Numerous advancements in artificial intelligence drive better accuracy and improved performance of disaster prediction as well as early warning systems for hazards. This review collects and integrates contemporary findings ...

Artificial intelligence (AI) has been pivotal in advancing urban mobility and smart city planning. It offers innovative solutions to address emerging challenges in urban areas. With the global metropolitan population ...

The electricity supply of the country has greatly impacted the economy and the nation’s standard of living; an accurate forecast of electricity demand is essential for any country to enhance industrialization, farming, ...

Now the world is fully moving towards a digitalized environment in all kinds of disciplines in education, agriculture, the banking industry, transportation, healthcare, etc., with the most prominent and trending topics. ...

As supply chain networks grow increasingly complex, achieving optimal logistics has become essential for industries to remain competitive and adapt to dynamic demands. Traditional route optimization methods often fail ...

Effective techniques for automatically classifying texts are becoming increasingly necessary due to the exponential expansion of digital material. Differentiating between formal and informal documents can help students identify ...

Fashion image captioning, an evolving field in AI and computer vision, generates descriptive captions for fashion images. This paper addresses the prevalent bias in existing studies, which focus predominantly on Western ...

This paper provides a comprehensive overview of contemporary research in face detection, facial feature detection, and face recognition, categorizing methodologies into four primary types: knowledge-based, template matching, ...

An electrocardiogram (ECG/EKG) is a vital methodology that is used for the diagnosis and monitoring of heart diseases by recording the electrical activity of the heart. However, manual analysis of ECGs shows limitations ...

3D reconstruction of real physical environments can be a challenging task, often requiring depth cameras such as LIDAR or RGB-D to capture the necessary depth information. However, this method is resource-intensive ...