Our approach analyzes human activities using rule-based common sense reasoning over data streams. We utilize LARS (Logic-Based Framework for Analyzing Reasoning ...

2023/12/02 · Conference PaperPDF Available. Stream Reasoning approach on Human Behavior for Medication Risks Detection using LARS Framework. October 2023.

Abstract—Human activity detection and analysis is essential in many areas, including healthcare, smart settings, and surveillance.

Stream Reasoning approach on Human Behavior for Medication Risks Detection using LARS Framework. Conference Paper. Full-text available. Oct 2023.

This work uses the logic-based framework LARS for analytic reasoning over streams to describe the declarative semantics of such systems, and shows how this ...

Stream Reasoning approach on Human Behavior for Medication Risks Detection using LARS FrameworkAgti Nadia, Sabri Lyazid, Okba Kazar, Abdelghani Chibani.

Stream Reasoning approach on Human Behavior for Medication Risks Detection using LARS Framework · Agti NadiaSabri LyazidO. KazarA. Chibani. Medicine, Computer ...

This paper presents a framework to analyze the model behavior in summarization by comparing it to human summarization behavior using eye-gaze data. We ...

2024/02/15 · This systematic literature review comprehensively examines the application of Large Language Models (LLMs) in forecasting and anomaly detection.

2024/06/01 · They must also target the factors driving the recruitment of young people into the drug trade, who are at particular risk of synthetic drug use.