m-OCKRA: An Efficient One-Class Classifier for Personal Risk Detection, Based on Weighted Selection of Attributes
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DOI: 10.1109/access.2020.2976947
Abstract: Personal risk detection refers to the timely recognition of situations that may jeopardise a person’s physical integrity, for example, during a fall or an accident. During this process, information obtained by monitoring vital signs and… read more here.
Keywords: one class; risk detection; personal risk; risk ... See more keywords
Bushfire Risk Detection Using Internet of Things: An Application Scenario
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DOI: 10.1109/jiot.2021.3110256
Abstract: With rising temperatures and events contributing climate change, the world is facing extreme weather patterns. Recently, Australia was hit hard by bushfires, the most devastating fires ever faced by the country. The economic damage reported… read more here.
Keywords: risk detection; detection; bushfire risk; internet things ... See more keywords
Getting Meta: A Multimodal Approach for Detecting Unsafe Conversations within Instagram Direct Messages of Youth
Sign Up to like & getrecommendations! Published in 2023 at "Proceedings of the ACM on Human-Computer Interaction"
DOI: 10.1145/3579608
Abstract: Instagram, one of the most popular social media platforms among youth, has recently come under scrutiny for potentially being harmful to the safety and well-being of our younger generations. Automated approaches for risk detection may… read more here.
Keywords: end end; risk detection; risk; end ... See more keywords