Zobrazeno 1 - 10
of 547
pro vyhledávání: '"Li-minn Ang"'
Publikováno v:
IEEE Access, Vol 12, Pp 101016-101052 (2024)
The advent of the Artificial Intelligent Internet of Things (AIoT) has sparked a revolution in the deployment of intelligent systems, driving the need for innovative data processing techniques. Due to escalating data privacy concerns and the immense
Externí odkaz:
https://doaj.org/article/17d63acc325e470eb04d205cd4069407
Publikováno v:
IEEE Access, Vol 12, Pp 88779-88818 (2024)
Situation Awareness (SA) is a process of sensing, understanding and predicting the environment and is an important component in complex systems. The reception of information from the environment tends to be continuous and of a multimodal nature. AI t
Externí odkaz:
https://doaj.org/article/8e0e7f26426045e6a9ead171bc037f4f
Publikováno v:
Biomimetics, Vol 9, Iss 6, p 369 (2024)
The evolution of super-resolution (SR) technology has seen significant advancements through the adoption of deep learning methods. However, the deployment of such models by resource-constrained devices necessitates models that not only perform effici
Externí odkaz:
https://doaj.org/article/42bea929f7ac42769b2cc17ac3900106
Publikováno v:
Future Internet, Vol 16, Iss 5, p 161 (2024)
Situational awareness (SA) is crucial in disaster response, enhancing the understanding of the environment. Social media, with its extensive user base, offers valuable real-time information for such scenarios. Although SA systems excel in extracting
Externí odkaz:
https://doaj.org/article/e92c3c72b7874c5fb515d2ac43e10bfc
Publikováno v:
IEEE Access, Vol 11, Pp 101241-101272 (2023)
The electric network frequency (ENF) represents the transmission frequency of the electrical grid and fluctuates constantly around 50 Hz or 60 Hz, subject to the region. This constant fluctuation, caused by the continuous mismatch in power demand and
Externí odkaz:
https://doaj.org/article/1fabf53e25ee4d0caeade506073c8ecf
Publikováno v:
IEEE Access, Vol 11, Pp 18038-18081 (2023)
Recent technology developments and the numerous availabilities of mobile users, devices and Internet technologies together with the growing focus on reducing traffic congestion and emissions in urban areas have led to the emergence of new paradigms f
Externí odkaz:
https://doaj.org/article/487407debc6d4906b0afa8d5cb9d8baa
Publikováno v:
Future Internet, Vol 16, Iss 3, p 82 (2024)
In the context of smart cities, the integration of artificial intelligence (AI) and the Internet of Things (IoT) has led to the proliferation of AIoT systems, which handle vast amounts of data to enhance urban infrastructure and services. However, th
Externí odkaz:
https://doaj.org/article/d0d91446f6a44912804c66ec7e4f4ba4
Publikováno v:
Sensors, Vol 23, Iss 22, p 9254 (2023)
Binary neural networks (BNNs) are variations of artificial/deep neural network (ANN/DNN) architectures that constrain the real values of weights to the binary set of numbers {−1,1}. By using binary values, BNNs can convert matrix multiplications in
Externí odkaz:
https://doaj.org/article/de9f448c1e854e4aa0cca96622b06f0a
Publikováno v:
Information, Vol 14, Iss 10, p 575 (2023)
This paper proposes a novel multimodal generative adversarial network AVSR (multimodal AVSR GAN) architecture, to improve both the energy efficiency and the AVSR classification accuracy of artificial intelligence Internet of things (IoT) applications
Externí odkaz:
https://doaj.org/article/90bbfd48eb1c44e491d8fd5e4eb26595
Autor:
Kah Phooi Seng, Li-Minn Ang
Publikováno v:
IEEE Access, Vol 10, Pp 59236-59258 (2022)
Recent years have seen deployments of increasingly complex artificial intelligent (AI) and machine learning techniques being implemented on cloud server architectures and embedded into edge computing devices for supporting Internet of Things (IoT) an
Externí odkaz:
https://doaj.org/article/0a57932234ed4e608ae0fed66fa4d80d