Control in HVAC (heating, ventilation and air-conditioning) systems of buildings is not trivial,
and its design is considered challenging due to the complexity in the analysis of the …

Passive acoustic monitoring is usually presented as a complementary approach to
monitoring wildlife communities and assessing ecosystem conditions. Automatic species …

Currently, it has become very relevant that machine learning techniques can provide an
explanation of the results they generate, which is even more relevant in certain domains …

Classically, in classification and clustering problems, an individual is exclusively assigned to
a class (labeled data) or a cluster (unlabeled data). However, the assignment to a single …

The learning algorithm for multivariable data analysis (LAMDA) is a learning method to
group or classify quantitative and qualitative historical data. LAMDA can be applied for self …

Three-phase induction motors are widely used in the industrial field due to their low cost and
robustness; therefore, it is essential to continuously develop new proposals that improve …

This paper proposes a new approach to improve the performance of Learning Algorithm for
Multivariable Data Analysis (LAMDA). This algorithm can be used for supervised and …

Clustering is a research challenge focused on discovering knowledge from data samples
whose goal is to build good quality partitions. In this paper is proposed an approach based …

Avian vocal individuality carries information that can be utilized as an alternative to physical
tagging of individuals. However, it is rarely used in conservation tasks despite rapidly …

Air pollution is a substantial issue for public health. Predicting the levels of airborne
particles, especially those originating from natural phenomena like sand mists from the …