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, and algorithm performance for AI/ML. The thematic areas addressed are the future's new smart healthcare solutions and e-health processes, which includes activity recognition using sensors and IoT
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. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming
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, algorithms, and tools for human-centered intelligent realities, to lead the way for future immersive, user-aware, and smart interactive digital environments. The project is divided into five separate Research
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, 6G communication, and wireless sensor networks, as well as research and education in Life Science, health technology, smart electronic sensors, and medical systems. The Department of Electrical
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with European industry. The EISLAB division at Luleå University of Technology conducts research in electronic systems design, sensor systems, cyber-physical systems, the Internet of Things and machine learning
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. The EISLAB division at Luleå University of Technology conducts research in electronic systems design, sensor systems, cyber-physical systems, the Internet of Things and machine learning, and works on
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systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization
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causal inference, integration of heterogeneous data sources, uncertainty quantification Work with a wide range of data types, for example dietary records, biomarkers, omics data, registry data, and sensor
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The project is about developing and applying TENG-based self-powered sensors or TENG-based energy harvesting methods for tribological applications. A sensor that produces its own power has a large role to play
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of marine ecosystem monitoring across spatial and temporal scales. The project will include work with remote sensing, autonomous sensors, environmental monitoring technologies, data integration, and system