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Martin Längkvist
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Senior Lecturer
Research Interests
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About
Martin Längkvist is a Senior Lecturer at Örebro University in Sweden. His research areas encompass deep learning applications in environmental science, including automated estimation of urban green spaces from satellite imagery, and machine learning techniques for identifying mineral structures in X-ray CT data. He also explores computer classification methods for toxicogenomics and innovative strategies for classifying forest cover types.
Recent Grants
Grant: Close
Grounding of Actions, Relations and Objects using Perceptual Anchoring.
Open Date: 2017-01-01
Close Date: 2020-12-31
Grant: Close
Cognitive Olfaction: A new Paradigm for Artificial Odour Recognition
Open Date: 2011-01-01
Close Date: 2013-12-31
Articles (5)
Year:
2026
Year:
2024
Year:
2024
Year:
2023
Year:
2020
Collaborators (1)
Farrukh Javed
Assistant Professor
Örebro University School of Business: Handelshogskolan vid Orebro universitet
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