As artificial intelligence (AI) continues to evolve, its potential role in online mental health therapy is gaining increasing interest. In this study, a quantitative 2x2 factorial experimental design is used to explore how AI transparency, theory of change (ToC), therapy style of advice, AI...

The chapter studies the use of AI-driven optimization to apply methods of sustainable manufacturing based on the scenario of eco-efficient production of advanced materials. It also shows how AI methods could be used, including machine learning and optimization algorithms, to increase the...

This paper investigates artificial intelligence applications for energy optimization in building systems. With buildings consuming approximately 40% of global energy, AI-driven solutions offer significant potential for sustainability improvements. We examine how machine learning algorithms,...

The global food supply chain faces increasing complexities due to inefficiencies, fraud, and payment delays. AI-driven payment solutions offer a transformative approach by integrating machine learning, blockchain, and smart contracts to enhance transaction transparency, security, and efficiency....

AI-driven pedagogy and assessment in Technical and Vocational Education and Training (TVET) are transforming traditional educational practices by introducing adaptive learning, immersive experiences, and intelligent tutoring systems. These technologies personalize learning paths, enhance student...

Background: The study aims to examine the role of artificial intelligence-oriented personalisation in customer interaction of social commerce platforms in the developing market, such as Kosovo. Objectives: A quantitative design was used, and 312 active users were sampled, with surveys offered to...

AI-driven personalization is revolutionizing green marketing by enhancing sustainable consumer engagement through smart technologies. By leveraging machine learning, big data analytics, and real-time personalization, brands can tailor eco-friendly messages, recommend sustainable products, and...

The revolutionary potential of AI-driven personalized learning to improve teacher effectiveness and student engagement is examined in this chapter. By customizing content to each learners unique learning needs and preferences AI technologies like intelligent tutoring platforms and adaptive...

Prediction technologies based on AI drive crucial automotive safety and financial risk assessment which results in minimizing losses as well as increasing road safety. A Hybrid AI-Econometrics Model which merges machine learning algorithms with econometric systems serves as the main proposal to...