Akademik Veri Yönetim Sistemi
Intelligent Mobile and IoT Ecosystems, M. K. Kavitha Devi,Thangavel Murugan,K. Indira,Raja Lavanya,S. Abinaya, Editör, Chapman & Hall/Crc Press, New York, ss.1-322, 2026
AI and IoT are transforming modern cities and businesses by enhancing efficiency, innovation, and sustainability. AI replicates human intelligence for decision-making, while IoT connects devices to collect and analyze real-time data (Agboola 2024). Together, they enable predictive maintenance, optimize supply chains, forecast sales (Baby & Newniz 2023), and personalize products. For instance, IoT sensors in manufacturing track equipment performance, and AI predicts failures to minimize downtime. Similarly, AI-IoT-driven logistics improve supply chain operations and reduce costs (Eyo-Udo 2024). Moreover, IoT-enabled smart grids and AI energy optimization systems help integrate renewable energy and reduce waste, promoting urban sustainability. The convergence of AI and IoT not only is important for improving efficiency but also helps in addressing significant contemporary challenges, like urbanization, population growth, and environmental degradation, which increase the need for resilient urban systems (Agboola & Redzuan 2024). AI and IoT play a significant role in disaster management, with IoT-based early warning systems detecting seismic activity or rising water levels, while AI optimizes alerts and resource distribution during emergencies (Pathinettampadian et al. 2024). It also plays a major role in predicting terrorist attacks (Baby & Sruthi 2023). The usage of AI and IoT signifies a shift in how industries and urban systems function, driving innovation and advancing the United Nations Sustainable Development Goals (SDGs), specifically in sustainable cities, climate action, and clean energy. Collaborative intelligence (CI) facilitates a synergy between machine intelligence and human cognition. In IoT ecosystems, collaborative intelligence combines several intelligent agents, both human and machine, to facilitate smooth communication, effective decision-making, and data management that protects privacy. However, creating reliable, safe, and effective systems requires an understanding of the interactions between crucial elements, including data fusion, decision-making, and privacy (Alahi et al. 2023; Damaševičius et al. 2023).