Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

By Atharva Agrawal Growing up in the Tiger Capital of India, Nagpur, a city surrounded by some of the country’s most eminent ...

Abstract: Object detection in remote sensing images differs from general object detection in that it faces numerous challenges, such as false alarm interference. However, conventional object detection ...

In object detection tasks, the network must not only identify objects but also precisely delineate their boundaries, necessitating robust feature representation capabilities (He et al., 2019). SNNs ...

They look, move and even smell like the kind of furry Everglades marsh rabbit a Burmese python would love to eat. But these bunnies are robots meant to lure the giant invasive snakes out of their ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Maritime mobile edge computing (MMEC) technology facilitates the deployment of computationally intensive object detection tasks on Maritime Internet of Things (MIoT) devices with limited computing ...