Although sea and ocean waves have been widely acknowledged to have the potential of providing sustainable and renewable energy, the emergence of a self-sufficient and mature industry is still lacking.An essential condition for reaching economic viability is to minimise the cost of electricity, as opposed to simply maximising the converted energy at
Data Driven Tools and Methods for Microtexture Classification and Dwell Fatigue Life Prediction in Dual Phase Titanium Alloys
Microtexture has been linked to large reductions in cold dwell fatigue (CDF) life of specific Bike Parts - Pedals - Platform dual phase titanium alloy aeroengine components.A recently completed Metals Affordability Initiative (MAI) funded program led by Pratt & Whitney (P&W) and includes ATI Forged Products, Boeing, GE Aviation, Rolls Royce (RR), A
An Update on the Complexity and Importance of Accurately Diagnosing Post-Traumatic Stress Disorder and Comorbid Traumatic Brain Injury
As awareness for diagnosing and screening patients for trauma has grown, more effective evidence-based treatments are available to treat post-traumatic stress disorder (PTSD).Despite these gains, several patients are non-responsive to care and research has shifted to determining barriers for cure or improvement.With the advent of modern warfare, th
Entropy Churn Metrics for Fault Prediction in Software Systems
Fault prediction is an important research area that aids software development and the maintenance process.It is a field that has been continuously improving its approaches in order to reduce the fault resolution time and effort.With Fillet an aim to contribute towards building new approaches for fault prediction, this paper proposes Entropy Churn M
Progressive Bitwidth Assignment Approaches for Efficient Capsule Networks Quantization
Capsule Networks (CapsNets) are a class of neural Fork network architectures that can be used to more accurately model hierarchical relationships due to their hierarchical structure and dynamic routing algorithms.However, their high accuracy comes at the cost of significant memory and computational resources, making them less feasible for deploymen