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Wireless Internet, Multimedia, and Artificial Intelligence: New Applications and Infrastructures

Author

Listed:
  • Roberto Saia

    (Department of Mathematics and Computer Science, University of Cagliari, 09124 Cagliari, Italy)

  • Salvatore Carta

    (Department of Mathematics and Computer Science, University of Cagliari, 09124 Cagliari, Italy)

  • Olaf Bergmann

    (Department of Mathematics and Computer Science, University of Bremen, D-28359 Bremen, Germany)

Abstract

The potential offered by the Internet, combined with the enormous number of connectable devices, offers benefits in many areas of our modern societies, both public and private. The possibility of making heterogeneous devices communicate with each other through the Internet has given rise to a constantly growing scenario, which was unthinkable not long ago. This unstoppable growth takes place thanks to the continuous availability of increasingly sophisticated device features, an ever-increasing bandwidth and reliability of the connections, and the ever-lower consumption of the devices, which grants them long autonomy. This scenario of exponential growth also involves other sectors such as, for example, that of Artificial Intelligence (AI), which offers us increasingly sophisticated approaches that can be synergistically combined with wireless devices and the Internet in order to create powerful applications for everyday life. Precisely for the aforementioned reasons, the community of researchers, year by year, dedicates more time and resources in this direction. It should be observed that this happens in an atypical way concerning the other research fields, and this is because the achieved progress and the developed applications have practical applications in numerous and different domains.

Suggested Citation

  • Roberto Saia & Salvatore Carta & Olaf Bergmann, 2021. "Wireless Internet, Multimedia, and Artificial Intelligence: New Applications and Infrastructures," Future Internet, MDPI, vol. 13(9), pages 1-3, September.
  • Handle: RePEc:gam:jftint:v:13:y:2021:i:9:p:240-:d:639788
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    References listed on IDEAS

    as
    1. Sheetal Ghorpade & Marco Zennaro & Bharat Chaudhari, 2021. "Survey of Localization for Internet of Things Nodes: Approaches, Challenges and Open Issues," Future Internet, MDPI, vol. 13(8), pages 1-26, August.
    2. Laura Studen & Victor Tiberius, 2020. "Social Media, Quo Vadis? Prospective Development and Implications," Future Internet, MDPI, vol. 12(9), pages 1-22, August.
    3. Maghsoud Morshedi & Josef Noll, 2021. "Estimating PQoS of Video Conferencing on Wi-Fi Networks Using Machine Learning," Future Internet, MDPI, vol. 13(3), pages 1-18, March.
    4. Magdalena Garlinska & Agnieszka Pregowska & Karol Masztalerz & Magdalena Osial, 2020. "From Mirrors to Free-Space Optical Communication—Historical Aspects in Data Transmission," Future Internet, MDPI, vol. 12(11), pages 1-18, October.
    5. Francesco Barchi & Luca Zanatta & Emanuele Parisi & Alessio Burrello & Davide Brunelli & Andrea Bartolini & Andrea Acquaviva, 2021. "Spiking Neural Network-Based Near-Sensor Computing for Damage Detection in Structural Health Monitoring," Future Internet, MDPI, vol. 13(8), pages 1-22, August.
    6. Francesco Contu & Andrea Demontis & Stefano Dessì & Marco Muscas & Daniele Riboni, 2021. "AI-Based Analysis of Policies and Images for Privacy-Conscious Content Sharing," Future Internet, MDPI, vol. 13(6), pages 1-21, May.
    7. Salvatore Carta & Alessandro Sebastian Podda & Diego Reforgiato Recupero & Roberto Saia, 2020. "A Local Feature Engineering Strategy to Improve Network Anomaly Detection," Future Internet, MDPI, vol. 12(10), pages 1-30, October.
    8. Agnese Augello & Ignazio Infantino & Giovanni Pilato & Gianpaolo Vitale, 2021. "Site Experience Enhancement and Perspective in Cultural Heritage Fruition—A Survey on New Technologies and Methodologies Based on a “Four-Pillars” Approach," Future Internet, MDPI, vol. 13(4), pages 1-23, April.
    9. Ola Karajeh & Dirar Darweesh & Omar Darwish & Noor Abu-El-Rub & Belal Alsinglawi & Nasser Alsaedi, 2021. "A Classifier to Detect Informational vs. Non-Informational Heart Attack Tweets," Future Internet, MDPI, vol. 13(1), pages 1-10, January.
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