Current spacecraft micrometeoroid and orbital debris impact risk assessments utilize semi-
empirical equations to describe the protection afforded by a spacecraft component (eg …

In their daily business, bank branches should register their operations with several systems
in order to share information with other branches and to have a central repository of records …

Abstract Machine learning (ML) is well suited for the prediction of high-complexity, high-
dimensional problems such as those encountered in terminal ballistics. We evaluate the …

The ballistic performance of thin concrete slabs is influenced by impact velocity, slab
thickness, steel rebar content, bullet mass and prestress level. We aim to quantitatively …

People in software development teams are crucial in order to gain and retain strategic
advantage inside a highly competitive market. As a result, human factors have gained …

Extreme learning machine (ELM) has several interesting and significant features. In this
paper, a novel pruned Stacking ELMs (PS-ELMs) algorithm for time series prediction (TSP) …

Academia and practitioners confirm that software project effort prediction is crucial for an
accurate software project management. However, software development effort estimation is …

To enhance the approximation and generalization ability of classical artificial neural network
(ANN) by employing the principles of quantum computation, a quantum-inspired neuron …

The Stirling cryocoolers are widely used in the military and the aerospace fields due to many
advantages such as high efficiency and compact structure. The output performance is …

One of the parameters that are usually stored for mammograms is the BI‐RADS density,
which gives an idea of the breast tissue composition. In this work, we study the effect of BI …