There are many activity recognition systems based on supervised learning that have been proposed over the years. One problem with supervised learning is that it requires sufficient number of labelled data for training...
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Phishing is a cyberattack that exploits human psychology and technical vulnerabilities. Previous research has revealed inconsistency of relation between age and phishing susceptibility. Hence, this project aims to ide...
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The COVID-19 pandemic has forced the world into lockdown. The usual face-to-face course delivery is not a feasible option for higher education institutions worldwide. Most of the education activities were switched to ...
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E-commerce has become increasingly popular in recent years with increasingly many retailers even conducting business fully online. With the anonymity of the internet, an inability to inspect goods directly, the experi...
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Stunting is a condition where a child's height significantly falls below the average for their age, primarily due to prolonged malnutrition and inadequate nutrient intake. This condition poses long-term challenges...
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Recovering 3D human meshes from monocular images is an inherently ill-posed and challenging task due to depth ambiguity,joint occlusion,and ***,most existing approaches do not model such uncertainties,typically yieldi...
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Recovering 3D human meshes from monocular images is an inherently ill-posed and challenging task due to depth ambiguity,joint occlusion,and ***,most existing approaches do not model such uncertainties,typically yielding a single reconstruction for one *** contrast,the ambiguity of the reconstruction is embraced and the problem is considered as an inverse problem for which multiple feasible solutions *** address these issues,the authors propose a multi-hypothesis approach,multi-hypothesis human mesh recovery(MH-HMR),to efficiently model the multi-hypothesis representation and build strong relationships among the hypothetical ***,the task is decomposed into three stages:(1)generating a reasonable set of initial recovery results(i.e.,multiple hypotheses)given a single colour image;(2)modelling intra-hypothesis refinement to enhance every single-hypothesis feature;and(3)establishing inter-hypothesis communication and regressing the final human ***,the authors take further advantage of multiple hypotheses and the recovery process to achieve human mesh recovery from multiple uncalibrated *** with state-of-the-art methods,the MH-HMR approach achieves superior performance and recovers more accurate human meshes on challenging benchmark datasets,such as Human3.6M and 3DPW,while demonstrating the effectiveness across a variety of *** code will be publicly available at https://***/faculty/likun/projects/MH-HMR.
Phishing websites have often been used for online and email fraud, spreading unwanted content. It has been important to find them before any user data was entered. In recent years, numerous attempts have been made to ...
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The advancement of segregation of recycle waste classification applications has been increased by the development of innovative solutions which utilise modern technologies for effective waste management and recycling ...
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作者:
Baharom, NuridawatiShariff, S.Sarifah RadiahNasir, Noryanti
Perlis Branch School Of Computing And Mathematics College Of Computing Informatics And Mathematics Perlis Arau Malaysia
Selangor Shah Alam Malaysia
School Of Computing And Mathematics College Of Computing Informatics And Mathematics Selangor Shah Alam Malaysia
This study aims to assess the performance of the existing network of location decisions for refuelling stations in Peninsular Malaysia. Firstly, a questionnaire survey examining users' perceptions and awareness of...
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News recommendation schemes use features of the news and user information to suggest relevant news items based on their interests. However, existing schemes are not very effective for new users who have little activit...
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