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Microgrid energy management and monitoring systems: A comprehensive review
Microgrid (MG) technologies offer users attractive characteristics such as enhanced power
quality, stability, sustainability, and environmentally friendly energy through a control and …
quality, stability, sustainability, and environmentally friendly energy through a control and …
A review on techno-economic study for supporting building with PV-Grid-connected systems under Saudi regulations
As the demand for electricity continues to grow in Saudi Arabia, finding ways to increase
power generation becomes increasingly important. However, conventional power …
power generation becomes increasingly important. However, conventional power …
Breast cancer prediction using fine needle aspiration features and upsampling with supervised machine learning
Simple Summary Breast cancer is prevalent in women and the second leading cause of
death. Conventional breast cancer detection methods require several laboratory tests and …
death. Conventional breast cancer detection methods require several laboratory tests and …
Multi-agent-based fault location and cyber-attack detection in distribution system
Accurate fault location is challenging due to the distribution network's various branches,
complicated topology, and the increasing penetration of distributed energy resources …
complicated topology, and the increasing penetration of distributed energy resources …
[HTML][HTML] Denial of service attack classification using machine learning with multi-features
The exploitation of internet networks through denial of services (DoS) attacks has
experienced a continuous surge over the past few years. Despite the development of …
experienced a continuous surge over the past few years. Despite the development of …
Image watermarking using least significant bit and canny edge detection
With the advancement in information technology, digital data stealing and duplication have
become easier. Over a trillion bytes of data are generated and shared on social media …
become easier. Over a trillion bytes of data are generated and shared on social media …
A performance comparison of machine learning models for stock market prediction with novel investment strategy
Stock market forecasting is one of the most challenging problems in today's financial
markets. According to the efficient market hypothesis, it is almost impossible to predict the …
markets. According to the efficient market hypothesis, it is almost impossible to predict the …
[HTML][HTML] White blood cell classification using texture and RGB features of oversampled microscopic images
White blood cell (WBC) type classification is a task of significant importance for diagnosis
using microscopic images of WBC, which develop immunity to fight against infections and …
using microscopic images of WBC, which develop immunity to fight against infections and …
[HTML][HTML] Railway track fault detection using selective MFCC features from acoustic data
Railway track faults may lead to railway accidents and cause human and financial loss.
Spatial, temporal, and weather elements, and wear and tear, lead to ballast, loose nuts …
Spatial, temporal, and weather elements, and wear and tear, lead to ballast, loose nuts …
[HTML][HTML] Cloud iaas optimization using machine vision at the iot edge and the grid sensing algorithm
Security grids consisting of High-Definition (HD) Internet of Things (IoT) cameras are gaining
popularity for organizational perimeter surveillance and security monitoring. Transmitting HD …
popularity for organizational perimeter surveillance and security monitoring. Transmitting HD …