Comparative review of the blockchain consensus algorithm between proof of stake (pos) and delegated proof of stake (dpos)
SMS Saad, RZRM Radzi - International Journal of Innovative Computing, 2020 - ijic.utm.my
Blockchain is a public ledger technology to which everyone has access without a central
authority having control. This technology typically gets to use registration and smart contract …
authority having control. This technology typically gets to use registration and smart contract …
A hybrid CEEMD-GMM scheme for enhancing the detection of traffic flow on highways
H Dou, Y Liu, S Chen, H Zhao, H Bilal - Soft Computing, 2023 - Springer
Many highways are acquiring smart transportation systems to improve traffic efficiency,
safety and management. Intelligent transportation systems can monitor traffic congestion by …
safety and management. Intelligent transportation systems can monitor traffic congestion by …
Modeling of dynamical systems through deep learning
P Rajendra, V Brahmajirao - Biophysical Reviews, 2020 - Springer
This review presents a modern perspective on dynamical systems in the context of current
goals and open challenges. In particular, our review focuses on the key challenges of …
goals and open challenges. In particular, our review focuses on the key challenges of …
Fine-grained vessel traffic flow prediction with a spatio-temporal multigraph convolutional network
The accurate and robust prediction of vessel traffic flow is gaining importance in maritime
intelligent transportation system (ITS), such as vessel traffic services, maritime spatial …
intelligent transportation system (ITS), such as vessel traffic services, maritime spatial …
Multitask hypergraph convolutional networks: A heterogeneous traffic prediction framework
J Wang, Y Zhang, L Wang, Y Hu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Traffic prediction methods on a single-source data have achieved excellent results in recent
years, especially the Graph Convolutional Networks (GCN) based models with spatio …
years, especially the Graph Convolutional Networks (GCN) based models with spatio …
SeaBil: Self-attention-weighted ultrashort-term deep learning prediction of ship maneuvering motion
N Wang, X Kong, B Ren, L Hao, B Han - Ocean Engineering, 2023 - Elsevier
Accurate prediction of motion dynamics fundamentally promotes the autonomy of intelligent
ships, but faces great challenges in modeling mechanism. In this paper, to establish data …
ships, but faces great challenges in modeling mechanism. In this paper, to establish data …
A combined deep learning method with attention‐based LSTM model for short‐term traffic speed forecasting
Short‐term traffic speed prediction is a promising research topic in intelligent transportation
systems (ITSs), which also plays an important role in the real‐time decision‐making of traffic …
systems (ITSs), which also plays an important role in the real‐time decision‐making of traffic …
Short-term traffic flow prediction based on secondary hybrid decomposition and deep echo state networks
G Hu, RW Whalin, TA Kwembe, W Lu - Physica A: Statistical Mechanics and …, 2023 - Elsevier
Short-term traffic flow prediction is a significant and challenging research topic as it is closely
related to the application of intelligent transportation systems. Due to the variable and …
related to the application of intelligent transportation systems. Due to the variable and …
On the use of dynamic mode decomposition for time-series forecasting of ships operating in waves
In order to guarantee the safety of payload, crew, and structures, ships must exhibit good
seakee**, maneuverability, and structural-response performance, also when they operate …
seakee**, maneuverability, and structural-response performance, also when they operate …
[HTML][HTML] Koopman theory meets graph convolutional network: Learning the complex dynamics of non-stationary highway traffic flow for spatiotemporal prediction
Reliable and accurate traffic flow prediction is crucial for the construction and operation of
smart highways, supporting scientific traffic management and planning. However, accurately …
smart highways, supporting scientific traffic management and planning. However, accurately …