Pore, Ameya Ravindra (Date of defense: 2023-07-27)
(English) Intraluminal procedures have opened up a new sub-field of minimally invasive surgery that use flexible instruments to navigate through complex luminal structures of the body, resulting in ...
Rodríguez Fernández, Antonio (Date of defense: 2023-07-21)
(English) People with spinal cord injury (SCI) may suffer lifelong sequels that influence every aspect of their lives, including motor and/or sensory impairment, difficulty breathing and/or swallowing, ...
San Miguel Tello, Alberto (Date of defense: 2023-09-04)
(English) Although robotic platforms have been used for a wide range of purposes, recent advances in robot autonomy raise the opportunity of bringing them closer to humans. This implies that, under any ...
Narváez Dorado, Marien Cristina (Date of defense: 2023-09-29)
(English) Crutches are widely used as assistive walking devices for a diverse population. They are often prescribed by clinicians/therapists to help offload the lower extremities for individuals with ...
Vavouliotis, Georgios (Date of defense: 2023-09-12)
(English) Despite groundbreaking technological innovations, the disparity between processor and memory speeds (known as Memory Wall) is still a major performance obstacle for modern systems. Hardware ...
Arellano Espitia, Francisco (Date of defense: 2023-10-10)
(English) In recent years, there has been significant attention from both the academic and industry sectors towards condition-based maintenance of rotating systems. This attention stems from the high ...
Fernández Cañellas, Dèlia (Date of defense: 2023-10-09)
(English) Media producers publish large amounts of multimedia content online - both text, audio, image and video. As the online media market grows, the management and delivery of contents becomes a ...
Herruzo Sánchez, Pedro (Date of defense: 2023-10-30)
(English) This thesis explores the intersection of deep learning and spatio-temporal forecasting, focusing on the challenges and opportunities present in applying machine learning methods to predict ...
Osorio Ríos, John Haiber (Date of defense: 2023-10-18)
(English) Deep Neural Networks (DNNs) have become ubiquitous in a wide range of application domains. Despite their success, training DNNs is an expensive task which has motivated the use of reduced ...
Palomino Gayete, Arturo (Date of defense: 2023-10-03)
(English) The Internet has changed the way companies sell and users shop. Nowadays, having an online presence is an opportunity, while not doing so is a competitive disadvantage, and companies strive ...