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Design of a yarn analysis mechatronic prototype for textile industry

Pereira, Filipe; Machado, José; Soares, Filomena; Vasconcelos, Rosa; Carvalho, Vítor

Portuguese textile industry faces challenges in a globalized market, needing enhanced competitiveness and superior product quality. The quality of textile products heavily relies on yarn excellence, demanding precise evaluation against predefined parameters. Despite advancements, existing yarn evaluation devices struggle with limitations like high costs, bulkiness and imprecise assessments. To overcome these ch...


Design and numerical optimization of a lab-on-a-chip device for blood cells’ an...

Fadlelmoula, Ahmed; Carvalho, Vítor; Minas, Graça; Catarino, Susana Oliveira

The blood circulation carries valuable information about the human body's functioning. Thus, there is a continuous need for novel, accurate, and fast techniques to analyse blood samples. The objective of this research is to design, numerically simulate and optimize a low-cost microfluidic lab-on-a-chip device, which, in the future, can be used to quickly help the diagnosis of different diseases, by using a sing...


A Novel Convolutional Neural Network Algorithm for Histopathological Lung Cance...

Faria, Nélson; Campelos, Sofia; Carvalho, Vítor

Lung cancer is a leading cause of cancer-related deaths worldwide, and its diagnosis must be carried out as soon as possible to increase the survival rate. The development of computer-aided diagnosis systems can improve the accuracy of lung cancer diagnosis while reducing the workload of pathologists. The purpose of this study was to develop a learning algorithm (CancerDetecNN) to evaluate the presence or absen...

Date: 2024   |   Origin: CiencIPCA

A Review of Machine Learning Methods Recently Applied to FTIR Spectroscopy Data...

Fadlelmoula, Ahmed; Catarino, Susana; Minas, Graça; Carvalho, Vítor

Machine learning (ML) is a broad term encompassing several methods that allow us to learn from data. These methods may permit large real-world databases to be more rapidly translated to applications to inform patient–provider decision-making. This paper presents a review of articles that discuss the use of Fourier transform infrared (FTIR) spectroscopy and ML for human blood analysis between the years 2019–2023...

Date: 2024   |   Origin: CiencIPCA

User assessment of a customized Taekwondo athlete performance cyber-physical sy...

Cunha, Pedro; Barbosa, Paulo; Ferreira, Fábio; Silva, Tânia; Martins, Nuno; Soares, Filomena; Carvalho, Vítor

This study outlines the assessment of the cyber–physical system SPERTA, which was designed to evaluate the real-time performance of Taekwondo athletes. The system conducts performance analyses focusing on speed, acceleration, strength, and identifying and quantifying the athlete’s movements. The research involved administering an online questionnaire to athletes and coaches to evaluate the system’s acceptance a...


Physioland: a motivational complement of physical therapy for patients with neu...

Martins, Tiago; Carvalho, Vítor; Soares, Filomena; Leão, Celina Pinto

The number of patients with mobility constraints is increasing as a result of neurological diseases. From the substantiation of the lost functions recoveries, it was possible to determine that the nervous system is able to reorganize itself expressing its property called neuroplasticity. Physical therapy is the well-known way to encourage and promote this ability. However, repetitive traditional physical therap...


Numerical modelling and simulation of a lab-on-a-chip for blood cells’ optical ...

Fadlelmoula, Ahmed; Carvalho, Vítor; Catarino, Susana Oliveira; Minas, Graça

Blood is a treasure of information about the functioning of the whole body. Thus, there is a continuous need for new, accurate, fast, and precise techniques to analyse blood samples. The goal of this work is to design and numerically simulate a low-cost lab-on-a-chip device, which, in the future, can be used to quickly diagnose diseases by using a tiny drop of a blood sample from the patient. The designed micro...


User Assessment of a Customized Taekwondo Athlete Performance Cyber–Physical Sy...

Cunha, Pedro; Barbosa, Paulo; Ferreira, Fábio; Silva, Tânia; Martins, Nuno; Soares, Filomena; Carvalho, Vítor

This study outlines the assessment of the cyber–physical system SPERTA, which was designed to evaluate the real-time performance of Taekwondo athletes. The system conducts performance analyses focusing on speed, acceleration, strength, and identifying and quantifying the athlete’s movements. The research involved administering an online questionnaire to athletes and coaches to evaluate the system’s acceptance a...


Physioland: a motivational complement of physical therapy for patients with neu...

Martins, Tiago; Carvalho, Vítor; Soares, Filomena; Leão, Celina

The number of patients with mobility constraints is increasing as a result of neurological diseases. From the substantiation of the lost functions recoveries, it was possible to determine that the nervous system is able to reorganize itself expressing its property called neuroplasticity. Physical therapy is the well-known way to encourage and promote this ability. However, repetitive traditional physical therap...


Reinforcement Learning as an Approach to Train Multiplayer First-Person Shooter...

Almeida, Pedro; Carvalho, Vítor; Simões, Alberto

Artificial Intelligence bots are extensively used in multiplayer First-Person Shooter (FPS) games. By using Machine Learning techniques, we can improve their performance and bring them to human skill levels. In this work, we focused on comparing and combining two Reinforcement Learning training architectures, Curriculum Learning and Behaviour Cloning, applied to an FPS developed in the Unity Engine. We have cre...


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