This chapter provides a comprehensive overview of the integration of artificial intelligence (AI) and related technologies in the manufacturing sector, detonating Smart Manufacturing. It discusses the pivotal role of AI in enhancing operational efficiency, optimizing production processes, and improving product quality through data-driven decision-making, including the IoT and Big Data integration. All these technologies are applied in. predictive maintenance, quality control, and supply chain optimization, showcasing real-world case studies and examples. Additionally, it addresses the challenges and opportunities associated with implementing and the interaction of. AI, IoT, Industry 4.0, and Big data in manufacturing, emphasizing the importance of fostering a culture of innovation and continuous improvement. The findings underscore the transformative potential of AI in driving the evolution of smart manufacturing, ultimately contributing to increased competitiveness in a rapidly changing global economy.

The evolution of online education has undergone substantial transformation over time, driven by advancements in information and communication technologies, as well as the development of educational models. As the educational environment continues to evolve, online learning platforms have played a pivotal role in shaping online education into its current form. This chapter aims to explore the key attributes and functionalities of these online learning platforms to understand their impact on pedagogical practices, as well as their effects on student engagement, retention rates, and overall educational outcomes—factors that remain vital for educators, educational process managers, and leaders alike. In doing so, we seek to provide a comprehensive review of the development of online learning platforms, evaluate the effectiveness of different technologies, and contemplate potential future directions for online education. This analysis is grounded in a meticulous review of existing literature and supported by comparative analysis.

Background/Objectives: Lung cancer remains the leading cause of cancer-related mortality worldwide among both men and women. Early and accurate detection is essential to improve patient outcomes. This study explores the use of artificial intelligence (AI)-based software for the diagnosis of lung cancer through the analysis of medical images in DICOM format, aiming to enhance image visualization, preprocessing, and diagnostic precision in chest computed tomography (CT) scans. Methods: The proposed system processes DICOM medical images converted to standard formats (JPG or PNG) for preprocessing and analysis. An ensemble of classical machine learning algorithms—including Random Forest, Gradient Boosting, Support Vector Machine, and K-Nearest Neighbors—was implemented to classify pulmonary images and predict the likelihood of malignancy. Image normalization, denoising, segmentation, and feature extraction were performed to improve model reliability and reproducibility. Results: The AI-enhanced system demonstrated substantial improvements in diagnostic accuracy and robustness compared with individual classifiers. The ensemble model achieved a classification accuracy exceeding 90%, highlighting its effectiveness in identifying malignant and non-malignant lung nodules. Conclusions: The findings indicate that AI-assisted CT image processing can significantly contribute to the early detection of lung cancer. The proposed methodology enhances diagnostic confidence, supports clinical decision-making, and represents a viable step toward integrating AI into radiological workflows for early cancer screening.

The future of sustainable smart cities is based on effective collaboration between technology, policy and community engagement, with the integration of artificial intelligence (AI) into urban planning is rapidly transforming the way cities manage their environmental resources. This innovative technology has the potential to improve the functionality of green and blue infrastructure, offering sustainable solutions that address both ecological conservation and urbanization challenges. As cities strive for sustainability, the application of AI enables real-time monitoring and predictive analytics, facilitating more informed decision-making that balances human needs with ecological demands. In conclusion, while the integration of AI holds great promise for transforming urban environments, it simultaneously requires a comprehensive framework that prioritizes sustainability, equity, and active citizen participation in shaping the cities of the future.

The advancement of technology has made digital education a vital tool for global access to quality education, making it necessary to have comprehensive regulations and public policies to ensure ethical use. These protect the rights of students and educators, data confidentiality and institutional integrity, while promoting equity and inclusion. Global efforts are focused on developing regulatory frameworks and integrating policies to improve the quality of education across borders. New education policies, such as the UN Sustainable Development Goals, highlight the potential of technology to improve education. This study examines the challenges and opportunities of integrating global education policy with technology to improve educational outcomes around the world, with the participation of policymakers, educators, and technology specialists. Reviewing the European Union, Latin America, and nations with the highest educational standards such as Finland, South Korea, and Singapore.

A smart city is a city that uses the optimum management of water, city technology, energy, mobility, public transportation, distribution of transport routes, road network safety management, the construction of homes / offices / transportation structure, industry / jobs, education, healthcare, public safety, government, civil protection, food, environmental pollution, and solid, hazardous and special waste This chapter will analyse how smart cities can become catalysts for urban sustainability through the implementation of advanced technologies and the integration of innovative strategies. With a focus on carbon footprint reduction, energy efficiency and climate change resilience, it will explore various initiatives and policies that are transforming cities towards a greener and more equitable future.