Convergence of Internet of Things and Artificial Intelligence in order to develop a powerful technology (AIoT)
Keywords:
Artificial intelligence, Internet of Things, Artificial intelligence of things, Transformative technologiesAbstract
Today's business world is changing with the advancement of Internet of Things (IOT) and artificial intelligence. The Internet of Things is helping to collect huge amounts of data from multiple sources. However, the large amount of data collected through the myriad of IoT devices complicates data processing and analysis. Realizing the goals and full potential of IoT devices requires investment in new technologies. Is. The convergence of artificial intelligence (AI) and the Internet of Things could redefine how industries, businesses, and economies operate. Artificial intelligence uses the Internet of Things to create intelligent machines that simulate intelligent behavior and support decision-making with little or no human intervention. The combination of the two is mutually beneficial for both laypersons and professionals. . While IoT deals with devices that interact with each other using the internet, artificial intelligence makes devices learn from their data and experiences. This chapter shows why we need to combine IoT and artificial intelligence.
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Aliahmadi, A., & Nozari, H. (2023, January). Evaluation of security metrics in AIoT and blockchain-based supply chain by Neutrosophic decision-making method. In Supply Chain Forum: An International Journal (Vol. 24, No. 1, pp. 31-42). Taylor & Francis.
Aliahmadi, A., Jafari-Eskandari, M., Mozafari, M., & Nozari, H. (2013). Comparing artificial neural networks and regression methods for predicting crude oil exports. International Journal of Information, Business and Management, 5(2), 40-58.
Aliahmadi, A., Nozari, H., & Ghahremani-Nahr, J. (2022). AIoT-based sustainable smart supply chain framework. International journal of innovation in management, economics and social sciences, 2(2), 28-38.
Aliahmadi, A., Nozari, H., & Ghahremani-Nahr, J. (2022). Big Data IoT-based agile-lean logistic in pharmaceutical industries. International Journal of Innovation in Management, Economics and Social Sciences, 2(3), 70-81.
Bayanati, M. (2019). Identifying and analyzing dimensions and components and indicators affecting technology transfer with an emphasis on digital transformation. International Scientific Hub, 36-48.
Bayanati, M. (2019). Theories and models of product innovation and organizational innovation. International Scientific Hub, 11-21.
Bayanati, M. (2023). Business Model of Internet of Things and Blockchain Technology in Developing Countries. International Journal of Innovation in Engineering, 3(1), 13-22.
Bayanati, M. (2023). Security and privacy analysis based on Internet of Things in the fourth industrial generation (Industry 4.0). International Journal of Innovation in Management, Economics and Social Sciences, 3(2), 1-12.
Daneshvar, A., Radfar, R., Ghasemi, P., Bayanati, M., & Pourghader Chobar, A. (2023). Design of an Optimal Robust Possibilistic Model in the Distribution Chain Network of Agricultural Products with High Perishability under Uncertainty. Sustainability, 15(15), 11669.
Ghahremani-Nahr, J., Aliahmadi, A., & Nozari, H. (2022). An IoT-based sustainable supply chain framework and blockchain. International Journal of Innovation in Engineering, 2(1), 12-21.
Jafari Eskandari, M., Nozari, H., & Mokhtari Saghinsara, M. (2020). Implementation of fuzzy-robust programming method in the locating-routing and allocation multi-objective pharmaceutical supply chain problem under uncertainty. Journal of Decisions and Operations Research, 5(1), 71-48.
Khaje Zadeh, S., Shahverdiani, S., Daneshvar, A., & Madanchi Zaj, M. (2021). Predicting the optimal stock portfolio approach of meta-heuristic algorithm and Markov decision process. Journal of decisions and operations research, 5(4), 426-445.
Lotfi, F. H. Z., Najafi, S. E., & Nozari, H. (Eds.). (2016). Data envelopment analysis and effective performance assessment. IGI Global.
Madanchi Zaj, M., Nikoomaram, H., & Saeedi, A. (2017). Overreaction & Under reaction: Evaluating performance and Speed of Adjustment Investment Strategies in Tehran Stock Exchange (TSE). International Journal of Finance & Managerial Accounting, 2(6), 103-120.
Madanchi, M., Shahverdian, S., & Hamidifar, F. (2017). Endowment and Charity Financing Model to Develop Science and Technology. International Journal of Finance & Managerial Accounting, 1(4), 55-70.
Mazraeh, N. B., Daneshvar, A., & Roodposhti, F. R. (2022). Stock portfolio optimization using a combined approach of multi objective grey wolf optimizer and machine learning preselection methods. Computational Intelligence and Neuroscience, 2022.
Mehrani, K., & Madanchi Zaj, M. (2018). The Test of the Effect of Investor Trading Behavior and InvestorsSentiment on Excess Return in Tehran Stock Exchange. Financial Management Strategy, 6(2), 140-167.
Mohammadi, H., Ghazanfari, M., Nozari, H., & Shafiezad, O. (2015). Combining the theory of constraints with system dynamics: A general model (case study of the subsidized milk industry). International journal of management science and engineering management, 10(2), 102-108.
Nozari, H. (2023). Supply chain based on Internet of things: opportunities and challenges. International Scientific Hub, 11-20.
Nozari, H., Ghahremani-Nahr, J., & Szmelter-Jarosz, A. (2023). AI and machine learning for real-world problems. Advances In Computers, (online first).
Rahmaty, M. (2020). An overview of supply chain management, challenges and opportunities. International Scientific Hub, 1-12.
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