Model Evaluation for Domain Identification of Unknown Classes in Open-World Recognition: A Proposal

Autor: Alfarisy, Gusti Ahmad Fanshuri, Malik, Owais Ahmed, Hong, Ong Wee

Open-World Recognition (OWR) is an emerging field that makes a machine learning model competent in rejecting the unknowns, managing them, and incrementally adding novel samples to the base knowledge. However, this broad objective is not practical for

Externí odkaz: http://arxiv.org/abs/2312.05454

DSCOT: An NFT-Based Blockchain Architecture for the Authentication of IoT-Enabled Smart Devices in Smart Cities

Autor: Khalil, Usman, Malik, Owais Ahmed, Hong, Ong Wee, Uddin, Mueen

Smart city architecture brings all the underlying architectures, i.e., Internet of Things (IoT), Cyber-Physical Systems (CPSs), Internet of Cyber-Physical Things (IoCPT), and Internet of Everything (IoE), together to work as a system under its umbrel

Externí odkaz: http://arxiv.org/abs/2211.04803

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Hybrid Model with Margin-Based Real-Time Face Detection and Tracking

Autor: Rehman, Bacha, Hong, Ong Wee, Hong, Abby Tan Chee

Publikováno v: Rehman, B, Hong, O W & Hong, A T C 2017, Hybrid Model with Margin-Based Real-Time Face Detection and Tracking . in S Phon-Amnuaisuk, SP Ang & SY Lee (eds), Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2017 . vol. 10607, Lecture Notes in Computer Science, Springer, Cham, pp. 360-369 . https://doi.org/10.1007/978-3-319-69456-6_30

Face detection and tracking algorithms mainly suffer from low accuracy, slow processing speed, and poor robustness when meet with real-time setup. The problem becomes crucial in real-time situations such as in human robot interactions (HRI) or video

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______9451::81a693649604515c3766fb6f6186af77
https://pure.solent.ac.uk/en/publications/4ef3be10-a8d5-41c9-a4de-781e4dddcbf1