A Vision for Cleaner Rivers: Harnessing Snapshot Hyperspectral Imaging to Detect Macro-Plastic Litter

1 code implementation • 22 Jul 2023 • Nathaniel Hanson, Ahmet Demirkaya, Deniz Erdoğmuş, Aron Stubbins, Taşkın Padır, Tales Imbiriba

To address this problem, we analyze the feasibility of macro-plastic litter detection using computational imaging approaches in river-like scenarios.

JointNET: A Deep Model for Predicting Active Sacroiliitis from Sacroiliac Joint Radiography

no code implementations • 25 Jan 2023 • Sevcan Turk, Ahmet Demirkaya, M Yigit Turali, Cenk Hepdurgun, Salman UH Dar, Ahmet K Karabulut, Aynur Azizova, Mehmet Orman, Ipek Tamsel, Ustun Aydingoz, Mehmet Argin, Tolga Cukur

Results: JointNET differentiated active inflammation from radiographs with a mean AUROC of 89. 2 (95% CI:86. 8%, 91. 7%).

Specificity

Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering

no code implementations • 13 Apr 2022 • Tales Imbiriba, Ahmet Demirkaya, Jindřich Duník, Ondřej Straka, Deniz Erdoğmuş, Pau Closas

In this paper we present a hybrid neural network augmented physics-based modeling (APBM) framework for Bayesian nonlinear latent space estimation.

Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models

no code implementations • 12 Oct 2021 • Ahmet Demirkaya, Tales Imbiriba, Kyle Lockwood, Sumientra Rampersad, Elie Alhajjar, Giovanna Guidoboni, Zachary Danziger, Deniz Erdogmus

Results demonstrate that state dynamics corresponding to the missing ODEs can be approximated well using a neural network trained using a recursive Bayesian filtering approach in a fashion coupled with the known state dynamic differential equations.