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Automatic Threat Detection in Single, Stereo (Two) and Multi View X-Ray Images
(IEEE, 2020)
Accurate X-ray screening systems are of paramount importance in the present day. Most existing systems predict only on the basis of a single image, which could lead to false positives and false negatives due to limited ...
An Industrial Internet Application for Real-Time Fault Diagnosis in Industrial Motors
(IEEE, 2020)
Being able to detect, identify, and diagnose a fault is a key feature of industrial supervision systems, which enables advance asset management, in particular, predictive maintenance, which greatly increases efficiency and ...
Towards memristive crossbar-based neuromorphic HW accelerators for signal processing
(IEEE, 2017)
Research progress in neuromorphic hardware, capable of biological perception and cognitive information processing, is leading the way towards a revolution in computing technology. Current research efforts have focused ...
Studying the effects of explaining recommendations of artistic images
(2019)
Explicar las sugerencias de los sistemas de recomendación es un área importante de investigación, ya que ha demostrado un efecto significativo en varias dimensiones de la experiencia del usuario. Sin embargo, hay muy pocos ...
Desarrollo de una aplicación Web, para el análisis y predicción del flujo de personas, aplicado al transporte urbano de la ciudad de Cañar
(2022-08)
Guaranteeing a monitored public transport that through different alternatives can avoid congestion on the roads, the increase in environmental pollution, the delay in the arrival of users, these being the main factors that ...
Diseño e implementación de un sistema de control de acceso mediante reconocimiento facial para la academia Titanes Cuenca
(2022-12)
Development and implementation of an access control system through neural networks, when comparing the image of the camera with the database, the electromagnetic lock is activated or not, allowing access to the establishment. ...
Diseño y desarrollo de un chatbot usando redes neuronales y procesamiento de lenguaje natural orientado a entidades bancarias
(2022-03)
The main purpose of the work to be described is the development of a transactional Chatbot system, with the use of new technologies such as natural language processing (NLP), recurrent neural networks (RNN) to perform ...
Desarrollo de un controlador neuro difuso sobre un sistema embebido y monitoreo remoto de variables a través de una plataforma iot. aplicación al control de velocidad de un motor de corriente directa
(2022)
This article describes the development and application of a real-time neuro fuzzy controller to control the speed of a direct current motor. To tune the fuzzy neuro control, training was applied using an artificial neural ...
Unsupervised method for correlated noise removal for multi-wavelength exoplanet transit observations
(IOP Publishing, 2017-07-01)
Exoplanetary atmospheric observations require an exquisite precision in the measurement of the relative flux among wavelengths. In this paper, we aim to provide a new adaptive method to treat light curves before fitting ...
Manganese nodules in the Miocene Bahía Inglesa Formation, north-central Chile: Petrography, geochemistry, genesis and palaeoceanographic significance
(Elsevier, 2009)
Manganese nodules recovered from two stratigraphic horizons of Tortonian–Messinian (late Miocene) age in
the Bahía Inglesa Formation of north-central Chile were studied using XRD, SEM and geochemical analysis.
The dominant ...