DEEP LEARNING FOR INTELLIGENT IOT: OPPORTUNITIES, CHALLENGES AND SOLUTIONS
Keywords:
Internet of Things (IoT), Artificial Intelligence, Deep Neural Networks, Industrial Automation (IIoT), Massive Data Analytics.Abstract
Next-generation wireless infrastructures need to be resilient and self-reliant. The Internet of Things (IoT) is transforming how technology is embedded into people's everyday routines. IoT solutions are extremely varied, encompassing essential domains such as smart urban environments, healthcare systems, and industrial automation. Artificial intelligence (AI) techniques, particularly machine learning (ML), are being integrated into IoT to enhance network functionality and make it more autonomous. Deep learning (DL), a subset of ML, is resource-intensive and computationally demanding. One of the primary obstacles is incorporating deep learning strategies into IoT to significantly increase the effectiveness of IoT-based solutions. As a result, solutions developed on top of this enhanced architecture will gain considerable advantages, and it will also facilitate widespread adoption of the system.
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