A survey of time-series prediction for digitally enabled maintenance of electrical grids
The maintenance of electrical grids is crucial for improving their reliability, performance, and
cost-effectiveness. It involves employing various strategies to ensure smooth operation and …
cost-effectiveness. It involves employing various strategies to ensure smooth operation and …
[HTML][HTML] Continuous authentication using deep neural networks ensemble on keystroke dynamics
During the last years, several studies have been proposed about user identification by
means of keystroke analysis. Keystroke dynamics has a lower cost when compared to other …
means of keystroke analysis. Keystroke dynamics has a lower cost when compared to other …
Firefly-based maintainability prediction for enhancing quality of software
G Yenduri, TR Gadekallu - International Journal of Uncertainty …, 2021 - World Scientific
In a broad spectrum, software metrics play a vital role in attribute assessment, which
successively moves software projects. The metrics measure gives many crucial facets of the …
successively moves software projects. The metrics measure gives many crucial facets of the …
Security preservation in industrial medical CPS using Chebyshev map: An AI approach
Abstract Cyber–Physical System (CPS) are widely used in various areas such as industrial
manufacturing, telemedicine and energy, etc. Specifically, industrial medical CPS utilizes …
manufacturing, telemedicine and energy, etc. Specifically, industrial medical CPS utilizes …
[PDF][PDF] Interference mitigation in D2D communication underlying cellular networks: Towards green energy
RZ Ahamad, AR Javed, S Mehmood… - CMC-COMPUTERS …, 2021 - cdn.techscience.cn
Device to Device (D2D) communication is emerging as a new participant promising
technology in 5G cellular networks to promote green energy networks. D2D communication …
technology in 5G cellular networks to promote green energy networks. D2D communication …
Long Short-Term Memory-Based Neural Networks for Missile Maneuvers Trajectories Prediction⋆
Due to its extensive applications in different contexts, moving target tracking has become a
hot topic in the last years, above all in the military field. Specifically, missile tracking research …
hot topic in the last years, above all in the military field. Specifically, missile tracking research …
[HTML][HTML] Neural network-based voting system with high capacity and low computation for intrusion detection in SIEM/IDS systems
N Moukafih, G Orhanou, S El Hajji - Security and Communication …, 2020 - hindawi.com
Integrating intelligence into intrusion detection tools has received much attention in the last
years. The goal is to improve the detection capability within SIEM and IDS systems in order …
years. The goal is to improve the detection capability within SIEM and IDS systems in order …
Relational reasoning using neural networks: a survey
Relational Networks (RN), as one of the most widely used relational reasoning techniques,
have achieved great success in many applications such as action and image analysis …
have achieved great success in many applications such as action and image analysis …
Smart grid stability prediction model using neural networks to handle missing inputs
A smart grid is a modern electricity system enabling a bidirectional flow of communication
that works on the notion of demand response. The stability prediction of the smart grid …
that works on the notion of demand response. The stability prediction of the smart grid …
[PDF][PDF] Machine learning-based model for prediction of power consumption in smart grid.
An electric grid consists of transformers, generation centers, communication links, control
stations, and distributors. Collectively these components help in moving power from one …
stations, and distributors. Collectively these components help in moving power from one …