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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)
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- Contribution to journal › Article
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Mark
Development and validation of a machine learning-based model to predict isolated post-challenge hyperglycemia in middle-aged and elder adults : Analysis from a multicentric study
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- 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
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Mark
VIRTUAL PRESSURE SENSOR BASED ON ION CURRENT MEASUREMENTS USING ARTIFICIAL NEURAL NETWORKS
2024) ASME 2024 ICE Forward Conference, ICEF 2024(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2023
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Mark
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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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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Mark
A novel approach for brake emission estimation based on traffic microsimulation, vehicle system dynamics, and machine learning modeling
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- Contribution to journal › Article
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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
- 2022
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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
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