ListarInvestigaciones por tema "Learning systems"
Mostrando ítems 1-13 de 13
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A machine learning model for emotion recognition from physiological signals
(Elsevier Ltd, 2020)Emotions are affective states related to physiological responses. This study proposes a model for recognition of three emotions: amusement, sadness, and neutral from physiological signals with the purpose of developing a ... -
A machine learning model for occupancy rates and demand forecasting in the hospitality industry
(Springer Verlag, 2016)Occupancy rate forecasting is a very important step in the decision-making process of hotel planners and managers. Popular strategies as Revenue Management feature forecasting as a vital activity for dynamic pricing, and ... -
A machine learning model for triage in lean pediatric emergency departments
(Springer Verlag, 2016)High demand periods and under-staffing due to financial constraints cause Emergency Departments (EDs) to frequently exhibit over-crowding and slow response times to provide adequate patient care. In response, Lean Thinking ... -
Analysis and Classification of Evoked Potentials in Response to Familiar and Unfamiliar Faces
(Institute of Electrical and Electronics Engineers Inc., 2018)Brain activity during perception and recognition of faces have been studied by researchers with the purpose to develop brain-computer interfaces and to study neurological disorders. In this paper, we analyzed evoked ... -
Deep learning architectures for the analysis and classification of brain tumors in MR images
(Cartagena de Indias, 2020-11-03)The need to make timely and accurate diagnoses of brain diseases has posed challenges to computer-aided diagnosis systems. In this field, advances in deep learning techniques play an important role, as they carry out ... -
Differential diagnosis of hemorrhagic fevers using ARTMAP
(Springer Verlag, 2012)The differential diagnosis of endemic hemorrhagic fevers in tropical countries is by no means an easy task for medical practitioners. Several diseases often overlap with others in terms of signs and symptoms, thus making ... -
Early prediction of severe maternal morbidity using machine learning techniques
(Springer Verlag, 2016)Severe Maternal Morbidity is a public health issue. It may occur during pregnancy, delivery, or puerperium due to conditions (hypertensive disorders, hemorrhages, infections and others) that put in risk the women’s or ... -
Evaluating Features Selection on NSL-KDD Data-Set to Train a Support Vector Machine-Based Intrusion Detection System
(Institute of Electrical and Electronics Engineers Inc., 2019)The integrity of information and services is one of the more evident concerns in the world of global information security, due to the fact that it has economic repercussions on the digital industry. For this reason, big ... -
Kernel-based machine learning models for the prediction of dengue and chikungunya morbidity in Colombia
(Springer Verlag, 2017)Dengue and Chikungunya fever are two viral diseases of great public health concern in Colombia and other tropical countries as they are both transmitted by Aedes mosquitoes, which are endemic to this area. In recent years, ... -
Machine learning models for early dengue severity prediction
(Springer Verlag, 2016)Infection by dengue-virus is prevalent and a public health issue in tropical countries worldwide. Also, in developing nations, child populations remain at risk of adverse events following an infection by dengue virus, as ... -
Methodology of data envelopment analysis (DEA) - GLMNEt for assessment and forecasting of financial efficiency in a free trade zone - Colombia
(Centro de Informacion Tecnologica, 2019)This research work proposes a methodology for evaluation and forecasting for companies located in the Industrial Port Zone of the city of Barranquilla, Colombia. Based on an empirical and rational analysis, supported by ... -
Methodology of Machine Learning for the classification and Prediction of users in Virtual Education Environments
(Centro de Informacion Tecnologica, 2019)A methodology to classify and predict users in virtual education environments, studying the interaction of students with the platform and their performance in exams is proposed. For this, the machine learning tools, main ... -
SIDS-DDoS, a Smart Intrusion Detection System for Distributed Denial of Service Attacks
(Springer, 2020)In the last few years, the Digital Services industry has grown tremendously, offering numerous services through the Internet and using a recent concept or business model called cloud computing. For this reason, new threats ...
Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.