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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 ...
Speech emotion recognition in Spanish TV Debates
(ISCA, 2022)
Emotion recognition from speech is an active field of study that can help build more natural human-machine interaction systems. Even though the advancement of deep learning technology has brought improvements in this task, ...
Gene Expression Profiling in Limb-Girdle Muscular Dystrophy 2A
(Public Library of Science, 2008-11-18)
Limb-girdle muscular dystrophy type 2A (LGMD2A) is a recessive genetic disorder caused by mutations in calpain 3 (CAPN3). Calpain 3 plays different roles in muscular cells, but little is known about its functions or in ...
Clustering Cities over Features Extracted from Multiple Virtual Sensors Measuring Micro-Level Activity Patterns Allows One to Discriminate Large-Scale City Characteristics
(MDPI, 2023-05-29)
The impact of micro-level people’s activities on urban macro-level indicators is a complex question that has been the subject of much interest among researchers and policymakers. Transportation preferences, consumption ...
Analysis of dominant classes in universal adversarial perturbations
(Elsevier, 2022-01)
The reasons why Deep Neural Networks are susceptible to being fooled by adversarial examples remains an open discussion. Indeed, many different strategies can be employed to efficiently generate adversarial attacks, some ...
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 ...
Ensemble of 6 DoF Pose estimation from state-of-the-art deep methods.
(Elsevier, 2023-07)
Deep learning methods have revolutionized computer vision since the appearance of AlexNet in 2012. Nevertheless, 6 degrees of freedom pose estimation is still a difficult task to perform precisely. Therefore, we propose 2 ...
HPC Platform for Railway Safety-Critical Functionalities Based on Artificial Intelligence
(MDPI, 2023-08-07)
The automation of railroad operations is a rapidly growing industry. In 2023, a new European standard for the automated Grade of Automation (GoA) 2 over European Train Control System (ETCS) driving is anticipated. Meanwhile, ...
Evaluation of the Temperature and Time in Centrifugation-Assisted Freeze Concentration
(MDPI, 2020-12-21)
Centrifugation is a technique applied to assist in the freeze concentration of fruit juices and solutions. The aim of this work was to study the influence of the time–temperature parameters on the centrifugation process ...
Multimodal feature evaluation and fusion for emotional well-being monitorization
(Springer, 2022-04-26)
Mental health is a global issue that plays an important roll in the overall well-being of a person. Because of this, it is important to preserve it, and conversational systems have proven to be helpful in this task. This ...