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Performance analysis of the ubiquitous and emergent properties of an autonomic reflective middleware for smart cities
(Springer, 2020-01-01)
One of the biggest challenges in a Smart City is how to describe and dispose of the enormous and multiple sources of information, and how to share and merge it into a single infrastructure, in a timely and correct manner. ...
The use of cardiac autonomic responses to aerobic exercise in elderly stroke patients: Functional rehabilitation as a public health policy
(2021-11-01)
Background and purpose: The development of public policies must be guided by full knowledge of the health–disease process of the population. Aerobic exercises are recommended for rehabilitation in stroke patients, and have ...
Influence of the techniques for autonomous work in listening comprehension
(Universidad de Guayaquil. Facultad de Filosofía, Letras y Ciencias de la Educación., 2017)
This research considers the influence of the techniques for autonomous
work to improve the listening comprehension of the students in the tenth
year “A” of Colegio Experimental Rita Lecumberri de Guayaquil, in the
academic ...
Knowledge capitalization in the automotive industry using an ontology based on the ISO/TS 16949 standard
(2009)
In most manufacturing industries, the human resources department has the responsibility for training new employees for their new roles and duties. Special instructors, time and several other related resources considered ...
Knowledge capitalization in the automotive industry using an ontology based on the ISO/TS 16949 standard
(2009)
In most manufacturing industries, the human resources department has the responsibility for training new employees for their new roles and duties. Special instructors, time and several other related resources considered ...
MABUP: multi level autonomic business process
(Universidade Federal de PernambucoUFPEBrasilPrograma de Pos Graduacao em Ciencia da Computacao, 2019)
Accelerating decentralized reinforcement learning of complex individual behaviors
(Elsevier, 2019)
Many Reinforcement Learning (RL) real-world applications have multi-dimensional action spaces which suffer from the combinatorial explosion of complexity. Then, it may turn infeasible to implement Centralized RL (CRL) ...