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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
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- Contribution to journal › Article
- 2023
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Modeling Various Drought Time Scales via a Merged Artificial Neural Network with a Firefly Algorithm
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- Contribution to journal › Article
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A machine learning model for prediction of 30-day primary graft failure after heart transplantation
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- Contribution to journal › Article
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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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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
- 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
Application of artificial neural network to forecast engine performance and emissions of a spark ignition engine
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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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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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Enhancing Sustainability of Corroded RC Structures : Estimating Steel-to-Concrete Bond Strength with ANN and SVM Algorithms
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- 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
(
- 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
On neural network modeling to maximize the power output of PEMFCs
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- 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
(
- Contribution to journal › Article
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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
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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
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Mark
Prehospital Diagnosis and Oxygen Treatment in ST Elevation Myocardial Infarction
2017) In Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
- 2013
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Mark
Semen Parameters Can Be Predicted from Environmental Factors and Lifestyle Using Artificial Intelligence Methods
(
- Contribution to journal › Article
- 2012
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Mark
Developing a module for estimating climate warming effects on hydropower pricing in California
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- Contribution to journal › Article
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Mark
Predicting seminal quality with artificial intelligence methods
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- Contribution to journal › Article
- 2011
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Mark
Evolution of Prey Polymorphism Induced by Learning Predators
(
- Contribution to journal › Article
- 2010
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Mark
Application of artificial neural networks to the condition monitoring and diagnosis of a combined heat and power plant
2010) 21st International Conference on Efficiency, Cost, Optimization , Simulation and Environmental Impact of Energy Systems 35(2). p.1114-1120(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2008
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Mark
Components of uncertainty in species distribution analysis: a case study of the Great Grey Shrike
(
- Contribution to journal › Article
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Mark
Condition based maintenance of gas turbines using simulation data and artificial neural network: A demonstration of feasibility
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Application of artificial neural network to the condition monitoring and diagnosis of a CHP plant
2008) ECOS 2008. 21st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems p.981-988(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Improving diagnosis of acute coronary syndromes in an emergency setting: A machine learning approach
2008)(
- Thesis › Doctoral thesis (compilation)
- 2007
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Mark
Evaluation of artificial neural network techniques for river flow forecasting
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2004
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Mark
On Contact Mechanisms and Mechanical Transmission Performance
2004)(
- Thesis › Doctoral thesis (compilation)
- 2002
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Mark
Artificial neural network simulator for SOFC performance prediction
(
- Contribution to journal › Article
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Mark
R-wave detection for pacemakers using a matched filter based on an artificial neural network
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Rainfall estimation in the Chikugo River Basin by Atmospheric downscaling using artificial networks
(
- Contribution to journal › Article