Add to ORKGObjectius de Desenvolupament Sostenible::14 - Vida Submarina::14.b - Facilitar l'accés dels pescadors artesanals en petita escala als recursos marins i als mercat
Lung cancer causes more deaths globally than any other type of cancer. To determine the best treatme...
Quantification of the anterior segment of the human eye (cornea, iris, and crystalline lens) is cruc...
It is now clear that machine learning will be widely used in future telecommunication networks as it...
In very recent years, several classification problems in computer vision, have boosted its performan...
Los objetivos de este trabajo se pueden resumir esencialmente en 3: Evaluar el impacto general de l...
In the recent years, deep learning has shown to have a formidable impact on image classification and...
Commercially available Automatic License Plate Recognition (ALPR) systems have limited ability to pr...
Cancer 3D multicellular spheroids are a fundamental in vitro tool for studying in vivo tumors. Volum...
In computer vision and image processing, object detection algorithms are used to detect semantic obj...
Abstract. With the wide usage and spread of camera phones, it becomes necessary to tackle the proble...
Treballs Finals de Grau d'Enginyeria Biomèdica. Facultat de Medicina i Ciències de la Salut. Univers...
Training a system of artificial neural networks on digital images is a big challenge. Often times di...
Combining microscopy image acquisition and deep learning improves image processing and analytics. Ho...
One of the major hurdles in semantic image classification is that only low-level features can be rel...
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science a...
Lung cancer causes more deaths globally than any other type of cancer. To determine the best treatme...
Quantification of the anterior segment of the human eye (cornea, iris, and crystalline lens) is cruc...
It is now clear that machine learning will be widely used in future telecommunication networks as it...
In very recent years, several classification problems in computer vision, have boosted its performan...
Los objetivos de este trabajo se pueden resumir esencialmente en 3: Evaluar el impacto general de l...
In the recent years, deep learning has shown to have a formidable impact on image classification and...
Commercially available Automatic License Plate Recognition (ALPR) systems have limited ability to pr...
Cancer 3D multicellular spheroids are a fundamental in vitro tool for studying in vivo tumors. Volum...
In computer vision and image processing, object detection algorithms are used to detect semantic obj...
Abstract. With the wide usage and spread of camera phones, it becomes necessary to tackle the proble...
Treballs Finals de Grau d'Enginyeria Biomèdica. Facultat de Medicina i Ciències de la Salut. Univers...
Training a system of artificial neural networks on digital images is a big challenge. Often times di...
Combining microscopy image acquisition and deep learning improves image processing and analytics. Ho...
One of the major hurdles in semantic image classification is that only low-level features can be rel...
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science a...
Lung cancer causes more deaths globally than any other type of cancer. To determine the best treatme...
Quantification of the anterior segment of the human eye (cornea, iris, and crystalline lens) is cruc...
It is now clear that machine learning will be widely used in future telecommunication networks as it...