Deep neural networks (DNNs) are extensively being used in multiple fields ranging from object classification and medical image analysis to self-driving cars. Vulnerability of such networks to the adversarial perturbations ...

Recently, DC microgrids (DC-MGs) have gained an immense popularity due to their unique characteristics such as structural simplicity and implementation, high efficiency, high power quality, and their capability of ...

Recent development in Machine Learning (ML) is giving rebirth to the future of intelligent systems enabling multiple domain applications, but backdoor attacks represent a serious threat to the integrity of Artificial ...

Mapping and localization using laser scanner are available in ROS. We intend to use these tools to build map of the environment and then use it for robot path planning in future. The experiments will be done on real time ...

Recent advances in object detection focus on finding configurations and different training criteria to achieve better mean Average Precision (mAP) or F1-score on various datasets. Among the datasets considered for object ...

Radar Systems continuously emits electromagnetic pulses to illuminate object of interests in the environment and receive back-scattered signal. These back-scattered signals called echoes are collected by the Radar receiver ...

Hydrogen cars are important application of clean energy generation and storage system. Fuel cell hybrid electric vehicles (FHEVs) are the best alternatives of conventional vehicles now a days. Concept of hybrid electric ...

Fruit ies pose a signi cant threat to fruit industry. Fruit infestation has e ected the quality and quantity of our fruit export, reasulting in fruit ban and economical losses. Traditional methods used to guard against ...

Cameras have been extensively used for partial and fully autonomous vehicle (AV) implementation meanwhile radars are still in the early stages of practical implementation in the AV industry. Cameras struggle to provide ...