[HTML][HTML] The application of machine learning in micrometeoroid and orbital debris impact protection and risk assessment for spacecraft
Current spacecraft micrometeoroid and orbital debris impact risk assessments utilize semi-
empirical equations to describe the protection afforded by a spacecraft component (eg …
empirical equations to describe the protection afforded by a spacecraft component (eg …
Automatic detection of relationships between banking operations using machine learning
I González-Carrasco, JL Jiménez-Márquez… - Information …, 2019 - Elsevier
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 …
in order to share information with other branches and to have a central repository of records …
[HTML][HTML] Machine learning for predicting the outcome of terminal ballistics events
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 …
dimensional problems such as those encountered in terminal ballistics. We evaluate the …
Performance of various thin concrete slabs under projectile impact: Sobol's sensitivity analysis with aid of metamodels
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 …
thickness, steel rebar content, bullet mass and prestress level. We aim to quantitatively …
I-Competere: Using applied intelligence in search of competency gaps in software project managers
R Colomo-Palacios, I González-Carrasco… - Information Systems …, 2014 - Springer
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 …
advantage inside a highly competitive market. As a result, human factors have gained …
Selected an stacking ELMs for time series prediction
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) …
paper, a novel pruned Stacking ELMs (PS-ELMs) algorithm for time series prediction (TSP) …
SEffEst: Effort estimation in software projects using fuzzy logic and neural networks
I González-Carrasco, R Colomo-Palacios… - International Journal of …, 2012 - Springer
Academia and practitioners confirm that software project effort prediction is crucial for an
accurate software project management. However, software development effort estimation is …
accurate software project management. However, software development effort estimation is …
[HTML][HTML] Model and algorithm of quantum-inspired neural network with sequence input based on controlled rotation gates
P Li, H Xiao - Applied Intelligence, 2014 - Springer
To enhance the approximation and generalization ability of classical artificial neural network
(ANN) by employing the principles of quantum computation, a quantum-inspired neuron …
(ANN) by employing the principles of quantum computation, a quantum-inspired neuron …
Application of machine learning techniques in operating parameters prediction of Stirling cryocooler
Z Yang, S Liu, Z Li, Z Jiang, C Dong - Cryogenics, 2021 - Elsevier
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 …
advantages such as high efficiency and compact structure. The output performance is …
Study of the effect of breast tissue density on detection of masses in mammograms
A García-Manso, CJ Garcia-Orellana… - … methods in medicine, 2013 - Wiley Online Library
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 …
which gives an idea of the breast tissue composition. In this work, we study the effect of BI …