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Analysis of Knowledge Management in the Context of Projects in Colombia: Subject Area: (Knowledge Management and Project Management)
(Springer Science and Business Media Deutschland GmbH, 2021)
This research work conducted a meticulous analysis about the Knowledge Management (KM) in the context of projects in Colombia, with the aim of determinate the way organizations carryout related activities and practices ...
Women in science and technology studies. A study about the influence of parents on their children's choice of speciality. And about the trend of the different specialities in Spanish students
(IEEE Computer Society, 2021)
This research investigates the reasons for the lack of enrollment of women in science careers, a strong trend in Spain and many other countries. One of the branches of knowledge in which this lack of women is most noticeable ...
Web access experiences of people with Down syndrome
(2021)
Social integration is now the norm for many children and adults with Down syndrome. Many persons with Down syndrome are interested in being active members of society. Social isolation is experienced by around 6% of the ...
CreaMe: Human augmentation platform for the creation of training in educational lakes inherent to dangerous situations
(IEEE Computer Society, 2021)
Human Augmentation is a field of science that seeks to improve human capabilities and productivity through the application of technologies. The prevention of occupational risks is one of the areas where such technologies ...
Introduction to the special section on advances of machine learning in cybersecurity (VSI-mlsec)
(Computers and Electrical Engineering, 2022)
With the rapid advancement of emerging technologies, such as Internet of Things (IoT), cloud computing, and many more, a huge amount of data is generated and processed in daily life. As these technologies are based on the ...
The Application of Supervised and Unsupervised Computational Predictive Models to Simulate the COVID19 Pandemic
(Epidemic Analytics for Decision Supports in COVID19 Crisis, 2022)
The application of different tools for predicting COVID19 cases spreading has been widely considered during the pandemic. Comparing different approaches is essential to analyze performance and the practical support they ...
Analysis of the COVID19 Pandemic Behaviour Based on the Compartmental SEAIRD and Adaptive SVEAIRD Epidemiologic Models
(Epidemic Analytics for Decision Supports in COVID19 Crisis, 2022)
A significant number of people infected by COVID19 do not get sick immediately but become carriers of the disease. These patients might have a certain incubation period. However, the classical compartmental model, SEIR, ...
The Comparison of Different Linear and Nonlinear Models Using Preliminary Data to Efficiently Analyze the COVID-19 Outbreak
(Epidemic Analytics for Decision Supports in COVID19 Crisis, 2022)
The COVID-19 pandemic spread generated an urgent need for computational systems to model its behavior and support governments and healthcare teams to make proper decisions. There are not many cases of global pandemics in ...
Probabilistic Forecasting Model for the COVID-19 Pandemic Based on the Composite Monte Carlo Model Integrated with Deep Learning and Fuzzy System
(Epidemic Analytics for Decision Supports in COVID19 Crisis, 2022)
There are several techniques to support simulation of time series behavior. In this chapter, the approach will be based on the Composite Monte Carlo (CMC) simulation method. This method is able to model future outcomes of ...
Classification of Breast Thermal Images into Healthy/Cancer Group Using Pre-Trained Deep Learning Schemes
(Procedia Computer Science, 2022)
In the women's community, Breast Cancer (BC) is a severe disease. The World Health Organization reported in 2020 that 2.26 million deaths occur due to BC. BC is curable if detected early. Since thermal imaging is non-invasive ...
