Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...

Abstract: Artificial intelligence (AI) predictions are widely used to address challenges in the heart health sector, such as providing clinical decision support. Early detection of valvular heart ...

Proper waste sorting is very important for keeping our neighbourhoods clean and saving resources for the future. When we mix ...

Abstract: The demand and usage of drones are increasing day by day, and with this increased popularity, new types of drones are coming into the market for various purposes. However, due to the ...

Overview: Seven carefully selected OpenCV books guide beginners from basics to advanced concepts, combining theory, coding ...

Spearheaded by the Digital Policy Office, the IT Innovation Lab in Secondary Schools programme and the Knowing More About IT ...

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...

Build practical Edge AI applications with Raspberry Pi, from basic concepts to object detection and robotics, using the AI HAT+ and Camera Module 3.

No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)–based models may be the solution ...