52 citations · 143 across the 14 of their papers we have counts for
14 papers
Smart UX-design for Rescue Operations Wearable - A Knowledge Graph Informed Visualization Approach for Information Retrieval in Emergency Situations
Mubaris Nadeem, Johannes Zenkert, Christian Weber +2
This paper presents a knowledge graph-informed smart UX-design approach for supporting information retrieval for a wearable, providing treatment recommendations during emergency si…
Evaluation of Real-Time Preprocessing Methods in AI-Based ECG Signal Analysis
Jasmin Freudenberg, Kai Hahn, Christian Weber +1
The increasing popularity of portable ECG systems and the growing demand for privacy-compliant, energy-efficient real-time analysis require new approaches to signal processing at t…
Comparing Knowledge Source Integration Methods for Optimizing Healthcare Knowledge Fusion in Rescue Operation
Mubaris Nadeem, Madjid Fathi
In the field of medicine and healthcare, the utilization of medical expertise, based on medical knowledge combined with patients' health information is a life-critical challenge fo…
Quantitative Evaluation of KIRETT Wearable Demonstrator for Rescue Operations
Mubaris Nadeem, Johannes Zenkert, Lisa Bender +2
Healthcare and Medicine are under constant pressure to provide patient-driven medical expertise to ensure a fast and accurate treatment of the patient. In such scenarios, the diagn…
KIRETT: Smart Integration of Vital Signs Data for Intelligent Decision Support in Rescue Scenarios
Mubaris Nadeem, Johannes Zenkert, Christian Weber +2
The integration of vital signs in healthcare has witnessed a steady rise, promising health professionals to assist in their daily tasks to improve patient treatment. In life-threat…
Rescue Operators' Perspectives on KIRETT Wearable Technology: A Qualitative Study
Mubaris Nadeem, Johannes Zenkert, Lisa Bender +2
In emergencies, treatment needs to be fast, accu-rate and patient-specific. For instance, in emergency scenarios, obstacles like treatment environments and medical difficulties can…
KIRETT: Knowledge-Graph-Based Smart Treatment Assistant for Intelligent Rescue Operations
Mubaris Nadeem, Johannes Zenkert, Lisa Bender +2
Over the years, the need for rescue operations throughout the world has increased rapidly. Demographic changes and the resulting risk of injury or health disorders form the basis f…
LLM-Assisted Knowledge Graph Completion for Curriculum and Domain Modelling in Personalized Higher Education Recommendations
Hasan Abu-Rasheed, Constance Jumbo, Rashed Al Amin +4
While learning personalization offers great potential for learners, modern practices in higher education require a deeper consideration of domain models and learning contexts, to d…
Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations
Hasan Abu-Rasheed, Christian Weber, Madjid Fathi
In the era of personalized education, the provision of comprehensible explanations for learning recommendations is of a great value to enhance the learner's understanding and engag…
Experimental Interface for Multimodal and Large Language Model Based Explanations of Educational Recommender Systems
Hasan Abu-Rasheed, Christian Weber, Madjid Fathi
In the age of artificial intelligence (AI), providing learners with suitable and sufficient explanations of AI-based recommendation algorithm's output becomes essential to enable t…
Building Contextual Knowledge Graphs for Personalized Learning Recommendations using Text Mining and Semantic Graph Completion
Hasan Abu-Rasheed, Mareike Dornhöfer, Christian Weber +3
Modelling learning objects (LO) within their context enables the learner to advance from a basic, remembering-level, learning objective to a higher-order one, i.e., a level with an…
Supporting Student Decisions on Learning Recommendations: An LLM-Based Chatbot with Knowledge Graph Contextualization for Conversational Explainability and Mentoring
Hasan Abu-Rasheed, Mohamad Hussam Abdulsalam, Christian Weber +1
Student commitment towards a learning recommendation is not separable from their understanding of the reasons it was recommended to them; and their ability to modify it based on th…
Context based learning: a survey of contextual indicators for personalized and adaptive learning recommendations. A pedagogical and technical perspective
Hasan Abu-Rasheed, Christian Weber, Madjid Fathi
Learning personalization has proven its effectiveness in enhancing learner performance. Therefore, modern digital learning platforms have been increasingly depending on recommendat…
Explainable Graph-based Search for Lessons-Learned Documents in the Semiconductor Industry
Hasan Abu-Rasheed, Christian Weber, Johannes Zenkert +2
Industrial processes produce a considerable volume of data and thus information. Whether it is structured sensory data or semi- to unstructured textual data, the knowledge that can…