Dense convolutional network and its application in medical image analysis
T Zhou, XY Ye, HL Lu, X Zheng, S Qiu… - BioMed Research …, 2022 - Wiley Online Library
Dense convolutional network (DenseNet) is a hot topic in deep learning research in recent
years, which has good applications in medical image analysis. In this paper, DenseNet is …
years, which has good applications in medical image analysis. In this paper, DenseNet is …
Cognitive computing and wireless communications on the edge for healthcare service robots
In recent years, we have witnessed dramatic developments of mobile healthcare robots,
which enjoy many advantages over their human counterparts. Previous communication …
which enjoy many advantages over their human counterparts. Previous communication …
Deep learning models for real-time human activity recognition with smartphones
With the widespread application of mobile edge computing (MEC), MEC is serving as a
bridge to narrow the gaps between medical staff and patients. Relatedly, MEC is also …
bridge to narrow the gaps between medical staff and patients. Relatedly, MEC is also …
A review on deep learning for future smart cities
S Bhattacharya, SRK Somayaji… - Internet Technology …, 2022 - Wiley Online Library
The advancements in Information and Communication Technologies (ICT) made the
concept of Smart Cities into reality. In a smart city several Internet of Things (IoT) sensors are …
concept of Smart Cities into reality. In a smart city several Internet of Things (IoT) sensors are …
A ship movement classification based on Automatic Identification System (AIS) data using Convolutional Neural Network
X Chen, Y Liu, K Achuthan, X Zhang - Ocean Engineering, 2020 - Elsevier
With a wide use of AIS data in maritime transportation, there is an increasing demand to
develop algorithms to efficiently classify a ship's AIS data into different movements (static …
develop algorithms to efficiently classify a ship's AIS data into different movements (static …
Recent advances in consensus protocols for blockchain: a survey
As the core of a blockchain system, the consensus mechanism not only helps to maintain the
consistency of node data, but also gets involved in the issuance of tokens and prevention of …
consistency of node data, but also gets involved in the issuance of tokens and prevention of …
Toward offloading internet of vehicles applications in 5G networks
The demand for real-time communication and high performance of the Internet of Vehicles
(IoV) system has caused researches to investigate new techniques in edge computing (EC) …
(IoV) system has caused researches to investigate new techniques in edge computing (EC) …
Spatial-temporal data-driven service recommendation with privacy-preservation
The ever-increasing popularity of web service sharing communities have produced a
considerable amount of web services that share similar functionalities but vary in Quality of …
considerable amount of web services that share similar functionalities but vary in Quality of …
Multi-objective computation offloading for internet of vehicles in cloud-edge computing
Abstract The Internet of Vehicles (IoV) has gained worldwide attentions as it provides the
service of collecting real-time traffic information to improve the road safety. The IoV users …
service of collecting real-time traffic information to improve the road safety. The IoV users …
A semi-supervised deep learning approach for vessel trajectory classification based on AIS data
H Duan, F Ma, L Miao, C Zhang - Ocean & Coastal Management, 2022 - Elsevier
Automatic identification system (AIS) refers to a new type of navigation aid system equipped
in maritime vehicles to monitor ship performance. It provides trajectory information of vessels …
in maritime vehicles to monitor ship performance. It provides trajectory information of vessels …