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Towards Smart Data Selection from Tithe Series Using Statistical Methods
(IEEE-Institute of Electrical and Electronics Engineers, 2021)
Transmitting and storing large volumes of dynamic / time series data collected by modern sensors can represent a significant technological challenge. A possibility to mitigate this challenge is to effectively select a ...
Enhancing VTOL Multirotor Performance with a Passive Rotor Tilting Mechanism
(IEEE-Institute of Electrical and Electronics Engineers, 2021-04-23)
This article discusses the benefits of introducing a simple passive mechanism to enable rotor tilting in Vertical Take-Off and Landing (VTOL) multirotor vehicles. Such a system is evaluated in relevant Urban Air Mobility ...
Learning Optimal Time Series Combination and Pre-Processing by Smart Joins
(MDPI, 2020-09-11)
In industrial applications of data science and machine learning, most of the steps of a typical pipeline focus on optimizing measures of model fitness to the available data. Data preprocessing, instead, is often ad-hoc, ...
An Agave Counting Methodology Based on Mathematical Morphology and Images Acquired through Unmanned Aerial Vehicles
(MDPI, 2020-11-02)
Blue agave is an important commercial crop in Mexico, and it is the main source of the traditional mexican beverage known as tequila. The variety of blue agave crop known as Tequilana Weber is a crucial element for tequila ...
Measurement Time Reduction by Means of Mathematical Modeling of Enzyme Mediated RedOx Reaction in Food Samples Biosensors
(MDPI, 2021-04-24)
The possibility of measuring in real time the different types of analytes present in food is becoming a requirement in food industry. In this context, biosensors are presented as an alternative to traditional analytical ...
3D Convolutional Neural Networks Initialized from Pretrained 2D Convolutional Neural Networks for Classification of Industrial Parts
(MDPI, 2021-02-04)
Abstract
Deep learning methods have been successfully applied to image processing, mainly using 2D vision sensors. Recently, the rise of depth cameras and other similar 3D sensors has opened the field for new perception ...
Video Activity Recognition: State-of-the-Art
(MDPI, 2019-07-18)
Video activity recognition, although being an emerging task, has been the subject of important research efforts due to the importance of its everyday applications. Surveillance by video cameras could benefit greatly by ...
Using Common Spatial Patterns to Select Relevant Pixels for Video Activity Recognition
(MDPI, 2020-11-14)
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Open AccessArticle
Using Common Spatial Patterns to Select Relevant Pixels for Video Activity Recognition
by Itsaso Rodríguez-Moreno
* [OrcID] , José María Martínez-Otzeta
[OrcID] , Basilio ...
RANSAC for Robotic Applications: A Survey
(2022-12-28)
Random Sample Consensus, most commonly abbreviated as RANSAC, is a robust estimation method for the parameters of a model contaminated by a sizable percentage of outliers. In its simplest form, the process starts with a ...
HAKA: HierArchical Knowledge Acquisition in a sign language tutor
(Elsevier, 2023-04)
Communication between people from different communities can sometimes be hampered by the lack of knowledge of each other's language. A large number of people needs to learn a language in order to ensure a fluid communication ...