One of the most promising research initiatives in the healthcare field is focused on the rising
incidence of skin cancer worldwide and improving early discovery methods for the disease …

Researchers have increasingly focused on applying machine learning algorithms to
enhance healthcare operations in the past few years. Machine learning has become …

In the digital age, businesses collect vast amounts of data, but often lack the knowledge and
tools to fully utilize it. This paper analyzes current information management practices across …

Green AI (Artificial Intelligence) and digitalization facilitate the “Dual-Carbon” goal of low-
carbon, high-quality economic development. Green AI is moving from “cloud” to “edge” …

Medical cyber–physical systems (MCPS) firmly integrate a network of medical objects.
These systems are highly efficacious and have been progressively used in the Healthcare …

Habanero plant diseases can significantly reduce crop yield and quality, making early
detection and treatment crucial for farmers. In this study, we discuss the creation of a …

Pulmonary diseases are various pathological conditions that affect respiratory tissues and
organs, making the exchange of gas challenging for animals inhaling and exhaling. It varies …

The success of the IoT applications in the field of Information Technologies has led to its
spread to different areas of use. In this study, the performance management of …

Purpose This paper aims to highlight the importance of open data and the role that
knowledge management and open innovation can play in its identification and use. Open …

Abstract Machine Learning (ML) is transforming agriculture, especially precision agriculture.
This research shows how ML improves IOT-based agriculture precision AI system …