Systems based on fog computing produce massive amounts of data; accordingly, an
increasing number of fog computing apps and services are emerging. In addition, machine …

Cloud computing, the most crucial computing and storage tool in IoT (Internet of Things), still
meets various challenges. The remoteness of IoT end devices from cloud platforms may …

Cloud computing with its key facets and its inherent advantages still faces several
challenges in the Internet of Things (IoT) ecosystem. The distance among the IoT end …

Distributed analytics facilitate to make the data-driven services smarter for a wider range of
applications in many domains, including agriculture. The key to producing services at such …

There has been an increase in the implementation of Artificial Intelligence (AI) in the dairy
industry for Milk Quality Analysis (MQA). However, traditional Machine Learning (ML) …

Ensuring the quality of milk is paramount for consumer health and industry standards. This
study introduces a comparative analysis of two machine learning approaches, the k-Nearest …

In the field of Smart City applications, the analysis of urban data to detect city hotspots, ie,
regions where urban events (such as pollution peaks, virus infections, traffic spikes, and …

The dairy industry is experiencing a surge in data from Edge devices, using spectroscopic
techniques for milk quality assessment. Milk spectral data can help understand the species …

Fog computing is a fundamental facilitating technology in the future of networks. It broadens
cloud computing services to its network edge, so that fog computing is able to bear the load …

Food safety and quality are paramount concerns worldwide, especially concerning
nutritional quality and its impact on human health. Ensuring the accuracy and efficiency of …