Ola Björnsson (Former)

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2025
Mark Enhancing Knock Detection and Combustion Diagnostics : A Machine Learning Approach with Ion Current Sensors
Björnsson, Ola ^LU (2025)
- Thesis › Doctoral thesis (compilation)
2024
Mark Predicting intensive care need in women with preeclampsia using machine learning–a pilot study
Edvinsson, Camilla ^LU ; Björnsson, Ola ^LU ; Erlandsson, Lena ^LU and Hansson, Stefan R. ^LU (2024) In Hypertension in Pregnancy 43(1).
- Contribution to journal › Article
Mark Spark Ignition - Searching for the Optimal Spark Profile
Ängeby, Jakob ; Saha, Anupam ^LU ; Lundgren, Marcus ^LU and Björnsson, Ola ^LU (2024) 9th International Engine Congress p.397-414
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Knock Detection with Ion Current and Vibration Sensor : A Comparative Study of Logistic Regression and Neural Networks
Björnsson, Ola ^LU and Tunestål, Per ^LU (2024) In Energies 17(22).
- Contribution to journal › Article
Mark Direct MUSA features of adenomyosis impact live birth rates after first in vitro fertilization / intracytoplasmic sperm injection treatment
Alson, Sara ^LU ; Björnsson, Ola ^LU ; Hansson, Stefan ^LU ; Henic, Emir ^LU and Sladkevicius, Povilas ^LU (2024) ISUOG 34th World Congress on Ultrasound in Obstetrics and Gynecology - Budapest In Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology 64(S1). p.29-29
- Contribution to journal › Published meeting abstract
Mark Indirect MUSA features of adenomyosis are associated with reduced chances of live birth after first in vitro fertilization treatment
Alson, Sara ^LU ; Björnsson, Ola ^LU ; Hansson, Stefan ^LU ; Henic, Emir ^LU and Sladkevicius, Povilas ^LU (2024) ISUOG 34th World Congress on Ultrasound in Obstetrics and Gynecology - Budapest In Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology 64(S1). p.30-30
- Contribution to journal › Published meeting abstract
Mark The predictive value of MUSA features of adenomyosis on live birth is poor, using a machine learning algorithm
Alson, Sara ^LU ; Björnsson, Ola ^LU ; Hansson, Stefan ^LU ; Henic, Emir ^LU and Sladkevicius, Povilas ^LU (2024) ISUOG 34th World Congress on Ultrasound in Obstetrics and Gynecology - Budapest In Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology 64(S1). p.88-89
- Contribution to journal › Published meeting abstract
Mark VIRTUAL PRESSURE SENSOR BASED ON ION CURRENT MEASUREMENTS USING ARTIFICIAL NEURAL NETWORKS
Björnsson, Ola ^LU and Tunestål, Per ^LU (2024) ASME 2024 ICE Forward Conference, ICEF 2024
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Ion Current-Based Knock Detection using Convolutional Neural Networks
Björnsson, Ola ^LU and Tunestål, Per ^LU (2024) 7th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, E-COSM 2024 58. p.261-266
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Evaluation of closed-loop combustion phase optimization for varying fuel compensation and cylinder balancing in a HD SI-ICE
Björnsson, Ola ^LU and Tunestal, Per ^LU (2024) 2024 SAE World Congress Experience, WCX 2024 In SAE Technical Papers
- Contribution to journal › Article

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