Cloud detection is a critical preprocessing step in remote sensing image processing, as the presence of clouds significantly affects the accuracy of remote sensing data and limits its applicability ...

Towards implementing neural networks on edge IoT devices. ScienceDaily . Retrieved May 6, 2025 from www.sciencedaily.com / releases / 2024 / 10 / 241028131753.htm ...

Keywords: machine vision, image processing, clustering, classification, artificial neural network. Citation: Luo D, Luo R, Cheng J and Liu X (2024) Quality detection and grading of peach fruit based ...

The table includes neural-network parameters, input resolution, and the associated processing demands for four example models for informational and comparison purposes. These estimations don’t ...

Let’s take an example of a simple neural network where the model needs to detect an object from the images. Training such a model means finding the edge weight of the network such that it can be able ...

Automated object detection from visual images is important for many kinds of smart city applications, such as those involving camera-based monitoring or surveillance of areas within a city. Deep ...

Until recently, segmentation required large, compute-intensive neural networks. This made it difficult to run these deep learning models without a connection to cloud servers. In their latest work ...