The rapid emergence of low-power embedded devices and modern machine learning (ML) algorithms has created a new Internet of Things (IoT) era where lightweight ML frameworks …
In recent times, the machine learning (ML) community has recognized the deep learning (DL) computing model as the Gold Standard. DL has gradually become the most widely …
X Cao, Y Li, X Xiong, J Wang - Sensors, 2022 - mdpi.com
The Satellite network is an important part of the global network. However, the complex architecture, changeable constellation topology, and frequent inter-satellite connection …
Recent advancements in technology now allow for the generation of massive quantities of data. There is a growing need to transmit this data faster and more securely such that it …
S Wang, W Wang, Z Jia, C Pang - Computer Systems Science & …, 2022 - cdn.techscience.cn
With the rapid development and popularization of 5G and the Internet of Things, a number of new applications have emerged, such as driverless cars. Most of these applications are time …
F Morishita, N Kato, S Okubo, T Toi… - 2021 Symposium on …, 2021 - ieeexplore.ieee.org
This paper presents a CMOS image sensor and an AI accelerator to realize surveillance camera systems based on edge computing. For CMOS image sensors to be used for …
SF Ahmed, S Shuravi, S Afrin, SJ Rafa… - arXiv preprint arXiv …, 2023 - arxiv.org
The Internet of Things (IoT) is regarded as an improved communication system that has revolutionized traditional lifestyles. To function successfully, IoT requires a combination of …
Abstract The Internet of Things (IoT) and associated capabilities are becoming indispensable in the planning, operation, and administration of intricate systems of all sizes …
A Alzu'bi, A Alomar, S Alkhaza'leh… - Tsinghua Science …, 2024 - ieeexplore.ieee.org
The healthcare industry is rapidly adapting to new computing environments and technologies. With academics increasingly committed to developing and enhancing …