Deep learning based visual cognition has greatly improved the accuracy of defect detection,
reducing processing times and increasing product throughput across a variety of …

Precision agriculture (PA) is a farm management data-driven technology that enhances
production with efficient resource usage. Existing PA methods rely on data processing …

Abstract Tiny Machine Learning is rapidly evolving in edge computing and intelligent
Internet of Things (IoT) devices. This paper investigates model compression techniques with …

Increasing numbers of public and private locations now have surveillance cameras installed
to make those areas more secure. Even though many organizations still hire someone to …

The inclusion of technology in agriculture is highly relevant given the increasing global
demand for food and our growing population. This paper focuses on an application for the …

Tiny Machine Learning is undergoing rapid evolution in the context of edge computing and
intelligent Internet of Things (IoT) devices. This paper investigates the potential of model …

Deep learning is a subset of machine learning that uses artificial neural networks inspired by
human cognitive systems. Although this is a newly approach recently it became very popular …

Artificial Intelligence (AI) is a successful paradigm with application in many fields; however,
there can be some challenging scenarios like the deployment of AI models in remote …

Deep learning is a subset of machine learning that uses artificial neural networks inspired by
human cognitive systems. In many applications, deep learning becomes most successful …

In the face of evolving security challenges, the integration of Internet of Things (IoT) and
Artificial Intelligence (AI) technologies has become essential for modern building security …