In today's rapidly evolving technology and information age, every sector experiences constant workforce changes. In the Information Technologies (IT) sector, in particular, dynamic and rapidly changing working conditions lead to increased employee turnover

n the era of technologic advancement and artificial intelligence, a large amount of data is available. These data contain information, such as association rules, useful for decision-making.

Due to the inconsistency in the dimensions and properties of the target features and scene features extracted by the ObjectNet, as well as the presence of redundant information that affects scene judgment, resulting in low recognition accuracy, a new indoor scene recognition method is proposed.

Mesenchymal stromal cells (MSCs) have recently risen to prominence in regenerative medicine for their powerful intrinsic properties of self-regeneration, immunomodulation, and multi-potency.

Artificial intelligence and machine learning show promise for next-generation financial fraud monitoring as digital transactions rise.

The immersive three-dimensional (3D) virtual reality (VR) visualization of groundwater models allows us to deepen our understanding of aquifer systems and provide better solutions to present groundwater-related problems, such as groundwater recharge, water quality, and sustainability

This paper analyzes case studies and best practices of successful companies across different sectors, and, therefore, readers will discover how monitoring strategies work.

At first the corresponding continuous predator-prey system is simplified to obtain a new discrete system by using semidiscretiza- tion method.