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"Fusion Neural Networks for Air Pollution Prediction in Smart Cities" by Sumaya Sanober is a groundbreaking book that explores the fusion of artificial neural network models for accurate and reliable air pollution prediction in the context of smart cities. With the increasing urbanization and environmental concerns, the book addresses the need for efficient and proactive air quality management systems. The author delves into the concept of fusion techniques, combining multiple data sources and sensor networks, to enhance the predictive capabilities of artificial neural networks. By integrating…mehr

Produktbeschreibung
"Fusion Neural Networks for Air Pollution Prediction in Smart Cities" by Sumaya Sanober is a groundbreaking book that explores the fusion of artificial neural network models for accurate and reliable air pollution prediction in the context of smart cities. With the increasing urbanization and environmental concerns, the book addresses the need for efficient and proactive air quality management systems. The author delves into the concept of fusion techniques, combining multiple data sources and sensor networks, to enhance the predictive capabilities of artificial neural networks. By integrating data from various sensors, such as those measuring atmospheric pollutants, weather conditions, and traffic patterns, the book demonstrates how the fusion of information can provide a comprehensive understanding of air pollution dynamics in urban environments. Through in-depth research and analysis, Sumaya Sanober presents various fusion algorithms and model integration approaches that enable the development of highly accurate and robust prediction models. The book explores the use of machine learning and deep learning techniques, coupled with data fusion methods, to extract meaningful patterns and relationships from large-scale environmental data sets. The practical applications of fusion artificial neural network models in smart cities are discussed, emphasizing their potential in supporting decision-making processes for air quality management, urban planning, and environmental sustainability. Furthermore, the book highlights the importance of real-time monitoring and data-driven approaches for effective pollution control and climate change mitigation strategies. "Fusion Neural Networks for Air Pollution Prediction in Smart Cities" serves as an invaluable resource for researchers, environmental scientists, urban planners, and policymakers interested in leveraging advanced technologies to combat air pollution. The insights provided by Sumaya Sanober contribute to the development of intelligent systems and smart technologies that can promote healthier and more sustainable urban environments.