With the continuous intervention of AI tools in the education sector, new research is required
to evaluate the viability and feasibility of extant AI platforms to inform various pedagogical …

In recent years, there has been an interest increase in smart maintenance within the
ship** sector due to the benefits and opportunities associated with its implementation …

Neural networks have been proven particularly accurate in univariate time series forecasting
settings, requiring however a significant number of training samples to be effectively trained …

Floods, among the most destructive climate-induced natural disasters, necessitate effective
prediction models for early warning systems. The proposed Multi-Attention Encoder …

Recent advancements in machine learning and deep learning have significantly improved
the diagnosis, detection, prediction, and prognosis of depressive disorders. However, these …

Curbs--the edge of a raised sidewalk at the point where it meets a street--crucial in urban
environments where they help delineate safe pedestrian zones, from dangerous vehicular …

In recent years, with the constant demand for process automation, digital technologies have
shown promising results in building inspection, especially for using Artificial Intelligence (AI) …

Background: Chronic pain management presents significant challenges in clinical practice,
particularly in selecting pharmacological treatments that balance efficacy and safety …

Technological advances have made a major contribution to controlling plant diseases. One
method for resolving issues with plant disease identification is the use of deep learning for …

Currently, all groups can experience the development of artificial intelligence, this happens
because artificial intelligence has experienced very significant changes. Artificial …