With the rise of the internet and the Internet of Things (IoT), the concept of a Smart City began to materialise. Crowdsensing is the process of using portable sensing devices to gather information about people’s surroundings. Furthermore, the ...

In this paper, a novel AI method for failure prediction in transmission lines components is presented. The method combines machine learning and deep learning capabilities. The approach was tested using degradation simulated data of a composite ...

Physics-informed neural networks allow the neural network to be trained by both the training data and prior domain knowledge about the physical system that models the data. In particular, it has a loss function for the data and the physics, where ...

With an increase in the diversity of data that companies in our society produce today, extracting insights from them manually has become an arduous task. One of the processes of extracting knowledge from the data is the application of anomaly ...

Long vehicles queues at traffic signalized intersections are common elements on most urban roads. One of the causes of this problem is the configuration of installed traffic signals. The analysis of these configurations must consider human ...

Demand forecasting impacts business profitability by assisting in decision-making regarding production and inventory levels to meet demand, without the occurrence of product shortages or waste due to excess. The supply chain of perishable products ...

This work proposes the design of a multi-agent system to simulate the growth of E. coli bacteria in a growth medium, based on the behavior of the bacteria in four main phases: lag phase, exponential phase, stationary phase and death phase. Using ...

We present a two-step approach for autonomous drone racing that does not require information about the race track (i.e., number of gates, their position and orientation), only the drone’s position in the arena, which could be obtained with GPS, a ...

Cardiac arrhythmias are heartbeat disorders in which the electrical impulses that coordinate the cardiac cycle malfunction. The heart’s electrical activity is recorded using electrocardiography (ECG), a non-invasive method that helps diagnose ...

Regional neuraxial analgesia is a safe method for pain relief during labor, but its effectiveness must be assessed carefully. As a non-invasive technique, thermal imaging is gaining increasing acclaim as an objective way to quantify blood flow ...

This paper describes experiments on phonetic speech segmentation of audiobooks by using LSTM neural networks. The segmentation procedure includes an iterative adaptation of an initial speaker-independent model. The experimental data involves 5 ...

Sign language translation (SLT) is an active field of study that encompasses human-computer interaction, computer vision, natural language processing and machine learning. Progress on this field could lead to higher levels of integration of deaf ...

Antonymy-Synonymy Discrimination (ASD) is a challenging NLP task that has been tackled mainly for English. We present a dataset for ASD in Spanish, built using online dictionaries and Wordnet in Spanish. To evaluate the quality of the dataset, we ...

Stress is a social problem affecting society in different ways. Obtaining an accurate diagnosis of stress is complex because the symptoms of stress are very similar to the symptoms of many other illnesses. Some studies have used wearable sensors ...

In this work, a semi-supervised hierarchical classifier based on local information (SSHC-BLI) is proposed. SSHC-BLI is a semi-supervised learning algorithm that can be applied to hierarchical classification, that is, it can handle labeled and ...

Deep learning algorithms automatically extract features from ECG signals, eliminating the manual feature extraction step. Deep learning approaches require extensive data to be trained, and access to an ECG database with a large variety of cardiac ...

Forró is an important genre that has been developing the cultural identity of Brazil and it is one of the most consumed by Brazilians on Spotify. However, the lack of datasets and their specificity leads to less research about this genre. In order ...

Biodiversity monitoring has taken a relevant role in conservation management plans, where several methodologies have been proposed to assess biological information of landscapes. Recently, soundscape studies have allowed biodiversity monitoring by ...

The Colombian armed conflict has affected in some degree its entire population. Health authorities require markers to determine this exposure and provide proper mental-health interventions. Unsupervised learning techniques allow clustering ...

Internal Combustion Engines (ICE) are widely used in everyday life regardless of its contaminant emissions production, in order to reduce the impact of these emissions it is necessary to maximize the engines’ efficiency and diagnosing them it is ...