Machine learning in the medical area has become a very important requirement. The healthcare professional needs useful tools to diagnose illnesses. Classifiers are provide that can be health for this purpose. However, questions arise: which classifier use? What metrics appropriate measure performance of classifier? How determine good distribution data so does not bias patterns classified particular class? Then most question: perform well disease? This paper will present some answers...

People with severe disabilities require assistance to perform their routine activities; a Human–Machine Interface (HMI) will allow them activate devices that respond according needs. In this work, an HMI based on electrooculography (EOG) is presented, the instrumentation placed portable glasses have task of acquiring both horizontal and vertical EOG signals. The registration each eye movement identified by class categorized using one hot encoding technique test precision sensitivity...

This paper introduces a new method of compressing digital images by using the Difference Transform applied in medical imaging. The algorithm performs decorrelation process image data, and this way improves encoding process, achieving file with smaller size than original. proposed proves to be competitive many cases better standards used for such as TIFF or PNG. In addition, can replace other transforms like Cosine Wavelet.

Associative memories in min and max algebra are of great interest for pattern recognition. One property these is that they one-shot, is, an attempt converge to the solution without having iterate. These have proven be very efficient, but manifest some weakness with mixed noise. If appropriate kernel not used, a subset recalled affected by noise, fail noticeably. A possible problem building kernels sufficient conditions, using binary gray-scale images, knowing how noise registered images....

The scaling of Raceway bioreactors was studied by geometric and mechanical similarity, with an order magnitude 1:10. hydrodynamic parameters involved (flow velocity, stress or shear stress, dimensionless numbers Re, Fr, Euler Power) at different stirring speeds (30, 35, 40, 45 rpm) were determined. study, carried out using low-density particle imaging velocimetry (PIV), showed that the speed liquid medium remains above 30 cm/s from rpm, which ensures turbulence in system. flow velocity...

This work details a proposed low-cost upper limb prosthesis. prosthesis gets relevant due to the great number of people lacking an limb, typically derived from amputations or birth malformations, as well inherent high cost acquisition functional Our proposal contemplates use open source projects, in virtue fact that using these projects may speed up development time, decrease time and implementation, where at same updated constant world-wide community support is observed. implementation...

Gait analysis is the systemic study of human walking. In this paper we present development a 3D gait system based on Augmented Reality (AR). AR allows user to see real world with virtual elements overlapped upon it in time. To build Analysis was necessary determine markers position for analysis, develop an electronic circuit Arduino technology control accelerometers and infrared leds feed scene, human-machine interface establish communication protocol between computer generate augmented reality leds.

Hypertensive disorders in pregnancy, which include preeclampsia, eclampsia, and chronic hypertension, complicate approximately 10% of all pregnancies the world, constituting one most serious causes mortality morbidity gestation. To help predict occurrence hypertensive disorders, a study based on algorithms that model this health problem using mathematical tools is proposed. This proposes fuzzy c-means (FCM) Takagi–Sugeno (T-S) type rule to pregnancy. test different modeling methodologies,...

In this work, we explore the application of deep reinforcement learning (DRL) to algorithmic trading. While trading is focused on using computer algorithms automate a predefined strategy, in train Double Deep Q-Network (DDQN) agent learn its own optimal policy, with goal maximising returns whilst managing risk. study, extended our approach by augmenting Markov Decision Process (MDP) states sentiment analysis financial statements, through which achieved up 70% increase cumulative reward over...

Microalgae and cyanobacteria are of great interest for various industries due to the products that can be obtained from them. This makes study cultivation systems these microorganisms increasing. Such is case Raceway bioreactors, which have been analyzed by simulations mixing agitation. Mixing most important factor in growth photosynthetic microorganisms. In present work, experimental evidence hydrodynamic parameters such as; Re, Fr, NQ, NP EP flow paths were also within a bioreactor. It was...

Image segmentation is an important process in digital image analysis, there are several algorithms to carry out this process. In work, algorithm little studied the of images defined and that also applicable processing videos biological systems, especially, cultivation microalgae Raceway bioreactors. This known as Fast Distance Transform (FDT) when operating it with morphological skeleton, capable determining number objects separating them generated. With above, possible give individual...

Associative memories are a significant topic in pattern recognition, and therefore, throughout history, numerous memory models have been designed due to their usefulness. One such model is the associative minmax, which highly efficient at learning recalling patterns as well being tolerant of high levels additive subtractive noise. However, it not when comes mixed To solve this issue we present generic heteroassociative max robust acquisition noise (mixed noise). This solution based on...

Equine therapy is a treatment on horse that allows the stimulation of people physically and neurologically in areas related to walk. It important emphasize recognition these therapies since there not much scientific documentation support it. The main objective this research create device determine benefit quantitative way. This document describes development system measure involuntary movements patients with neurological diseases. composed accelerometers send signals mobile for storage...