We plan to address the problem of the tumor volume and contour detection from the CTimages as a semantic segmentation problem. In this project, first, we utilize deep semantic segmentation models such as UNet [1] and SegResnet for tumor volume segmen
The research methodology consists of a series of sequential steps to achieve the objectives. The key stages of the methodology include data collection, manual annotation, training of segmentation models, and development of a web-based system to host
Two-wheeled electric bikes are becoming increasingly popular due to their environmental friendly, energy efficiency, and low operating costs. The battery pack is the most costly equipment that accounts for about 40%-50% of electric bike cost Therefor
A CFPM with controlled inductor current can supply or absorb current during driving and during regenerative braking respectively in eBike applications. A CFPM connected in cascade configuration with eBike battery is presented
The proposed methodology involves the integration of multimodal sensing technologies, including GPS, accelerometers, gyroscopes, and cameras, into a mobile application platform. Machine/deep learning algorithms will be employed to analyze sensor data
Optimizing traffic flow by adjusting traffic lights at junctions is crucial for reducing queue length and minimizing vehicle delay time, thus improving traffic management. Action, environment conditions, reward patterns and state transitions forms th
Safety and improved drivability is always of high priority in Autonomous vehicles or bringing assisted technologies in AVs. It is highly challenging as it involves multiple considerations like driver’s drivability patterns, speed, direction of trav
The idea of the proposed work can be summarized in Figure 1. First, we need to collect data on how traffic flows in the real world. This data helps us understand how diverse agent types move and interact with each other. The drone image dataset may b
This project focuses on integrating and validating a System-on-Chip UMA board within a clinical pupillometry device used for precise pupil examination. It involves hardware–software interfacing, sensor calibration, communication protocol design, an
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