Titlebook: Hybrid Artificial Intelligent Systems; 16th International C Hugo Sanjurjo González,Iker Pastor López,Emilio Co Conference proceedings 2021

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GLADE

A Novel Pre-processing Method for Enhancing Classification Over Sensor Data Streams Using Subspace Pes are collected. The data quantity is massive, but most of the data are repetitive and noisy. When traditional classification algorithms are used for classifying sensor data, the performance of the model is often poor because the classification granularity is too small. In order to better data mine

婴儿

Remaining Useful Life Estimation Using a Recurrent Variational Autoencoderstems rely on prior knowledge of the degradation of certain components along with professional expert opinion to predict the Remaining Useful Life (RUL). In order to avoid reliance on this process while still providing an accurate diagnosis, a data-driven approach using a novel recurrent version of

悲痛

Open-Ended Learning of Reactive Knowledge in Cognitive Robotics Based on Neuroevolutioninking”. It is a key aspect in human development, and it is also a key aspect in cognitive architectures for robots, mainly because it avoids inefficient action selection procedures and allows addressing higher-level cognitive processes that make use of it. This paper deals with the acquisition of t

LASH

轻触

玉米棒子

发誓放弃

Loathe

A Simple Genetic Algorithm for the Critical Node Detection Problemne variant of this problem is to find the nodes that - when removed from the graph - maximize the number of connected components in the remaining graph. This is an example of a practical problem with multiple real-world applications in epidemic control, immunization strategies, social networks, biol

BLAZE

Window Size Optimization for Gaussian Processes in Large Time Series Forecastingll. These qualities are of key importance in experimental sciences where benefits of IA applicability is intended to precisely bound sensible results. A Gaussian Process (GP) constitutes a non-parametric soft computing method which encompasses model interpretability and transparency. Additionally GP