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. …"

Implementation of SKINNY-Hash function, including RECO. حسب Sonal Arvind Barge (20454967)

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Implementation of SKINNY Hash function, including DMRC. حسب Sonal Arvind Barge (20454967)

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Sponge construct of SKINNY-Hash. حسب Sonal Arvind Barge (20454967)

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Hybrid redundancy for SKINNY block cipher. حسب Sonal Arvind Barge (20454967)

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Tweakey updating schedule. حسب Sonal Arvind Barge (20454967)

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Hybrid redundancy. حسب Sonal Arvind Barge (20454967)

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Fault detection capability of RECO and DMRC. حسب Sonal Arvind Barge (20454967)

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One SKINNY encryption round. حسب Sonal Arvind Barge (20454967)

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Truth table for self-dual function. حسب Sonal Arvind Barge (20454967)

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Implementation of SKINNY Hash function, including DMR. حسب Sonal Arvind Barge (20454967)

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Hash function construct used in SKINNY-tk3-hash. حسب Sonal Arvind Barge (20454967)

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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)

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. …"