Design of Tiny Contrastive Learning Network with Noise Tolerance for Unauthorized Device Identification in Internet of UAVs
Artificial intelligence enhanced Internet of unmanned aerial vehicles (UAVs) is a promising
network to achieve the complicated vehicular tasks and construct intelligent communication …
network to achieve the complicated vehicular tasks and construct intelligent communication …
AC-DNN: An Adaptive Compact DNNs Architecture for Collaborative Learning Among Heterogeneous Smart Devices
G Wu, F Liu, S Li, Q Song, Z Tang - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT), a massive number of smart
devices are deployed in industry and critical infrastructures. Nowadays, IoT smart devices …
devices are deployed in industry and critical infrastructures. Nowadays, IoT smart devices …
A Progressive Framework of Vision-language Knowledge Distillation and Alignment for Multilingual Scene
Pre-trained vision-language (VL) models such as CLIP have shown excellent performance
in many downstream cross-modal tasks. However, most of them are only applicable to the …
in many downstream cross-modal tasks. However, most of them are only applicable to the …
A TinyDL Model for Gesture-Based Air Handwriting Arabic Numbers and Simple Arabic Letters Recognition
The application of tiny machine learning (TinyML) in human-computer interaction is
revolutionizing gesture recognition technologies. However, there remains a significant gap …
revolutionizing gesture recognition technologies. However, there remains a significant gap …
Advancements in Machine Learning in Sensor Systems: Insights from Sensys-ML and TinyML Communities
P Yadav - 2024 IEEE 3rd Workshop on Machine Learning on …, 2024 - ieeexplore.ieee.org
The integration of machine learning (ML) algorithms with edge sensor systems has
fundamentally transformed numerous industries. This convergence empowers real-time data …
fundamentally transformed numerous industries. This convergence empowers real-time data …
[PDF][PDF] An analysis of TinyML@ ICCAD for implementing AI on low-power microprocessor
Tiny machine learning (ML) is an important application area of artificial intelligence (AI),
which focuses on deploying AI on small hardware platforms with constrained resources [1 …
which focuses on deploying AI on small hardware platforms with constrained resources [1 …
Voice Activated Edge Devices Using Tiny Machine Learning Enabled Microcontroller
MR Uddin, A Asaduzzaman, K Le… - 2024 IEEE Green …, 2024 - ieeexplore.ieee.org
In the ever-evolving landscape of technology, the integration of intelligent and responsive
devices into our daily lives has become ubiquitous. From smart homes to industrial settings …
devices into our daily lives has become ubiquitous. From smart homes to industrial settings …
Decentralized Pub/Sub Architecture for Real-Time Remote Patient Monitoring: A Feasibility Study
The confluence of the Internet of Things (IoT) within the healthcare sector, called Internet of
Medical Things (IoMT), has ushered in a transformative approach to real-time patient …
Medical Things (IoMT), has ushered in a transformative approach to real-time patient …
[PDF][PDF] A TinyDL Model for Gesture-Based Air Handwriting Arabic Numbers and Simple Arabic Letters Recognition
P PŁAWIAK, F ALBLEHAI - 2024 - researchgate.net
The application of tiny machine learning (TinyML) in human-computer interaction is
revolutionizing gesture recognition technologies. However, there remains a significant gap …
revolutionizing gesture recognition technologies. However, there remains a significant gap …
[CITATION][C] TinyML algorithms for Big Data Management in large-scale IoT systems
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