Efficient representation of boolean decision structures through Boolean function optimization. [PDF]
Front Artif IntellSrinivas M, Sheet D.
europepmc +1 more source
Intrusion Detection in the Internet of Things: A Comprehensive Review of Techniques, Architectures, Datasets, and Emerging Trends. [PDF]
Sensors (Basel)Komal A, Li S.
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Design and implementation of a 6-DoF robot arm control with object detection based on machine learning using mini microcontroller. [PDF]
Sci RepAlmaliki HH, Mazinan AH, Modaresi SM.
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Distributed trust-driven intelligence for edge-level prediction in mobile industrial internet of things. [PDF]
Sci RepJan Z +4 more
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TinyML with CTGAN based smart industry power load usage prediction with original and synthetic data visualization towards industry 5.0. [PDF]
Sci RepMuthusamy M +5 more
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TinyML para Detección de Fallas en Sistemas Fotovoltaicos
Photovoltaic (PV) solar energy has become a cornerstone of the global energy transition, with sustained growth in installed capacity and participation in the electricity mix.
Lara Forero, Pablo Andrés
core
Intelligent Real-Time Healthcare and Biomedical Monitoring Systems: A Narrative Review of AI, IoT, and Emerging Technologies. [PDF]
Bioengineering (Basel)Elhanashi A, Saponara S.
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A privacy preserving optimized intelligent security framework for smart homes using zero trust architecture and explainability. [PDF]
Sci RepGupta A +5 more
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TActiLE: active stream learning for tiny devices
LAUREA MAGISTRALEIl TinyML è un campo in rapida evoluzione relativo all’intelligenza artificial (IA), che si focalizza in applicazioni e tecnologie per dispositivi estremamente di basso profilo.
GALIMBERTI, CLAUDIO
core
Smart Energy Management in Agricultural Wireless Sensor Nodes Using TinyML-Based Adaptive Sampling. [PDF]
Sensors (Basel)Hinostroza A, Tarrillo J, Nuñez M.
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