From the 1 of 5 papers with an AI index.
8 citations
- Sohar UniversityOM2 papers
- Swinburne University of TechnologyAU2 papers
- Brunel University of LondonGB1 paper
- Free University of Bozen-BolzanoIT1 paper
- Georgia Institute of TechnologyUS1 paper
- Kasturba Medical College, ManipalIN1 paper
- Lund UniversitySE1 paper
- Manipal Academy of Higher EducationIN1 paper
- Universidad de LondresMX1 paper
- University of BirminghamGB1 paper
- University of Colorado BoulderUS1 paper
- University of LondonGB1 paper
5 papers
Seabird trajectories map onto a reduced optimal-control bound for dynamic soaring
Louis González, John P. Y. Arnould, Saad Bhamla
The paper derives a reduced optimal‑control bound for dynamic soaring and maps seabird flight trajectories onto this bound to compare their transport efficiency across species.
Benchmarking Deep Learning Models for Laryngeal Cancer Staging Using the LaryngealCT Dataset
Nivea Roy, Son Tran, Atul Sajjanhar +4
Laryngeal cancer imaging research lacks standardised public datasets to enable reproducible deep learning (DL) model development. We present LaryngealCT, a curated benchmark of 1,0…
Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis
Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani +6
Functional near-infrared spectroscopy (fNIRS) is employed as a non-invasive method to monitor functional brain activation by capturing changes in the concentrations of oxygenated h…
Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model
Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani +3
One debatable issue in traffic safety research is that cognitive load from sec-ondary tasks reduces primary task performance, such as driving. Although physiological signals have b…
Threshold Regression for Fixed-T Panel Data with Interactive Fixed Effects
Jan Ditzen, Yiannis Karavias, Joakim Westerlund
This paper develops a new toolbox for estimation and inference in panel data threshold regression models with interactive fixed effects and a fixed number of time periods, T. The t…