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Abstract: The blend of Deep Learning (DL) and the Internet of Things (IoT) has opened doors to the creation of intelligent, autonomous systems that can make real-time decisions. This paper explores the core concepts of DL and IoT, discusses their integration architectures, and highlights diverse applications in sectors like healthcare, agriculture, and smart cities. We also address the challenges that accompany this integration and suggest paths for future research.
Keywords:
IOT,RNN,CNN,LSTM
Cite Article:
" Integrating Deep Learning with IoT: Concepts, Architectures, and Applications", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.b514-b516, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505159.pdf
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000441
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator