RETRACTED: Regional smart logistics economic development based on artificial intelligence and embedded system

Ding, Xiaonan; Shi, Peipei; Li, Xingming

doi:10.1016/j.micpro.2020.103725

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…In remote regions, the field programmable gate arraybased embedded internet of things system is one of the most preferred systems beneficial for optimizing wastewater treatment plants and leveraging logistics flow to improve the sludge management process in the future (Ding et al 2021;Henriques et al 2020). In addition, artificial intelligence technology in electrical automation provides fault diagnosis and troubleshooting of the process conditions, electrical control system, and electrical equipment and facilitates daily operation (Yang 2020).…”

Section: Blockchain Technologymentioning

confidence: 99%

Artificial intelligence and machine learning for the optimization of pharmaceutical wastewater treatment systems: a review

Ganthavee,

Trzcinski

2024

Environ Chem Lett

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The access to clean and drinkable water is becoming one of the major health issues because most natural waters are now polluted in the context of rapid industrialization and urbanization. Moreover, most pollutants such as antibiotics escape conventional wastewater treatments and are thus discharged in ecosystems, requiring advanced techniques for wastewater treatment. Here we review the use of artificial intelligence and machine learning to optimize pharmaceutical wastewater treatment systems, with focus on water quality, disinfection, renewable energy, biological treatment, blockchain technology, machine learning algorithms, big data, cyber-physical systems, and automated smart grid power distribution networks. Artificial intelligence allows for monitoring contaminants, facilitating data analysis, diagnosing water quality, easing autonomous decision-making, and predicting process parameters. We discuss advances in technical reliability, energy resources and wastewater management, cyber-resilience, security functionalities, and robust multidimensional performance of automated platform and distributed consortium, and stabilization of abnormal fluctuations in water quality parameters.

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Section: Blockchain Technologymentioning

confidence: 99%

Artificial intelligence and machine learning for the optimization of pharmaceutical wastewater treatment systems: a review

Ganthavee,

Trzcinski

2024

Environ Chem Lett

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“…Artificial Intelligence (AI) has profoundly transformed various fields in recent years, from healthcare to transportation, and education to entertainment, and logistics [1,2]. One area that has seen significant influence is economic development at regional, national, and global levels.…”

Section: Introductionmentioning

confidence: 99%

Regional Economic Development in the AI Era: Methods, Opportunities, and Challenges

Damaševičius

2023

JRE

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<p class="MsoNormal" style="margin-top: 6pt; text-align: justify;"><span lang="EN-US" style="font-family: arial, helvetica, sans-serif;">The dawn of the Artificial Intelligence (AI) era presents a plethora of new possibilities for analyzing regional economic development. The present article provides an in-depth exploration of the methods employed in this field, highlighting the immense opportunities that AI offers while also addressing potential challenges. The role of AI is crucial in complex data handling, enabling efficient analyses of intricate regional economic patterns. This capacity is paramount in shaping economic policies and strategies that are reflective of each region's unique needs and potential. The article firstly explores various AI methods used in economic analysis, including but not limited to machine learning, deep learning, and natural language processing. It delves into the application of these methods in discerning development trends, predicting economic shifts, and identifying strategic economic drivers unique to various regions. Subsequently, the potential of AI to transform regional economic analysis is discussed, encompassing its capability to process large and complex datasets, its power to predict future trends based on past and present data, and its ability to aid in strategic decision-making. However, this new era of AI-driven economic analysis is not without challenges. The latter part of this article thus confronts the issues related to data privacy, ethical use of AI, and the necessity of interdisciplinary skills in AI and economics. This exploration contributes to a broader understanding of how AI is transforming the landscape of regional economic development analysis, illuminating both its present use and future implications. By understanding these dynamics, we can better harness the potential of AI to advance economic prosperity in various regions around the globe.</span></p>

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Evaluating the Role of AI and Empirical Models for Predicting Regional Economic Growth and Transportation Dynamics: An Application of Advanced AI Approaches

Wang,

Zhu,

Kashif Anwar

et al. 2024

International Journal of Transportation Science and Technology

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RETRACTED: Regional smart logistics economic development based on artificial intelligence and embedded system

Cited by 4 publications

References 3 publications

Artificial intelligence and machine learning for the optimization of pharmaceutical wastewater treatment systems: a review

Artificial intelligence and machine learning for the optimization of pharmaceutical wastewater treatment systems: a review

Regional Economic Development in the AI Era: Methods, Opportunities, and Challenges

Evaluating the Role of AI and Empirical Models for Predicting Regional Economic Growth and Transportation Dynamics: An Application of Advanced AI Approaches

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