27 documents found, page 1 of 3

Os desafios da aplicação de deep learning à imagiologia médica: sumário pormeno...

Deep Learning Aplicado: (Conteúdos e métodos de organização científica e de exe...

Safety profile of ZnO active packaging PBAT based biomaterial for food packagin...

Materials produced with polybutylene adipate terephthalate (PBAT) and starch are raising great interest for packaging and food contact applications, including as support for active antimicrobial agents such as zinc oxide nanoparticles (ZnO). Studies focusing on the safety of these materials as evaluated with the current reference rules for food contact materials, are lacking. A commercially available PBAT/starc...

Does fake news have feelings?

Fake news spreads rapidly, creating issues and making detection harder. The purpose of this study is to determine if fake news contains sentiment polarity (positive or negative), identify the polarity of sentiment present in their textual content and determine whether sentiment polarity is a reliable indication of fake news. For this, we use a deep learning model called BERT (Bidirectional Encoder Representatio...

Ten years of active learning techniques and object detection: a systematic review

Object detection (OD) coupled with active learning (AL) has emerged as a powerful synergy in the field of computer vision, harnessing the capabilities of machine learning (ML) to automatically identify and perform image-based objects localisation while actively engaging human expertise to iteratively enhance model performance and foster machine-based knowledge expansion. Their prior success, demonstrated in a w...

Evaluating rotation invariant strategies for mitosis detection through YOLO alg...

Cancer diagnosis is of major importance in the field of human medical pathology, wherein a cell division process known as mitosis constitutes a relevant biological pattern analyzed by professional experts, who seek for such occurrence in presence and number through visual observation of microscopic imagery. This is a time-consuming and exhausting task that can benefit from modern artificial intelligence approac...

Unhealthy lifestyles, environment, well-being and health capability in rural ne...

Background: Non-communicable diseases are a leading cause of health loss worldwide, in part due to unhealthy lifestyles. Metabolic-based diseases are rising with an unhealthy body-mass index (BMI) in rural areas as the main risk factor in adults, which may be amplified by wider determinants of health. Changes in rural environments reflect the need of better understanding the factors affecting the self-ability f...

Schools 4.0 – innovation in vocational education: project nr. 2018-1-PT01-KA202...

Percecionando a necessidade de construir os pilares para reinventar a escola capaz de responder aos novos desafios e oportunidades da Educação e Formação Profissional dos atuais tempos “líquidos” em que vivemos, uma parceria transnacional constitui-se para desenvolver, desde 2018, o Projeto no 2018-I-PT OI-KA 202-O4774463, no âmbito do Programa Erasmus +, chave KA2, intitulado “School 4.0 -Innovation in VET”. A...

Characterization of seaweed communities using deep learning applied to UAV-base...

Macroalgal communities are generally found in coastal regions, close to rocks or other hard surfaces. They provide shelter and food for many organisms and are of interest to the food industry, pharmaceutical, and agriculture. They are also an indicator of environmental change. Traditionally, the process of identification and monitoring of these communities and their constituent species is based on manual method...

Low-Resolution Retinal Image Vessel Segmentation

Segmentation process serves to aid the pathology diagnosing process since segmentation filters the interference from other anatomical structures and helps focus on the posterior segment structures of the eye, highlighting a set of signals that will serve for diagnosis of various retinal pathologies. Automatic retinal vessel segmentation can lead to a more accurate diagnosis. This paper presents a framework for ...