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2020
Mark Application of machine learning for hydropower plant silt data analysis
Kumar, Krishna ^LU and Saini, R. P. (2020) 2020 International Conference on Innovations in Clean Energy Technologies, ICET 2020 p.5575-5579
- Contribution to conference › Paper, not in proceeding
Mark Improving risk prediction in heart failure using machine learning
Adler, Eric D. ; Voors, Adriaan A. ; Klein, Liviu ; Macheret, Fima ; Braun, Oscar O. ^LU ; Urey, Marcus A. ; Zhu, Wenhong ; Sama, Iziah ; Tadel, Matevz and Campagnari, Claudio , et al. (2020) In European Journal of Heart Failure 22(1). p.139-147
- Contribution to journal › Article
Mark Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data
Abdi, Abdulhakim ^LU (2020) In GIScience and Remote Sensing 57(1). p.1-20
- Contribution to journal › Article
Mark Automatic discovery of resource-restricted Convolutional Neural Network topologies for myoelectric pattern recognition
Olsson, Alexander E. ^LU ; Björkman, Anders ^LU and Antfolk, Christian ^LU (2020) In Computers in Biology and Medicine 120.
- Contribution to journal › Article
2019
Mark Human–Robot Interaction Based on Motion and Force Control
Karlsson, Martin ^LU (2019) In PhD Theses
- Thesis › Doctoral thesis (monograph)
Mark High-level software requirements and iteration changes : a predictive model
Blincoe, Kelly ; Dehghan, Ali ; Salaou, Abdoul Djawadou ; Neal, Adam ; Linaker, Johan ^LU and Damian, Daniela (2019) In Empirical Software Engineering 24(3). p.1610-1648
- Contribution to journal › Article
Mark Skin Sensitization Testing-What's Next?
Grundström, Gunilla and Borrebaeck, Carl A.K. ^LU (2019) In International Journal of Molecular Sciences 20(3).
- Contribution to journal › Article
Mark A novel method for daylight harvesting optimization based on lighting simulation and data-driven optimal control
de Rubeis, Tullio ; Gentile, Niko ^LU ; Smarra, Francesco ; D'Innocenzo, Alessandro ; Ambrosini, Dario and Paoletti, Domenica (2019) 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019 In Building Simulation Conference Proceedings 2. p.1036-1043
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Surface Classification with Millimeter-Wave Radar Using Temporal Features and Machine Learning
Montgomery, David ; Holmen, Gustav ; Almers, Peter and Jakobsson, Andreas ^LU (2019) European Radar Conference
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Artificial neural networks improve and simplify intensive care mortality prognostication: a national cohort study of 217,289 first-time intensive care unit admissions
Holmgren, Gustav ^LU ; Andersson, Peder ^LU ; Jakobsson, Andreas ^LU and Frigyesi, Attila ^LU (2019) In Journal of Intensive Care 7.
- Contribution to journal › Article

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