Shabani, Arya (Date of defense: 2021-07-05)
The position analysis problem is a fundamental issue that underlies many problems in Robotics such as the inverse kinematics of serial robots, the forward kinematics of parallel robots, the coordinated ...
Alserafi, Ayman (Date of defense: 2021-02-05)
With the huge growth in the amount of data generated by information systems, it is common practice today to store datasets in their raw formats (i.e., without any data preprocessing or transformations) ...
Aguilar Mena, Jimmy (Date of defense: 2022-11-23)
(English) The dominant programming approach for scientific and industrial computing on clusters is MPI+X. While there are a variety of approaches within the node, denoted by the ``X'', Message Passing ...
Canal Camprodon, Gerard (Date of defense: 2020-03-09)
Robotic assistants have inspired numerous books and science fiction movies. In the real world, these kinds of devices are a growing need in amongst the elderly, who while life continue requiring more ...
Silfa, Franyell (Date of defense: 2021-01-25)
Deep Learning algorithms have been remarkably successful in applications such as Automatic Speech Recognition and Machine Translation. Thus, these kinds of applications are ubiquitous in our lives and ...
Al Shaiba, Omar (Date of defense: 2020-10-02)
Basemaps are the main resource used in urban planning and in building and infrastructure asset management. These maps are used by citizens and by private and public stakeholders. Therefore, accurate, ...
Borchini, Luca (Date of defense: 2020-12-17)
Nowadays, the main computational bottleneck in computer-assisted industrial design procedures is the necessity of testing multiple parameter settings for the same problem. Material properties, boundary ...
Garikapati, Hasini (Date of defense: 2020-03-28)
Uncertainty quantification is important in assessing and predicting the performance of complex engineering systems and processes, especially in the absence of adequate experimental or real-world data. ...
Girbau Xalabarder, Andreu (Date of defense: 2021-03-17)
Since less than a decade ago, deep learning techniques started to dominate many different fields, revolutionizing the possibilities of artificial intelligence. Seeing their potential, industrial sectors ...
Suárez-Varela Macià, José Rafael (Date of defense: 2020-06-26)
Significant breakthroughs in the last decade in the Machine Learning (ML) field have ushered in a new era of Artificial Intelligence (AI). Particularly, recent advances in Deep Learning (DL) have enabled ...