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Nature-inspired meta-heuristics approaches for charging plug-in hybrid electric vehicle
(Springer New York LLC., 2020-10)Currently, there is a remarkable focus on green technologies for taking steps towards more use of renewable energy sources within the sector of transportation and also decreasing pollution. At this point, employment of ... -
A non-contact heart rate estimation method using video magnification and neural networks
(Institute of Electrical and Electronics Engineers Inc., 2020-06)Heart rate (HR) monitoring is a significant task in many medical, sports and aged care in assisted living applications, among other disciplines. In the literature, several works have reported effectiveness in addressing ... -
A price-maker/price-taker model for the operation of battery storage systems in electricity markets
(Institute of Electrical and Electronics Engineers Inc., 2019-11)The goal of this paper is to develop models for estimating the potential profit of a battery storage system that provides multiple services in a competitive electricity market. We assume the size of the battery is small ... -
Evolving fuzzy neural hydrocarbon networks : a model based on organic compounds
(Elsevier B.V., 2020-09)This paper presents a new evolving intelligent model capable of combining the techniques and concepts of artificial neural networks, fuzzy systems and artificial hydrocarbon networks, in which the latter aggregates concepts ... -
Distributed evolutionary learning control for mobile robot navigation based on virtual and physical agents
(Elsevier B.V., 2019)This paper presents a distributed evolutionary learning control based on social wound treatment for mobile robot navigation using an integrated multi-robot system comprised of simulated and physical robots. To do so, this ... -
A 2020 perspective on “A novel methodology for optimizing display advertising campaigns using genetic algorithms”
(Elsevier B.V., 2020)Online advertising has become the most important area of publicity. From a post-2020 perspective, we identify three trends in online advertising comprising: the rapid evolution of online advertising mainly over mobile ... -
A contactless respiratory rate estimation method using a hermite magnification technique and convolutional neural networks
(MDPI AG, 2020)The monitoring of respiratory rate is a relevant factor in medical applications and day-to-day activities. Contact sensors have been used mostly as a direct solution and they have shown their effectiveness, but with some ... -
Design and analysis for fall detection system simplification
(NLM (Medline), 2020)This paper presents a methodology based on multimodal sensors to configure a simple, comfortable and fast fall detection and human activity recognition system that can be easily implemented and adopted. The methodology is ... -
Stochastic parallel extreme artificial hydrocarbon networks : an implementation for fast and robust supervised machine learning in high-dimensional data
(Elsevier Ltd., 2020-03)Artificial hydrocarbon networks (AHN) – a supervised learning method inspired on organic chemical structures and mechanisms – have shown improvements in predictive power and interpretability in comparison with other ... -
Aplicación del método scoring para la clasificación integral de clientes
(Universidad de Tarapacá, 2019-09)There are entities that provide on-site services, where the exchange of value occurs in the client’s facilities, involving a greater number of resources. In the work, two entities are presented, an offer “turnkey” security ... -
Characterization and determination of the toxicological risk of biochar using invertebrate toxicity tests in the state of Aguascalientes, Mexico
(MDPI AG, 2019)Following a quantitative analysis of adequate feedstock, comprising 11 woody biomass species, four biochars were generated using a Kon-Tiki flame curtain kiln in the state of Aguascalientes, Mexico. Despite the high quality ... -
A hybrid fuzzy-molecular controller enhanced with evolutionary algorithms : a case study in a one-leg mechanism
(Elsevier Ltd., 2019-11)Intelligent control systems are able to work well in uncertain nonlinear systems, mainly for: changes in the operating point, presence of environmental noise and disturbances, uncertainty in sensor measurements, miscalibration, ... -
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 ... -
Investigation of miscanthus and sunflower stalk fiber-reinforced composites for insulation applications
(Hindawi Limited, 2019)The development of materials based on renewable and low-cost resources is today's crucial interest for civil engineering. This work intends to investigate two new vegetable fibers as composite reinforcement for insulation ... -
Predefined-time robust contour tracking of robotic manipulators
(Elsevier Ltd, 2019)Robotic tasks are primarily defined to comply to spatial and time constraints, and in several of such tasks, it is required to track a nominal contour depending just on spatial coordinates, without involving the time ... -
A robust control scheme for renewable-based distributed generators using artificial hydrocarbon networks
(MDPI AG, 2019)Distributed generators (DGs) based on renewable energy systems such as wind turbines, solar panels, and storage systems, are key in transforming the current electric grid into a green and sustainable network. These DGs are ... -
An intelligent failure detection on a wireless sensor network for indoor climate conditions
(MDPI AG, 2019)Wireless sensor networks (WSN) involve large number of sensor nodes distributed at diverse locations. The collected data are prone to be inaccurate and faulty due to internal or external influences, such as, environmental ... -
UP-fall detection dataset : a multimodal approach
(NLM (Medline), 2019)Falls, especially in elderly persons, are an important health problem worldwide. Reliable fall detection systems can mitigate negative consequences of falls. Among the important challenges and issues reported in literature ... -
Fuzzy aggregation of similarity values for electronic health record interoperability
(IOS Press, 2019)Schema matching is used for data integration, mediation, and conversion between heterogeneous sources. Nevertheless, mappings identified with an automatic or semi-automatic process can never be completely certain. In a ... -
A novel artificial organic control system for mobile robot navigation in assisted living using vision-and neural-based strategies
(Hindawi Limited, 2018)Robots in assisted living (RAL) are an alternative to support families and professional caregivers with a wide range of possibilities to take care of elderly people. Navigation of mobile robots is a challenging problem due ...
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