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Currently, the American Sign Language (ASL), expressed through the use of body gestures (hand, face, torso) and perceived through the eyes, is the standard language of communication used by the Deaf community. Our main objective is to implement an automated translation system that is capable of translating ASL to English text using common computing environments such as a computer and a generic webcam...
This paper presents the design and implementation of an Internet of Thing (IoT)-based system for indoor localization using Bluetooth Low Energy (BLE) technology. Our solution consists of two main systems: an acquisition system and a central server, under the Client-Server paradigm and the IoT philosophy. We report the development of different modules: measurement (Bluetooth beacons), data aggregation...
The current deployment of information and communication technologies (ICTs), coupled with the growing development of mobile communications and miniaturized electronic devices, allows that more people access to a large amount of information. For this reason, a new social model known as the knowledge society is being developed. It is based on the capacity of each individual to transform the information...
Deep learning methods have resulted in effective strategies for improving performance in a large number of applications, becoming one of the most used strategies by developers and researchers. In order to facilitate the implementation of those approaches, a set of software frameworks have been developed and are currently available. Selection of a specific framework is an important task, especially...
This paper addresses the credit card fraud detection problem in the context of Big Data, based on machine learning techniques. In the fraud detection task, typically the available datasets for ML training present some peculiarities, such as the unavoidable condition of a strong class imbalance, the existence of unlabeled transactions, and the large number of records that must be processed. The present...
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