FormerLeaf: An efficient vision transformer for Cassava Leaf Disease detection

HT Thai, KH Le, NLT Nguyen - Computers and Electronics in Agriculture, 2023 - Elsevier
Leaf diseases have become more prevalent in recent years due to climate change,
increased growth of outdoor air pollutants, and global warming. They may severely damage …

AI micro-decisions in FinTechs: a mixed method research design

H Issa, R Jabbouri, RA Mehanna - Management Decision, 2023 - emerald.com
Purpose The exponential growth of artificial intelligence (AI) technologies, coupled with
advanced algorithms and increased computational capacity, has facilitated their widespread …

Combining Multiagent Systems with IoT forSmarter Buildings and Cities: a literature review

PH Luzolo, S Galland, Z Elrawashdeh, F Outay… - 2023 - researchsquare.com
Abstract The Internet of Things (IoT) and Artificial Intelligence (AI) are two technologiesthat
have long been applied to the development of smart systems. These systemscover various …

Perceptual encryption-based privacy-preserving deep learning in internet of things applications

I Ahmad, S Shin - 2022 13th International Conference on …, 2022 - ieeexplore.ieee.org
In the Internet of Things (IoT) ecosystem, cloud computations are widely utilized to train a
deep learning model on public datasets. The trained model can then be deployed on edge …

Computation Offloading and Resource Allocation in IoT-Based Mobile Edge Computing Systems

B Hu, Y Gao, W Zhang, D Jia… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
With the rise in popularity of artificial intelligence (AI) and internet of things (IoT)
technologies, advanced AI technologies have been widely applied to support delay/time …

Towards smart traffic lights based on deep learning and traffic flow information

NY Tran-Van, XH Nguyerr, KH Le - 2022 9th NAFOSTED …, 2022 - ieeexplore.ieee.org
Traffic congestion is a significant cause hindering development and adversely affecting
socio-economic life; mean-while, traditional traffic light systems have become obsolete …

Incremental learning for edge network intrusion detection

A GLAVAN, V CROITORU - Revue Roumaine Des Sciences …, 2023 - journal.iem.pub.ro
The paper presents incremental learning as a solution for adapting intrusion detection
systems to the dynamic edge network conditions. Extreme gradient boost trees are proposed …

A Real-time Border Surveillance System using Deep Learning and Edge Computing

DK Luong-Huu, TA Ngo, HT Thai… - 2022 RIVF International …, 2022 - ieeexplore.ieee.org
Border security has always been one of the top priority obligations and responsibilities in
protecting the peace of nations. Most nations have thousands of kilometers of long borders …

An Edge-based Fire Detection System for Real-Time IoT Applications

HT Thai, NY Tran-Van, KH Le-Minh… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Fire detection is a crucial research topic that has recently attracted many works. However,
most of these existing methods tend to achieve high accuracy based on large deep neural …

Towards Real-time Outdoor Air Quality Prediction Using a Hybrid Model Based on Internet of Things Devices

NY Tran-Van, HT Thai, KH Le-Minh… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Monitoring Air Quality Index (AQI) provides comprehensive air quality and valuable
information about health risks and environmental impacts. The proliferation of IoT devices …