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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 ...
Automatic detection of lung nodule in CT scan slices using CNN segmentation schemes: A study
(Procedia Computer Science, 2022)
The lung is one of the prime respiratory organs in human physiology, and its abnormality will severely disrupt the respiratory system. Lung Nodule (LN) is one of the abnormalities, and early screening and treatment are ...
Deep and handcrafted feature supported diabetic retinopathy detection: A study
(Procedia Computer Science, 2022)
The eye is the prime sensory organ in physiology, and the abnormality in the eye severely influences the vision system. Therefore, eye irregularity is commonly assessed using imaging schemes, and Fundus Retinal Image (FRI) ...
Preface
(Procedia Computer Science, 2022)
We are pleased to present this special issue of Elsevier’s Procedia Computer Science Journal, which consists of the
proceedings of the international conference on Machine Learning and Data Engineering (ICMLDE 2022).
Preface
(EAI/Springer Innovations in Communication and Computing, 2022)
[Summary not available]
Teaching Augmented Reality
(Augmented Reality: Reflections on Its Contribution to Knowledge Formation, 2017)
In this chapter, we present a brief description of the concepts that
delimit the teaching/learning process of the subject of Augmented Reality and
Accessibility, a subject provided in the degree of Computer Engineering ...
Guest editorial of the special issue 'human-centric, decentralised, and hyper automated cyber-physical systems'
(Journal of Control and Decision, 2023)
The emergence of affordable communication and computer technologies has brought virtual and physical
space closer together in recent years. Cyber-physical
systems, which are the outcome of this confluence,
have changed ...
Initial Approach for Construction of a Public Dataset for Emotional Analysis Through Brain-Computer Interfaces and Second Language Platforms
(IEEE Global Engineering Education Conference, EDUCON, 2023)
In recent years, the deepening of the role of emotions in education has increased, since it has been shown that emotions influence what we learn and retain, in different areas such as learning a second language. Likewise, ...