Advancements in Optimization and Nature-Inspired Computing for Solutions in Contemporary Engineering Challenges

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Introduction chapter.- Data mining to build the OD matrix in developing countries: preliminary analysis in an Argentinean case study.- Spatial – Temporal Trajectory Mining for sustainable Mobility and Transport.- Multiobjective evolutionary approach for flight planning of an autonomous fleet of unmanned aerial vehicles in exploration and surveillance missions.- Genetic algorithm for generating alternative corridor locations.- An optimization model for the investment portfolio allocation problem: case study.- Continuous User Authentication System using Different Biometrics.- Automation of Student marking system.- Mini review of models and algorithms for the Cell Switch-Off Optimization problem in 5G/6G telecommunications ultradense networks.- Enhancing Human-Computer Interaction through Vision-Based Hand Gesture Recognition: An OpenCV and Keras Approach.- Sustainable Creations: A Holistic Guide to Optimize Digital Footprints and Foster Climate-Conscious Innovation.- Biometric Insights - Harnessing Nature’s Blueprints for Advanced Computing Solutions.- Kalman Filtering Based on Interval Type-2 Evolving Takagi-Sugeno Fuzzy Model Via Multivariable Spectral Analysis of Experimental Data.- A Comparative Analysis of Machine Learning Classifiers in Demand Forecasting.- Optimizing Sorting Algorithms for Small Arrays: A Comprehensive Study of the Chunked Insertion Sort Approach.- Use of Neural Networks to model an inventory system as a family of industrial belts within the supply chain.- A system for making decisions in the subcontracting of transport providers.

Produktdetails
  • Erscheinungsdatum: 19.02.2025
  • Autor/Autorin: Diego Rossit
  • Reihe: Intelligent Technologies and Robotics (R0)
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 14.9 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 312 Seiten
  • ISBN: 9789819607068
  • Lieferung: Sofort per Download
  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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