Now showing items 1-3 of 3
Versatility of artificial hydrocarbon networks for supervised learning
(Springer Verlag, 2019)
Surveys on supervised machine show that each technique has strengths and weaknesses that make each of them more suitable for a particular domain or learning task. No technique is capable to tackle every supervised learning ...
An indoor predicting climate conditions approach using Internet-of-things and artificial hydrocarbon networks
(Elsevier B.V., 2019)
The prediction and understanding of environmental conditions are of great importance to prevent and analyze changes in environment, supporting meteorological based sectors, such as agriculture or smart cities. In that ...
A concise review on sensor signal acquisition and transformation applied to human activity recognition and human–robot interaction
(SAGE Publications Ltd., 2019)
Human activitiy recognition deals with the integration of sensing and reasoning aiming to understand better people’s actions. Moreover, it plays an important role in human interaction, human–robot interaction, and ...