Anomaly detection in blockchain networks: A comprehensive survey
MU Hassan, MH Rehmani… - … Communications Surveys & …, 2022 - ieeexplore.ieee.org
Over the past decade, blockchain technology has attracted a huge attention from both
industry and academia because it can be integrated with a large number of everyday …
industry and academia because it can be integrated with a large number of everyday …
Integrated structural health monitoring in bridge engineering
Integrated structural health monitoring (SHM) uses the mechanism analysis, monitoring
technology and data analytics to diagnose the classification, location and significance of …
technology and data analytics to diagnose the classification, location and significance of …
Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection
Structural health monitoring (SHM) techniques have been widely used in long-span bridges.
However, due to limitations of computational ability and data analysis methods, the …
However, due to limitations of computational ability and data analysis methods, the …
Load forecasting models in smart grid using smart meter information: a review
F Dewangan, AY Abdelaziz, M Biswal - Energies, 2023 - mdpi.com
The smart grid concept is introduced to accelerate the operational efficiency and enhance
the reliability and sustainability of power supply by operating in self-control mode to find and …
the reliability and sustainability of power supply by operating in self-control mode to find and …
On the class overlap problem in imbalanced data classification
Class imbalance is an active research area in the machine learning community. However,
existing and recent literature showed that class overlap had a higher negative impact on the …
existing and recent literature showed that class overlap had a higher negative impact on the …
Towards big data driven construction industry
The construction industry is currently going through an intelligent revolution. The profound
transformation of the Industry 4.0 era is made possible by contemporary technologies such …
transformation of the Industry 4.0 era is made possible by contemporary technologies such …
Driven by data or derived through physics? a review of hybrid physics guided machine learning techniques with cyber-physical system (cps) focus
A multitude of cyber-physical system (CPS) applications, including design, control,
diagnosis, prognostics, and a host of other problems, are predicated on the assumption of …
diagnosis, prognostics, and a host of other problems, are predicated on the assumption of …
Machine learning for streaming data: state of the art, challenges, and opportunities
Incremental learning, online learning, and data stream learning are terms commonly
associated with learning algorithms that update their models given a continuous influx of …
associated with learning algorithms that update their models given a continuous influx of …
Latest trends on heart disease prediction using machine learning and image fusion
Disease diagnosis is the most critical health-care function. If an illness is diagnosed before
the normal or planned period it can save people's lives. Classification method of machine …
the normal or planned period it can save people's lives. Classification method of machine …
[PDF][PDF] Review of data preprocessing techniques in data mining
SA Alasadi, WS Bhaya - Journal of Engineering and Applied …, 2017 - academia.edu
Data mining is the process of extraction useful patterns and models from a huge dataset.
These models and patterns have an effective role in a decision making task. Data mining …
These models and patterns have an effective role in a decision making task. Data mining …