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Announcing TU Delft Repository replacement
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2 July 2024
TU Delft Repository will be replaced with a fresh user friendly design with monthly new feature releases.
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Unsupervised approach towards analysing the public transport bunching swings formation phenomenon
Automatic high-resolution microseismic event detection via supervised machine learning
Predictive and generative machine learning models for photonic crystals
De (On)mogelijkheden van machine learning voor het verminderen van bias en discriminatie bij personeelsbeslissingen
Pricing Options and Computing Implied Volatilities using Neural Networks
Learning about risk: Machine learning for risk assessment
Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
Enlarged perivascular spaces in brain MRI: Automated quantification in four regions
A selective muscle fatigue management approach to ergonomic human-robot co-manipulation
Bone texture analysis for prediction of incident radiographic hip osteoarthritis using machine learning: data from the Cohort Hip and Cohort Knee (CHECK) study
Comparing thresholding with machine learning classifiers for mapping complex water
A neural network-based framework for financial model calibration
A Systematic Evaluation of Profiling Through Focused Feature Selection
Physical metallurgy-guided machine learning and artificial intelligent design of ultrahigh-strength stainless steel
Accelerating multiscale finite element simulations of history-dependent materials using a recurrent neural network
Using Gaussian mixture models for gesture recognition during haptically guided telemanipulation
Make Some Noise: Unleashing the Power of Convolutional Neural Networks for Profiled Side-channel Analysis
Automatic Processing of User-Generated Content for the Description of Energy-Consuming Activities at Individual and Group Level
Discovery of Algebraic Reynolds-Stress Models Using Sparse Symbolic Regression
Automatic classification of fine-grained soils using CPT measurements and Artificial Neural Networks
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