Ilyas Ustun
Ilyas Ustun
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Lipid profiling of Alzheimer’s disease brain highlights enrichment in glycerol (phospho) lipid, and sphingolipid metabolism
S Akyol, Z Ugur, A Yilmaz, I Ustun, SKK Gorti, K Oh, B McGuinness, ...
Cells 10 (10), 2591, 2021
Targeted metabolomics highlights perturbed metabolism in the brain of autism spectrum disorder sufferers
SF Graham, O Turkoglu, A Yilmaz, I Ustun, Z Ugur, T Bjorndhal, BS Han, ...
Metabolomics 16, 1-15, 2020
A community-based study identifying metabolic biomarkers of mild cognitive impairment and Alzheimer’s disease using artificial intelligence and machine learning
A Yilmaz, I Ustun, Z Ugur, S Akyol, WT Hu, MS Fiandaca, M Mapstone, ...
Journal of Alzheimer's Disease 78 (4), 1381-1392, 2020
Key factors affecting the accuracy of reidentification of trucks over long distances based on axle measurement data
M Cetin, CM Monsere, AP Nichols, I Ustun
Transportation research record 2243 (1), 1-8, 2011
Urine metabolomic biomarkers for prediction of isolated fetal congenital heart defect
P Friedman, A Yilmaz, Z Ugur, F Jafar, A Whitten, I Ustun, O Turkoglu, ...
The Journal of Maternal-Fetal & Neonatal Medicine 35 (25), 6380-6387, 2022
Metabolic profiling of CSF from people suffering from sporadic and LRRK2 Parkinson’s disease: a pilot study
A Yilmaz, Z Ugur, I Ustun, S Akyol, RO Bahado-Singh, M Maddens, ...
Cells 9 (11), 2394, 2020
Speed estimation using smartphone accelerometer data
I Ustun, M Cetin
Transportation research record 2673 (3), 65-73, 2019
Detecting vehicle stops from smartphone accelerometer data
I Ustin, A Alasaadi, M Cetin, T Nadeem
The 21st World Congress on Intellegent Transportation Systems, ITSWC2014. ITSWC, 2014
Evaluation of interstate work zone mobility using probe vehicle data and machine learning techniques
M Kamyab, S Remias, E Najmi, K Hood, M Al-Akshar, I Ustun
Transportation research record 2673 (2), 811-822, 2019
Istanbul strait marine traffic simulation using multiple serially connected machinery concept
F Camci, F Eldemir, O Uysal, I Ustun
Proceedings of the 2009 Summer Computer Simulation Conference, 424-429, 2009
Determining damage initiation of carbon fiber reinforced polymer composites using machine learning
A Post, S Lin, AM Waas, I Ustun
Polymer Composites 44 (2), 932-953, 2023
Lipid Profiling of Alzheimer’s Disease Brain Highlights Enrichment in Glycerol (Phospho) Lipid, and Sphingolipid Metabolism., 2021, 10, 2591
S Akyol, Z Ugur, A Yilmaz, I Ustun, SKK Gorti, K Oh, B McGuinness, ...
DOI: https://doi. org/10.3390/cells10102591, 2021
Urinary cytokines as potential biomarkers of mild cognitive impairment and Alzheimer’s disease: A pilot study
N Saiyed, A Yilmaz, S Vishweswariah, AK Maiti, I Ustun, S Bartolone, ...
Journal of Alzheimer's disease reports, 1-9, 2023
Exploratory methods for truck re-identification in a statewide network based on axle weight and axle spacing data to enhance freight metrics: phase II.
M Cetin, CM Monsere
Oregon Transportation Research and Education Consortium, 2012
Association of metabolomic biomarkers with sleeve gastrectomy weight loss outcomes
WM Miller, KM Ziegler, A Yilmaz, N Saiyed, I Ustun, S Akyol, J Idler, ...
Metabolites 13 (4), 506, 2023
Data-driven damage initiation criteria for carbon fiber reinforced polymer composites
A Post, S Lin, I Ustun, AM Waas
AIAA SCITECH 2022 Forum, 0104, 2022
Detecting empty and loaded platform semi-trailers using side-fire LiDAR data for supporting freight analysis
O Sahin, M Cetin, I Ustun
Case Studies on Transport Policy 9 (3), 1035-1041, 2021
Robust algorithms for estimating vehicle movement from motion sensors within smartphones
I Ustun
Old Dominion University, 2016
Classification Algorithms for Detecting Vehicle Stops from Smartphone Accelerometer Data
M Cetin, I Ustun, O Sahin
Transportation Research Board, Washington DC 2, 3, 2016
Combining Different Data Sources to Predict Origin-Destinations and Flow Patterns for Trucks in Large Networks
M Cetin, O Sahin, I Ustun
Office of the Assistant Secretary for Research and Technology, National …, 2015
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