A survey on deep learning empowered IoT applications
The Internet of Things (IoT) is widely regarded as a key component of the Internet of the
future and thereby has drawn significant interests in recent years. IoT consists of billions of …
future and thereby has drawn significant interests in recent years. IoT consists of billions of …
[HTML][HTML] A systematic mapping of the advancing use of machine learning techniques for predictive maintenance in the manufacturing sector
The increasing availability of data, gathered by sensors and intelligent machines, is
changing the way decisions are made in the manufacturing sector. In particular, based on …
changing the way decisions are made in the manufacturing sector. In particular, based on …
UAV aided aerial-ground IoT for air quality sensing in smart city: Architecture, technologies, and implementation
As air pollution is becoming the largest environmental health risk, the monitoring of air
quality has drawn much attention in both theoretical studies and practical implementations …
quality has drawn much attention in both theoretical studies and practical implementations …
Edge intelligence in intelligent transportation systems: A survey
Edge intelligence (EI) is becoming one of the research hotspots among researchers, which
is believed to help empower intelligent transportation systems (ITS). ITS generates a large …
is believed to help empower intelligent transportation systems (ITS). ITS generates a large …
AI on the edge: a comprehensive review
W Su, L Li, F Liu, M He, X Liang - Artificial Intelligence Review, 2022 - Springer
With the advent of the Internet of Everything, the proliferation of data has put a huge burden
on data centers and network bandwidth. To ease the pressure on data centers, edge …
on data centers and network bandwidth. To ease the pressure on data centers, edge …
[HTML][HTML] Deep learning for the internet of things: Potential benefits and use-cases
TJ Saleem, MA Chishti - Digital Communications and Networks, 2021 - Elsevier
The massive number of sensors deployed in the Internet of Things (IoT) produce gigantic
amounts of data for facilitating a wide range of applications. Deep Learning (DL) would …
amounts of data for facilitating a wide range of applications. Deep Learning (DL) would …
[引用][C] End-to-end data authentication deep learning model for securing IoT configurations
M Hammad, AM Iliyasu… - Human-centric …, 2022 - … INFORMATION PROCESSING SOC …
A survey on deep learning for challenged networks: Applications and trends
Computer networks are dealing with growing complexity, given the ever-increasing volume
of data produced by all sorts of network nodes. Performance improvements are a non-stop …
of data produced by all sorts of network nodes. Performance improvements are a non-stop …
Deepslicing: collaborative and adaptive cnn inference with low latency
The booming of Convolutional Neural Networks (CNNs) has empowered lots of computer-
vision applications. Due to its stringent requirement for computing resources, substantial …
vision applications. Due to its stringent requirement for computing resources, substantial …
HiveMind: Towards cellular native machine learning model splitting
The increasing processing load of today's mobile machine learning (ML) application
challenges the stringent computation budget of mobile user equipment (UE). With the wide …
challenges the stringent computation budget of mobile user equipment (UE). With the wide …