The rapid urbanization and industrialization have significantly altered the global environment, necessitating the implementation of effective environmental monitoring and management strategies. This paper explores the integration of computational intelligence techniques in addressing these environmental challenges. Computational intelligence encompasses various methodologies such as artificial intelligence (AI), machine learning (ML), and evolutionary algorithms (EAs) that can be harnessed to analyze complex environmental data, predict future trends, and optimize resource allocation. The use of AI in environmental monitoring allows for the automation of data collection, processing, and analysis, thereby enhancing the efficiency of decision-making processes. Machine learning algorithms, particularly those based on deep learning, have demonstrated their prowess in recognizing patterns and extracting meaningful insights from vast amounts of environmental data, including satellite imagery, sensor readings, and meteorological information. Evolutionary algorithms, on the other hand, enable the optimization of management strategies by evolving solutions through iterative processes. This paper provides a comprehensive overview of the application of computational intelligence techniques in environmental monitoring and management, highlighting their potential to facilitate sustainable development and the preservation of ecosystems.
White, E. Computational Intelligence Techniques for Environmental Monitoring and Management. Transactions on Applied Soft Computing, 2020, 2, 12. https://doi.org/10.69610/j.tasc.20200922
AMA Style
White E. Computational Intelligence Techniques for Environmental Monitoring and Management. Transactions on Applied Soft Computing; 2020, 2(2):12. https://doi.org/10.69610/j.tasc.20200922
Chicago/Turabian Style
White, Emma 2020. "Computational Intelligence Techniques for Environmental Monitoring and Management" Transactions on Applied Soft Computing 2, no.2:12. https://doi.org/10.69610/j.tasc.20200922
APA style
White, E. (2020). Computational Intelligence Techniques for Environmental Monitoring and Management. Transactions on Applied Soft Computing, 2(2), 12. https://doi.org/10.69610/j.tasc.20200922
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