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| Title | Deepthink Iot: The Strength Of Deep Learning In Internet Of Things |
|---|---|
| ID_Doc | 18149 |
| Authors | Thakur D.; Saini J.K.; Srinivasan S. |
| Year | 2023 |
| Published | Artificial Intelligence Review, 56, 12 |
| DOI | http://dx.doi.org/10.1007/s10462-023-10513-4 |
| Abstract | The integration of Deep Learning (DL) and the Internet of Things (IoT) has revolutionized technology in the twenty-first century, enabling humans and machines to perform tasks more efficiently. The combination of DL and the IoT has resulted in significant advancements in technology by improving the efficiency, security, and user experience of IoT devices and systems. The integration of DL and IoT offers several benefits, including improved data processing and analysis capabilities, the ability for IoT devices to learn from data and adapt to changing conditions, and the early detection of system malfunctions and potential security breaches. This survey paper provides a comprehensive overview of the impact of DL on IoT, including an analysis of sensor data to detect patterns and make predictions, and the implications for various industries such as healthcare, manufacturing, agriculture, and smart cities. The survey paper covers topics such as DL models, frameworks, IoT connectivity terminologies, IoT components, IoT service-oriented architecture, IoT applications, the role of DL in IoT, and challenges faced by DL in IoT. The study also presents quantitative achievements that highlight the potential impact of IoT and DL in environmental contexts such as precision farming and energy consumption. Overall, the survey paper provides an excellent resource for researchers interested in exploring the potential of IoT and DL in their field. © 2023, The Author(s), under exclusive licence to Springer Nature B.V. |
| Author Keywords | Activation functions; Deep learning; Deep learning models; IoT; IoT applications; IoT challenges in deep learning; Strength of deep learning |
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