

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Comparison of network training duration. حسب Bei Huang (485021)

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Comparison on different number of residual blocks. حسب Bei Huang (485021)

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Overall flow chart of the model. حسب Bei Huang (485021)

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Data Sheet 1_Fast forward modeling and response analysis of extra-deep azimuthal resistivity measurements in complex model.docx حسب Pan Zhang (206408)

"…Considering the increased detection range of EDARM and the requirements for computational efficiency, this paper presents a 2.5-dimensional (2.5D) finite element method (FEM). By leveraging the symmetry of simulated signals in the spectral domain, the algorithm reduces computation time by 50%, significantly enhancing computational efficiency while preserving accuracy. …"

Example gauge chart outputs produced by the M.E.D.V.I.S. algorithm. حسب Hector Torres (11708207)

Execution time comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset. حسب Liyan Sun (760586)

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