This paper explores data-driven marketing, its benefits, and challenges to provide insights
and a framework for business leaders and marketers to leverage in their marketing efforts …

The purpose of this research was to identify trending topics, emerging themes, and future
research areas in flexible manufacturing in the digital era. It includes a synthesis of 51 …

Purpose Successful digital transformation requires a change in organisational structures,
processes, capabilities and competencies. Digital transformation research is more …

Deep face recognition (FR) has achieved significantly high accuracy on several challenging
datasets and fosters successful real-world applications, even showing high robustness to …

This paper intends to better understand the pre-exercise of modeling for direct marketing
response prediction and assess the predictive performance of machine learning. For this …

Purpose The aim of this study is to investigate technological and innovation orientation
contribution to the development and sustainability of the industrial sector …

Equipped with sophisticated, AI-based driver assistance systems, passenger cars are
becoming increasingly intelligent. It seems that in a matter of a few years, fully autonomous …

In recent years, computer vision and machine learning have seen a surge in research on
Facial Emotion Recognition (FER). The significance of accurately recognizing and …

Multimodal sentiment analysis (MSA) provides a novel way to understand human
sentiments. However, the differences between distribution patterns across modalities bring …

This research aims to thoroughly understand the delicate interplay between stakeholders'
perspectives, biometric data protection policies, and the deployment of face recognition …