6 citations · 26 across the 9 of their papers we have counts for
9 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…
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…
KIRETT -- A wearable device to support rescue operations using artificial intelligence to improve first aid
Johannes Zenkert, Christian Weber, Mubaris Nadeem +6
This short paper presents first steps in the scientific part of the KIRETT project, which aims to improve first aid during rescue operations using a wearable device. The wearable i…
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…
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…
A Text Extraction-Based Smart Knowledge Graph Composition for Integrating Lessons Learned during the Microchip Design
H. Abu-Rasheed, C. Weber, J. Zenkert +3
The production of microchips is a complex and thus well documented process. Therefore, available textual data about the production can be overwhelming in terms of quantity. This af…
Knowledge Discovery from Social Media using Big Data provided Sentiment Analysis (SoMABiT)
Mahdi Bohlouli, Jens Dalter, Mareike Dornhöfer +2
In todays competitive business world, being aware of customer needs and market-oriented production is a key success factor for industries. To this aim, the use of efficient analyti…