Registered Data
Contents
- 1 [CT193]
- 1.1 [01888] UAV Tracking and Targeting using YOLO with Enhanced Prior
- 1.2 [01164] Infection spreading in tissue as a delayed reaction diffusion wave
- 1.3 [00485] Adaptive event-trigger based disturbance rejection technique for nonlinear systems
- 1.4 [02068] Variable selection aided by correlation networks
- 1.5 [01958] How can we make tumour predictions under mechanism uncertainty?
[CT193]
- Session Time & Room
- Classification
[01888] UAV Tracking and Targeting using YOLO with Enhanced Prior
- Session Time & Room : 5D (Aug.25, 15:30-17:10) @D515
- Type : Contributed Talk
- Abstract : Unmanned Aerial Vehicles defense becomes a hot topic due to the ongoing Ukraine-Russia War and China’s constant threats to Taiwan. Drones tracking and countermeasures inevitably play a crucial role in future warfare. Here, we propose a feature-enhanced Yolo network to improve the accuracy of detection and tracking for small moving objects. Multi-cores, multi-threads and field programming logic array combined with Kalman filtering are used to speed up our algorithm on edge devices such as cellphones.
- Classification : 93C10, 93E11, 68T45
- Format : Talk at Waseda University
- Author(s) :
- Pink-Kong Huang (National Yang-Ming Chiao-Tung University)
- Yu-Shi Chen (National Yang-Ming Chiao-Tung University)
- Cho-Han Wu (Via Technologies Inc.)
- Chin-Tien Wu (National Yang-Ming Chiao-Tung University)
[01164] Infection spreading in tissue as a delayed reaction diffusion wave
- Session Time & Room : 5D (Aug.25, 15:30-17:10) @D515
- Type : Contributed Talk
- Abstract : In this work, we have discussed the stationary solution of a delayed reaction diffusion system for the concentrations of uninfected cells, infected cells, and virus cells. We have also discussed the existence of waves for the corresponding monotone system and found the minimal wave speed of the system. We have observed that when the death rates of uninfected and infected cells were the same, the virus propagation gradually decreases, but when the death rates are different, the wave propagation initially increases and then decreases. It is also observed that as the time delay increases the initial oscillations also increases. Next, we convert the system into a single diffusion equation using a quasi-stationary approximation, study the existence of the wave, and find the analytical expression for the minimal wave speed. We have also performed comprehensive simulations to compare and validate the results for both cases.
- Classification : 93C10, 93C43, 35AXX
- Format : Talk at Waseda University
- Author(s) :
- Moitri Sen (National Institute of Technology Patna)
- Saddam Hussain (National Institute of Technology Patna)
- Vitaly Volpert (Institut Camille Jordan, UMR 5208 CNRS, University Lyon 1)
[00485] Adaptive event-trigger based disturbance rejection technique for nonlinear systems
- Session Time & Room : 5D (Aug.25, 15:30-17:10) @D515
- Type : Contributed Talk
- Abstract : In this work, the stabilization and disturbance rejection problem for a nonlinear system is discussed. In order to reduce the communication burden, adaptive event-triggered based control is proposed. Further, an improved equivalent-input disturbance estimate technique is incorporated to suppress the effects of external disturbances. A set of essential conditions are developed by applying Lyapunov stability theory to ensure the system is stable. Numerical examples with engineering significance are demonstrated to emphasize the effectiveness.
- Classification : 93CXX, 37MXX, 37N35, 34H05, 34H15
- Format : Online Talk on Zoom
- Author(s) :
- Asha Safana Mohamed (Anna University)
- Marshal Anthoni S (Anna University)
[02068] Variable selection aided by correlation networks
- Session Time & Room : 5D (Aug.25, 15:30-17:10) @D515
- Type : Contributed Talk
- Abstract : Variable selection is important because it can provide improved quality of results, faster times of computation and more explainable models. We present recent work in which we use data from over 100 000 cells to find a selection of morphokinetic variables guided by nonlinear correlation networks, able to capture behavioral landscapes of inflammation. Our mathematical modeling, based on logistic and decision tree models, allowed us to identify the most important variables for immune cell prediction.
- Classification : 92-08, 92-10, 92B05, 92B15, 92C42
- Format : Online Talk on Zoom
- Author(s) :
- David G Aragones (University of Castilla-La Mancha)
- Gabriel F Calvo (University of Castilla-La Mancha)
- Georgiana Crainiciuc (Spanish National Cardiovascular Research Center)
- Miguel Palomino-Segura (Spanish National Cardiovascular Research Center)
- Jon Sicilia (Spanish National Cardiovascular Research Center)
- Andres Hidalgo (Yale University)
[01958] How can we make tumour predictions under mechanism uncertainty?
- Session Time & Room : 5D (Aug.25, 15:30-17:10) @D515
- Type : Contributed Talk
- Abstract : The need of quantitative tumour growth and progression predictions is pivotal for designing individualized therapies. Medical data correspond to snapshots in time of the patient’s state and their collection relies on patient’s clinical presentation. Current standard of care faces the following challenges: (C1) data collection is sparse in time and (C2) we lack the knowledge of the underlying biological mechanisms. To solve them, I will present a methodology that combines mechanistic modelling and machine.
- Classification : 92-08
- Format : Talk at Waseda University
- Author(s) :
- Haralampos Hatzikirou (Khalifa University)