Smart Cities
portes grátis
Smart Cities
8th Ibero-American Congress, ICSC-Cities 2025, Puebla, Mexico, November 10-12, 2025, Revised Selected Papers
Nesmachnow, Sergio; Hernandez Callejo, Luis
Springer Nature Switzerland AG
04/2026
425
Mole
Inglês
9783032190185
Pré-lançamento - envio 15 a 20 dias após a sua edição
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.- Internet of Things and Big Data.
.- Enhancing Solar Energy Research: A Database Approach for Photovoltaic Laboratories.
.- Smart meter based on demand forecasting for real-time architecture.
.- IoT-Driven Smart Mobility: Enhancing Urban Transportation Efficiency with AI and Big Data.
.- Inspection of Land Surface Temperature Estimation Methods contrasted to in-situ Measurements: A Case Study in Panama.
.- IoT platform for detecting pavement irregularities on urban roads.
.- Flood analysis using remote sensing and cloud computing: a WebGIS tool for urban flood management.
.- Design and Implementation of a Low-Cost IoT Air-Quality Monitoring Network at Queen Mary University of London Mile End Campus.
.- Computational intelligence for smart cities.
.- Forecasting of Hospital Cardiovascular Emergency Demand in the Dominican Republic Using Time Series and Machine Learning Models.
.- Neural networks for modeling and predicting pollution in urban environments.
.- Estimation model for arrival times in urban public transportation of Cuernavaca using artificial neural networks.
.- Traffic sign detection for autonomous driving at 1:10 scale a YOLO approach.
.- Clustering Algorithm for Crack Detection on 2D Surfaces: Analysis of Its Dependence on Simulated Surface Size.
.- Clustering techniques to improve the prediction of the THD index for poorly correlated predictor variables.
.- Optimization, smart industry, and smart public services.
.- Evolutionary algorithms for the optimization of irrigation systems.
.- A biobjective model for the bins allocation and collection routing problem in waste management.
.- A multiobjective evolutionary algorithm for the bus stops location problem: optimizing demand coverage, travel times, and operational costs.
.- A Q-learning approach for long-term hydrothermal dispatch.
.- Electric Vehicles-based Microgrid for Demand Response Studies using a Stochastic Algorithm.
.- Implementation of a Metaheuristic based on K-means and Ant Colony Optimization.
.- Intelligent Operation of BESS for Active and Reactive Power Management in AC Microgrids Using the Crow Search Optimizer.
.- An smart industry study approach in photovoltaic panels and FEM design.
.- Brazilian Bus Transport Efficiency: A Simar-Wilson DEA with Beta-Tobit Analysis.
.- Innovative approaches for smart cities.
.- Quantum-resilient smart cities: Cryptographic strategies and implementation challenge.
.- A biobjective model for task assignment with multi-skilled workers and customer deadlines in service companies.
.- QR-based traceability system for avocado production in Mexico.
.- Optimal Dispatch in a Multinodal AC Microgrid Model with Battery Energy Storage System (BESS) and Solid-State Transformer (SST).
.- Neural Network Approach for Super-resolution of a Digital Elevation Model.
.- Eddies as indicators of local sargassum inundation risks on the south coast of Dominican Republic.
.- Towards timely detection of student stress and anxiety.
.- Enhancing Solar Energy Research: A Database Approach for Photovoltaic Laboratories.
.- Smart meter based on demand forecasting for real-time architecture.
.- IoT-Driven Smart Mobility: Enhancing Urban Transportation Efficiency with AI and Big Data.
.- Inspection of Land Surface Temperature Estimation Methods contrasted to in-situ Measurements: A Case Study in Panama.
.- IoT platform for detecting pavement irregularities on urban roads.
.- Flood analysis using remote sensing and cloud computing: a WebGIS tool for urban flood management.
.- Design and Implementation of a Low-Cost IoT Air-Quality Monitoring Network at Queen Mary University of London Mile End Campus.
.- Computational intelligence for smart cities.
.- Forecasting of Hospital Cardiovascular Emergency Demand in the Dominican Republic Using Time Series and Machine Learning Models.
.- Neural networks for modeling and predicting pollution in urban environments.
.- Estimation model for arrival times in urban public transportation of Cuernavaca using artificial neural networks.
.- Traffic sign detection for autonomous driving at 1:10 scale a YOLO approach.
.- Clustering Algorithm for Crack Detection on 2D Surfaces: Analysis of Its Dependence on Simulated Surface Size.
.- Clustering techniques to improve the prediction of the THD index for poorly correlated predictor variables.
.- Optimization, smart industry, and smart public services.
.- Evolutionary algorithms for the optimization of irrigation systems.
.- A biobjective model for the bins allocation and collection routing problem in waste management.
.- A multiobjective evolutionary algorithm for the bus stops location problem: optimizing demand coverage, travel times, and operational costs.
.- A Q-learning approach for long-term hydrothermal dispatch.
.- Electric Vehicles-based Microgrid for Demand Response Studies using a Stochastic Algorithm.
.- Implementation of a Metaheuristic based on K-means and Ant Colony Optimization.
.- Intelligent Operation of BESS for Active and Reactive Power Management in AC Microgrids Using the Crow Search Optimizer.
.- An smart industry study approach in photovoltaic panels and FEM design.
.- Brazilian Bus Transport Efficiency: A Simar-Wilson DEA with Beta-Tobit Analysis.
.- Innovative approaches for smart cities.
.- Quantum-resilient smart cities: Cryptographic strategies and implementation challenge.
.- A biobjective model for task assignment with multi-skilled workers and customer deadlines in service companies.
.- QR-based traceability system for avocado production in Mexico.
.- Optimal Dispatch in a Multinodal AC Microgrid Model with Battery Energy Storage System (BESS) and Solid-State Transformer (SST).
.- Neural Network Approach for Super-resolution of a Digital Elevation Model.
.- Eddies as indicators of local sargassum inundation risks on the south coast of Dominican Republic.
.- Towards timely detection of student stress and anxiety.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Smart cities;computational models;energy efficiency;smart mobility;computational intelligence;Internet of Things;citizenship;sustainability;simulation;automatic control
.- Internet of Things and Big Data.
.- Enhancing Solar Energy Research: A Database Approach for Photovoltaic Laboratories.
.- Smart meter based on demand forecasting for real-time architecture.
.- IoT-Driven Smart Mobility: Enhancing Urban Transportation Efficiency with AI and Big Data.
.- Inspection of Land Surface Temperature Estimation Methods contrasted to in-situ Measurements: A Case Study in Panama.
.- IoT platform for detecting pavement irregularities on urban roads.
.- Flood analysis using remote sensing and cloud computing: a WebGIS tool for urban flood management.
.- Design and Implementation of a Low-Cost IoT Air-Quality Monitoring Network at Queen Mary University of London Mile End Campus.
.- Computational intelligence for smart cities.
.- Forecasting of Hospital Cardiovascular Emergency Demand in the Dominican Republic Using Time Series and Machine Learning Models.
.- Neural networks for modeling and predicting pollution in urban environments.
.- Estimation model for arrival times in urban public transportation of Cuernavaca using artificial neural networks.
.- Traffic sign detection for autonomous driving at 1:10 scale a YOLO approach.
.- Clustering Algorithm for Crack Detection on 2D Surfaces: Analysis of Its Dependence on Simulated Surface Size.
.- Clustering techniques to improve the prediction of the THD index for poorly correlated predictor variables.
.- Optimization, smart industry, and smart public services.
.- Evolutionary algorithms for the optimization of irrigation systems.
.- A biobjective model for the bins allocation and collection routing problem in waste management.
.- A multiobjective evolutionary algorithm for the bus stops location problem: optimizing demand coverage, travel times, and operational costs.
.- A Q-learning approach for long-term hydrothermal dispatch.
.- Electric Vehicles-based Microgrid for Demand Response Studies using a Stochastic Algorithm.
.- Implementation of a Metaheuristic based on K-means and Ant Colony Optimization.
.- Intelligent Operation of BESS for Active and Reactive Power Management in AC Microgrids Using the Crow Search Optimizer.
.- An smart industry study approach in photovoltaic panels and FEM design.
.- Brazilian Bus Transport Efficiency: A Simar-Wilson DEA with Beta-Tobit Analysis.
.- Innovative approaches for smart cities.
.- Quantum-resilient smart cities: Cryptographic strategies and implementation challenge.
.- A biobjective model for task assignment with multi-skilled workers and customer deadlines in service companies.
.- QR-based traceability system for avocado production in Mexico.
.- Optimal Dispatch in a Multinodal AC Microgrid Model with Battery Energy Storage System (BESS) and Solid-State Transformer (SST).
.- Neural Network Approach for Super-resolution of a Digital Elevation Model.
.- Eddies as indicators of local sargassum inundation risks on the south coast of Dominican Republic.
.- Towards timely detection of student stress and anxiety.
.- Enhancing Solar Energy Research: A Database Approach for Photovoltaic Laboratories.
.- Smart meter based on demand forecasting for real-time architecture.
.- IoT-Driven Smart Mobility: Enhancing Urban Transportation Efficiency with AI and Big Data.
.- Inspection of Land Surface Temperature Estimation Methods contrasted to in-situ Measurements: A Case Study in Panama.
.- IoT platform for detecting pavement irregularities on urban roads.
.- Flood analysis using remote sensing and cloud computing: a WebGIS tool for urban flood management.
.- Design and Implementation of a Low-Cost IoT Air-Quality Monitoring Network at Queen Mary University of London Mile End Campus.
.- Computational intelligence for smart cities.
.- Forecasting of Hospital Cardiovascular Emergency Demand in the Dominican Republic Using Time Series and Machine Learning Models.
.- Neural networks for modeling and predicting pollution in urban environments.
.- Estimation model for arrival times in urban public transportation of Cuernavaca using artificial neural networks.
.- Traffic sign detection for autonomous driving at 1:10 scale a YOLO approach.
.- Clustering Algorithm for Crack Detection on 2D Surfaces: Analysis of Its Dependence on Simulated Surface Size.
.- Clustering techniques to improve the prediction of the THD index for poorly correlated predictor variables.
.- Optimization, smart industry, and smart public services.
.- Evolutionary algorithms for the optimization of irrigation systems.
.- A biobjective model for the bins allocation and collection routing problem in waste management.
.- A multiobjective evolutionary algorithm for the bus stops location problem: optimizing demand coverage, travel times, and operational costs.
.- A Q-learning approach for long-term hydrothermal dispatch.
.- Electric Vehicles-based Microgrid for Demand Response Studies using a Stochastic Algorithm.
.- Implementation of a Metaheuristic based on K-means and Ant Colony Optimization.
.- Intelligent Operation of BESS for Active and Reactive Power Management in AC Microgrids Using the Crow Search Optimizer.
.- An smart industry study approach in photovoltaic panels and FEM design.
.- Brazilian Bus Transport Efficiency: A Simar-Wilson DEA with Beta-Tobit Analysis.
.- Innovative approaches for smart cities.
.- Quantum-resilient smart cities: Cryptographic strategies and implementation challenge.
.- A biobjective model for task assignment with multi-skilled workers and customer deadlines in service companies.
.- QR-based traceability system for avocado production in Mexico.
.- Optimal Dispatch in a Multinodal AC Microgrid Model with Battery Energy Storage System (BESS) and Solid-State Transformer (SST).
.- Neural Network Approach for Super-resolution of a Digital Elevation Model.
.- Eddies as indicators of local sargassum inundation risks on the south coast of Dominican Republic.
.- Towards timely detection of student stress and anxiety.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
