1 – 10 of 34
- show: 10
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=" "
width=" "
height=" "
allowtransparency="true"
frameborder="0">
</iframe>
- 2023
-
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
- 2022
-
Mark
Application of artificial neural network to forecast engine performance and emissions of a spark ignition engine
(
- Contribution to journal › Article
-
Mark
The implementation of a noninvasive lymph node staging (NILS) preoperative prediction model is cost effective in primary breast cancer
(
- Contribution to journal › Article
-
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
-
Mark
Enhancing Sustainability of Corroded RC Structures : Estimating Steel-to-Concrete Bond Strength with ANN and SVM Algorithms
(
- Contribution to journal › Article
-
Mark
Event-Specific Transmission Forecasting of SARS-CoV-2 in a Mixed-Mode Ventilated Office Room Using an ANN
(
- Contribution to journal › Article
-
Mark
Multi-fidelity regression using artificial neural networks : Efficient approximation of parameter-dependent output quantities
(
- Contribution to journal › Article
- 2021
-
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)
-
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)
- 2020
-
Mark
On neural network modeling to maximize the power output of PEMFCs
(
- Contribution to journal › Article