Výsledky vyhledávání - "A. NoorShahida"

Akademický článek

Post-pandemic e-learning: a pre-protocol to assess the impact of mobile VR on learner motivation and engagement for VARK learning styles [version 2; peer review: 1 approved, 2 approved with reservations]

Autor: Khairi Shazwan Dollmat, Wan-Noorshahida Mohd-Isa, Shahida Raihan Manzoor

Publikováno v: F1000Research, Vol 10 (2022)

Background: The Covid-19 pandemic has resulted in an abrupt but accelerated shift to e-learning worldwide. Education in a post-pandemic world has to amalgamate the advantages of e-learning with important pedagogical goals associated with in-person te

Externí odkaz: https://doaj.org/article/d17ba77da918463993085e8c9683b8d6

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Akademický článek

A deep crowd density classification model for Hajj pilgrimage using fully convolutional neural network

Autor: Md Roman Bhuiyan, Junaidi Abdullah, Noramiza Hashim, Fahmid Al Farid, Mohammad Ahsanul Haque, Jia Uddin, Wan Noorshahida Mohd Isa, Mohd Nizam Husen, Norra Abdullah

Publikováno v: PeerJ Computer Science, Vol 8, p e895 (2022)

This research enhances crowd analysis by focusing on excessive crowd analysis and crowd density predictions for Hajj and Umrah pilgrimages. Crowd analysis usually analyzes the number of objects within an image or a frame in the videos and is regularl

Externí odkaz: https://doaj.org/article/60687c55136a4d7c959c99f3ba333259

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Akademický článek

Post-Processing for Shadow Detection in Drone-Acquired Images Using U-NET

Autor: Siti-Aisyah Zali, Shahbe Mat-Desa, Zarina Che-Embi, Wan-Noorshahida Mohd-Isa

Publikováno v: Future Internet, Vol 14, Iss 8, p 231 (2022)

Shadows in drone images commonly appear in various shapes, sizes, and brightness levels, as the images capture a wide view of scenery under many conditions, such as varied flying height and weather. This property of drone images leads to a major prob

Externí odkaz: https://doaj.org/article/b341f146eed14aa1a78077c617385a81

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Akademický článek

Deep Dilated Convolutional Neural Network for Crowd Density Image Classification with Dataset Augmentation for Hajj Pilgrimage

Autor: Roman Bhuiyan, Junaidi Abdullah, Noramiza Hashim, Fahmid Al Farid, Wan Noorshahida Mohd Isa, Jia Uddin, Norra Abdullah

Publikováno v: Sensors, Vol 22, Iss 14, p 5102 (2022)

Almost two million Muslim pilgrims from all around the globe visit Mecca each year to conduct Hajj. Each year, the number of pilgrims grows, creating worries about how to handle such large crowds and avoid unpleasant accidents or crowd congestion cat

Externí odkaz: https://doaj.org/article/b70f1b6856c84d6fb33bc3b884b8d514

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Akademický článek

Improved Eagle Strategy Algorithm for Dynamic Web Service Composition in the IoT: A Conceptual Approach

Autor: Venushini Rajendran, R Kanesaraj Ramasamy, Wan-Noorshahida Mohd-Isa

Publikováno v: Future Internet, Vol 14, Iss 2, p 56 (2022)

The Internet of Things (IoT) is now expanding and becoming more popular in most industries, which leads to vast growth in cloud computing. The architecture of IoT is integrated with cloud computing through web services. Recently, Dynamic Web Service

Externí odkaz: https://doaj.org/article/51bdf960fded44b9b880169c8cc70fe4

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