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- 2024
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Mark
Retrospective validation study of an artificial neural network-based preoperative decision-support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN14341750)
(
- Contribution to journal › Article
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Mark
Bee-inspired insights : Unleashing the potential of artificial bee colony optimized hybrid neural networks for enhanced groundwater level time series prediction
(
- Contribution to journal › Article
- 2023
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Mark
Neural Network Based Algorithm to Estimate the Axial Capacity of Corroded RC Columns
2023) 5th International Conference on Information Systems and Management Science, ISMS 2022 In Lecture Notes in Networks and Systems 671 LNNS. p.219-230(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
A novel approach for brake emission estimation based on traffic microsimulation, vehicle system dynamics, and machine learning modeling
(
- Contribution to journal › Article
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Mark
A machine learning model for prediction of 30-day primary graft failure after heart transplantation
(
- Contribution to journal › Article
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Mark
Modeling Various Drought Time Scales via a Merged Artificial Neural Network with a Firefly Algorithm
(
- Contribution to journal › Article
- 2022
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Mark
The NILS Study Protocol : A Retrospective Validation Study of an Artificial Neural Network Based Preoperative Decision-Making Tool for Noninvasive Lymph Node Staging in Women with Primary Breast Cancer (ISRCTN14341750)
(
- Contribution to journal › Article
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Mark
Enhancing Sustainability of Corroded RC Structures : Estimating Steel-to-Concrete Bond Strength with ANN and SVM Algorithms
(
- Contribution to journal › Article
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Mark
Event-Specific Transmission Forecasting of SARS-CoV-2 in a Mixed-Mode Ventilated Office Room Using an ANN
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- Contribution to journal › Article
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Mark
Multi-fidelity regression using artificial neural networks : Efficient approximation of parameter-dependent output quantities
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- Contribution to journal › Article
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Mark
The implementation of a noninvasive lymph node staging (NILS) preoperative prediction model is cost effective in primary breast cancer
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- Contribution to journal › Article
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Mark
Application of artificial neural network to forecast engine performance and emissions of a spark ignition engine
(
- Contribution to journal › Article
- 2021
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Mark
ICU prognostication: Time to re-evaluate? Register-based studies on improving prognostication for patients admitted to the intensive care unit (ICU)
2021) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
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Mark
Predictive modeling and severity scoring after cardiac arrest in patients treated with targeted temperature management
2021) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
- 2020
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Mark
Integration of machine learning with phase field method to model the electromigration induced Cu6Sn5 IMC growth at anode side Cu/Sn interface
(
- Contribution to journal › Article
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Mark
On neural network modeling to maximize the power output of PEMFCs
(
- Contribution to journal › Article
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Mark
Contactless real-time heartbeat detection via 24 ghz continuous-wave doppler radar using artificial neural networks
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- Contribution to journal › Article
- 2018
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Mark
Predictors of Lymph Node Metastasis in Primary Breast Cancer - Risk Models for Tailored Axillary Management
2018)(
- Thesis › Doctoral thesis (compilation)
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Mark
Passive design optimization of newly-built residential buildings in Shanghai for improving indoor thermal comfort while reducing building energy demand
(
- Contribution to journal › Article
- 2017
-
Mark
Prehospital Diagnosis and Oxygen Treatment in ST Elevation Myocardial Infarction
2017) In Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)