The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

The increase in precision agriculture has promoted the development of picking robot technology, and the visual recognition ...

Machine learning (ML) provides a promising pathway to overcome these challenges by enabling efficient data processing and complex pattern recognition. This systematic Review aims to address these gaps ...

Nowadays, the object detection techniques have been developed rapidly for different applications, ranging from remote sensing to autonomous vehicles. We demonstrate identification of object open angle ...

This project provides a comprehensive guide on object detection in cluttered environments using YOLOv8. It demonstrates how to identify and classify objects in both still images and video streams. The ...

Detecting objects remains one of computer vision and image understanding applications’ most fundamental and challenging aspects. Significant advances in object detection have been achieved through ...

Keywords: smart agriculture, object detection, computer vision, digital image processing, machine learning, few-shot learning Citation: Ragu N and Teo J (2023) Object detection and classification ...

This study also highlights the first use of a foreign body object detection algorithm using real in-human datasets, showing its ability to prevent accidental foreign body retention in a translational ...