Edge computing with artificial intelligence: A machine learning perspective

H Hua, Y Li, T Wang, N Dong, W Li, J Cao - ACM Computing Surveys, 2023 - dl.acm.org
Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …

Deep learning in the industrial internet of things: Potentials, challenges, and emerging applications

RA Khalil, N Saeed, M Masood, YM Fard… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …

Deep learning for multigrade brain tumor classification in smart healthcare systems: A prospective survey

K Muhammad, S Khan, J Del Ser… - … on Neural Networks …, 2020 - ieeexplore.ieee.org
Brain tumor is one of the most dangerous cancers in people of all ages, and its grade
recognition is a challenging problem for radiologists in health monitoring and automated …

Towards edge computing in intelligent manufacturing: Past, present and future

G Nain, KK Pattanaik, GK Sharma - Journal of Manufacturing Systems, 2022 - Elsevier
Abstract Industry 4.0 (I4. 0) is the fourth industrial revolution and a synonym for intelligent
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …

SAFA: A semi-asynchronous protocol for fast federated learning with low overhead

W Wu, L He, W Lin, R Mao, C Maple… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Federated learning (FL) has attracted increasing attention as a promising approach to
driving a vast number of end devices with artificial intelligence. However, it is very …

Improved YOLOv4 marine target detection combined with CBAM

H Fu, G Song, Y Wang - Symmetry, 2021 - mdpi.com
Marine target detection technology plays an important role in sea surface monitoring, sea
area management, ship collision avoidance, and other fields. Traditional marine target …

Deep learning for the industrial internet of things (iiot): A comprehensive survey of techniques, implementation frameworks, potential applications, and future directions

S Latif, M Driss, W Boulila, ZE Huma, SS Jamal… - Sensors, 2021 - mdpi.com
The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast
communication protocols, and efficient cybersecurity mechanisms to improve industrial …

A survey on applications of artificial intelligence in fighting against COVID-19

J Chen, K Li, Z Zhang, K Li, PS Yu - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
The COVID-19 pandemic caused by the SARS-CoV-2 virus has spread rapidly worldwide,
leading to a global outbreak. Most governments, enterprises, and scientific research …

Anomaly detection using edge computing in video surveillance system

DR Patrikar, MR Parate - International Journal of Multimedia Information …, 2022 - Springer
The current concept of smart cities influences urban planners and researchers to provide
modern, secured and sustainable infrastructure and gives a decent quality of life to its …

Adaptive focus for efficient video recognition

Y Wang, Z Chen, H Jiang, S Song… - proceedings of the …, 2021 - openaccess.thecvf.com
In this paper, we explore the spatial redundancy in video recognition with the aim to improve
the computational efficiency. It is observed that the most informative region in each frame of …