New research has highlighted a shortfall in the Standard Model (SM) because it predicts
neutrinos to have zero mass. However, recent experiments on neutrino oscillation have …

Because of the limitations of previous studies on a fall detection system (FDS) based on
wearable and ambient devices and visible light and depth cameras, the research using …

Neural network is widely used nowadays as it shows great result in solving the data
classification and regression problems. The neuron is a basic unit in the artificial neural …

Superior power quality and less transmission loss are features of HVDC transmission.
However, fault location and clearing technology are less advanced compared to their AC …

Battery Management System (BMS) is a critical component in modern electrical technology.
The exact knowledge of the state of health and capacity impact is useful for the estimation …

This paper compares two models, PSO-ANN and PCASVR, for predicting pipeline corrosion.
PSO-ANN uses Particle Swarm Optimization, PCA-SVR uses Principal Component Analysis …

The stability and convergence of PSO is a well-proven result from the perspective of
dynamical systems. We have further analysed PSO from the perspective of chaos theory and …

For proper designing and development of solar photovoltaic system, forecasting of solar
energy becomes very important. Power developed by the solar photovoltaic system depends …

This paper introduces AdaSwarm, a novel gradientfree optimizer which has similar or even
better performance than the Adam optimizer adopted in neural networks. In order to support …

This research presents the development of an Expert System to predict Canned Motor Pump
(CMP) Status by applying a machine learning (ML) algorithm with domain expert knowledge …