IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v13y2021i9p240-d639788.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/13/9/240/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/13/9/240/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Laura Studen & Victor Tiberius, 2020. "Social Media, Quo Vadis? Prospective Development and Implications," Future Internet, MDPI, vol. 12(9), pages 1-22, August.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bhavani Malisetty & Alfredo J. Perez, 2024. "Evaluating Quantized Llama 2 Models for IoT Privacy Policy Language Generation," Future Internet, MDPI, vol. 16(7), pages 1-17, June.
    2. Yasser Khan & Mazliham Bin Mohd Su’ud & Muhammad Mansoor Alam & Syed Fayaz Ahmad & Ahmad Y. A. Bani Ahmad (Ayassrah) & Nasir Khan, 2022. "Application of Internet of Things (IoT) in Sustainable Supply Chain Management," Sustainability, MDPI, vol. 15(1), pages 1-14, December.
    3. Peter R. J. Trim & Yang-Im Lee & An Vu, 2023. "Insights into How Vietnamese Retailers Utilize Social Media to Facilitate Knowledge Creation through the Process of Value Co-Creation," Future Internet, MDPI, vol. 15(4), pages 1-18, March.
    4. Kumar, Satish & Sahoo, Saumyaranjan & Lim, Weng Marc & Kraus, Sascha & Bamel, Umesh, 2022. "Fuzzy-set qualitative comparative analysis (fsQCA) in business and management research: A contemporary overview," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    5. Philip Nyblom & Gaute Wangen & Vasileios Gkioulos, 2020. "Risk Perceptions on Social Media Use in Norway," Future Internet, MDPI, vol. 12(12), pages 1-40, November.
    6. Ahed Abugabah & Farah Shahid, 2023. "Intelligent Health Care and Diseases Management System: Multi-Day-Ahead Predictions of COVID-19," Mathematics, MDPI, vol. 11(4), pages 1-19, February.
    7. Qiang Yang & Litao Hua & Xudong Gao & Dongdong Xu & Zhenyu Lu & Sang-Woon Jeon & Jun Zhang, 2022. "Stochastic Cognitive Dominance Leading Particle Swarm Optimization for Multimodal Problems," Mathematics, MDPI, vol. 10(5), pages 1-34, February.
    8. Jianmin Dang & Xiaozhen Wang & Ying Xie & Ziyi Fu, 2023. "The Location Optimization of Urban Shared New Energy Vehicles Based on P-Median Model: The Example of Xuzhou City, China," Sustainability, MDPI, vol. 15(12), pages 1-16, June.
    9. Maria Zunally Rapada & Derrick Ethelbhert Yu & Krista Danielle Yu, 2021. "Do Social Media Posts Influence Consumption Behavior towards Plastic Pollution?," Sustainability, MDPI, vol. 13(22), pages 1-18, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:13:y:2021:i:9:p:240-:d:639788. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.