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Smart Cities: 8th Ibero-American Congress, ICSC-Cities 2025, Puebla, México, November 1012, 2025, Revised Selected Papers [Pehme köide]

  • Formaat: Paperback / softback, 432 pages, kõrgus x laius: 235x155 mm, 157 Illustrations, color; 21 Illustrations, black and white
  • Sari: Communications in Computer and Information Science
  • Ilmumisaeg: 07-Apr-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032190185
  • ISBN-13: 9783032190185
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  • Formaat: Paperback / softback, 432 pages, kõrgus x laius: 235x155 mm, 157 Illustrations, color; 21 Illustrations, black and white
  • Sari: Communications in Computer and Information Science
  • Ilmumisaeg: 07-Apr-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032190185
  • ISBN-13: 9783032190185
This book constitutes the revised selected papers of the 8th Ibero-American Congress on Smart Cities, ICSC-Cities 2025, held in Puebla, México, during November 1012, 2025.



The 29 full papers included in these volumes were carefully reviewed and selected from 134 submissions. They were organized in the following topical sections: Internet of Things and Big Data; Computational Intelligence for Smart Cities; Optimization, Smart Industry, and Smart Public Services; and Innovative Approaches for Smart Cities.
.- 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 Vehiclesbased 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.