Machine learning in energy economics and finance: A review
Abstract Machine learning (ML) is generating new opportunities for innovative research in
energy economics and finance. We critically review the burgeoning literature dedicated to …
energy economics and finance. We critically review the burgeoning literature dedicated to …
Graph neural networks in IoT: a survey
The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …
Attack classification of an intrusion detection system using deep learning and hyperparameter optimization
A network intrusion detection system (NIDS) is a solution that mitigates the threat of attacks
on a network. The success of a NIDS depends on the success of its algorithm and the …
on a network. The success of a NIDS depends on the success of its algorithm and the …
A survey of 5G network systems: challenges and machine learning approaches
Abstract 5G cellular networks are expected to be the key infrastructure to deliver the
emerging services. These services bring new requirements and challenges that obstruct the …
emerging services. These services bring new requirements and challenges that obstruct the …
Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area
This research aims at investigating the capability of Keras's deep learning models with three
robust optimization algorithms (stochastic gradient descent, root mean square propagation …
robust optimization algorithms (stochastic gradient descent, root mean square propagation …
Using embedded feature selection and CNN for classification on CCD-INID-V1—a new IoT dataset
As Internet of Things (IoT) networks expand globally with an annual increase of active
devices, providing better safeguards to threats is becoming more prominent. An intrusion …
devices, providing better safeguards to threats is becoming more prominent. An intrusion …
A traffic prediction enabled double rewarded value iteration network for route planning
J Li, D Fu, Q Yuan, H Zhang, K Chen… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Effective route planning is the key to improving transportation efficiency. By leveraging the in-
depth knowledge of road topology and traffic trends, experienced drivers (eg, taxi drivers) …
depth knowledge of road topology and traffic trends, experienced drivers (eg, taxi drivers) …
Modelling water richness and habitat suitability of the wetlands and measuring their spatial linkages in mature Ganges delta of India
S Debanshi, S Pal - Journal of Environmental Management, 2020 - Elsevier
Present study has attempted to measure Water Richness (WR) and Wetland Habitat
Suitability (WHS) in deltaic environment and assessed their spatial linkages. Water richness …
Suitability (WHS) in deltaic environment and assessed their spatial linkages. Water richness …
Collaboration in participant-centric federated learning: A game-theoretical perspective
Federated learning (FL) is a promising distributed framework for collaborative artificial
intelligence model training while protecting user privacy. A bootstrapping component that …
intelligence model training while protecting user privacy. A bootstrapping component that …
Smart contract classification with a bi-lstm based approach
G Tian, Q Wang, Y Zhao, L Guo, Z Sun, L Lv - IEEE Access, 2020 - ieeexplore.ieee.org
With the number of smart contracts growing rapidly, retrieving the relevant smart contracts
quickly and accurately has become an important issue. A key step for recognizing the …
quickly and accurately has become an important issue. A key step for recognizing the …