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elhadj yahya mohamed (curatore); nanne mohamedade farouk (curatore); koubaa anis (curatore); meziane farid (curatore); deriche mohamed (curatore) - artificial intelligence and its practical applications in the digital economy
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Artificial Intelligence and Its Practical Applications in the Digital Economy Proceedings of the International Conference on Artificial Intelligence and its Practical Applications in the Age of Digital Transformation 2024, Volume 2

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 12/2024





Trama

Artificial Intelligence (AI) technologies hold immense promise for developing countries by offering innovative solutions to longstanding challenges. By leveraging AI in health care, education, economic development, infrastructure, and resource management, these countries can potentially leapfrog traditional development stages and improve the quality of life for their populations. However, it's essential to approach AI deployment with ethical considerations to ensure that the technology serves the best interests of these communities and thus to maximize the expected benefits.

The I2COMSAPP'24 "International Conference on Artificial Intelligence and its Applications in the Age of Digital Transformation" aims to provide an excellent opportunity to gather experts, researchers, practitioners, and innovators from various fields to explore the latest advancements, challenges, and practical implementations of artificial intelligence and machine learning (ML) technologies. Moreover, it aims to foster knowledge sharing, collaboration, and networking among professionals who are driving responsible and innovative use of AI and leveraging real-world applications for the betterment of society and industries.





Sommario

The prediction of the wind speed and the solar irradiation in the Sahel using the Artificial neural networks case study site of Nouakchott.- Deep learning for smart grid application addressing data scarcity challenges and enhancing load forecasting efficiency.- Enhancing Advanced Time-Series Forecasting of Electric Energy Consumption based on RNN augmented with LSTM Techniques.











Altre Informazioni

ISBN:

9783031714283

Condizione: Nuovo
Collana: Lecture Notes in Networks and Systems
Dimensioni: 235 x 155 mm
Formato: Brossura
Illustration Notes:IX, 304 p. 173 illus., 104 illus. in color.
Pagine Arabe: 304
Pagine Romane: ix


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