Titlebook: Hybrid Artificial Intelligent Systems; 17th International C Pablo García Bringas,Hilde Pérez García,Emilio Cor Conference proceedings 2022

GRAIN

創(chuàng)造性

Concept Drift Detection to?Improve Time Series Forecasting of?Wind Energy Generationarning is often applied to forecast time series. Since data flows are usually large, trends in data may change and learned patterns might not be optimal in the most recent data. In this paper, we analyse wind energy generation data extracted from the Sistema de Información del Operador del Sistema (

Picks-Disease

A Decision Support Tool for?the?Static Allocation of?Emergency Vehicles to?Stationstors (e.g., requests, stations, etc.). In this sense, obtaining the optimal allocation is key to guaranteeing the effectiveness of the emergency services, which can be measured as the response time. Focused on this issue, we present a decision support tool for the ambulance location problem, which c

Compassionate

嚴(yán)峻考驗(yàn)

Small Wind Turbine Power Forecasting Using Long Short-Term Memory Networks for?Energy Management Sysion of green policies. In this context, the technologies to exploit wind energy have experienced a remarkable increase. Besides, the intermittent availability of wind energy can be complemented by energy management systems to reduce the energy bill. This work proposes a forecasting system to determi

我邪惡

CORE-BCD-mAI: A Composite Framework for Representing, Querying, and Analyzing Big Clinical Data by Mrposes, in the .. We present in detail methodologies supported by the CORE-BCD-mAI framework, along with its intrinsic anatomy. The paper also provides relevant research challenges deriving from the overall CORE-BCD-mAI proposal.

Meditative

Generalized Fisher Kernel with?Bregman Divergenceplicability. We approach the solution to this problem with the NMF (Non-negative Matrix Factorization) methods, which with adequate normalization conditions, provide stochastic matrices. Using the Bregman divergence as the objective function, formally equivalent solutions appear for the specific for

空洞

economic and social shifts. During the nineties, when Brazil was finally able to beat inflation—in a movement also noticed in other Latin American countries—its economy opened to the world. The privatization of state-owned companies, an upsurge in foreign investment and a new regulatory platform en

鑲嵌細(xì)工

oncologist

Fernando Moncada Martins,Víctor Manuel González,Beatriz García,Víctor álvarez,José Ramón Villarpter presents a general description of Big Law in Colombia. Furthermore, this chapter tries to answer the following question: what were the variables that unleashed the emergence of Big Law in Colombia? It argues that the “opening” of Colombia’s economy championed by the Gaviria administration (1990