artificial neural network

This thesis demonstrates the application of five machine learning regression models for predicting half-hour ahead solar irradiance and wind speed and compares the models’ performances. Historical meteorological data from 2016 to 2019 are collected from the National Renewable En…

An efficient and safe road network secures the nation’s economy and prosperity by providing public mobility and freight transport. Maintenance and rehabilitation of the road network cost billions of dollars annually. Road and highway infrastructures performance in any country is…

In general, ECG compression techniques should achieve the following conflicting objectives: (i) Reduce the amount of digitized ECG data as much possible with less implementation overheads associated with it, (ii) Preserve the diagnostic information content in the reconstructed s…

This thesis presents an accurate and robust method to determine the angular position of a rotary manipulator using artificial neural network (ANN). A bias type, single degree of freedom rotary manipulator actuated by shape memory alloy (SMA) is used. During the operation of rota…

Work-related Musculoskeletal Disorders (WMSDs) are common in working areas, and impact the health of the working population in several industries. The influence of WMSDs can lead to injuries to the soft tissues of human bodies, including muscles, tendons, ligaments, and nerves. …

The vast majority of products and processes in industry and academia require human interaction. Thus, digital human models (DHMs) are becoming critical for improved designs, injury prevention, and a better understanding of human behavior. Although many capabilities in the DHM fi…

This thesis describes the use of a Real-Time Evolutionary Algorithm (RTEA) to optimise an Artificial Neural Network (ANN) on-line (in this context “on-line” means while it is in use). Traditionally, Evolutionary Algorithms (Genetic Algorithms, Evolutionary Strategies and Evoluti…

The properties of composite materials are strongly dependent on the test strain rate and temperature due to their viscoelastic nature. Their viscoelasticity is often nonlinear. Such complex behavior makes it very challenging and time consuming to characterize the composite mater…

Direct metal laser sintering (DMLS) is a widely used powder bed fusion (PBF) additive manufacturing (AM) technology that offers extensive capabilities to fabricate complex metallic components. In the DMLS process, part fabrication involves small moving melt-pools formed by the i…