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Linda See

Researcher at International Institute for Applied Systems Analysis

Publications -  338
Citations -  13633

Linda See is an academic researcher from International Institute for Applied Systems Analysis. The author has contributed to research in topics: Land cover & Crowdsourcing. The author has an hindex of 55, co-authored 312 publications receiving 10755 citations. Previous affiliations of Linda See include International Institute of Minnesota & University College London.

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Land consolidation in Cyprus: Why is an Integrated Planning and Decision Support System required?

TL;DR: In this paper, an integrated planning and decision support system is proposed that integrates artificial intelligence technologies and multi-criteria decision methods with a geographical information system for use in routine land consolidation planning as well as for undertaking ex ante evaluations of land consolidation projects.
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Applying soft computing approaches to river level forecasting

TL;DR: The overall results indicate that this methodology may provide a well performing, low-cost solution, which may be readily integrated into existing operational flood forecasting and warning systems.
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A hybrid multi-model approach to river level forecasting

TL;DR: Four different approaches for integrating conventional and AI-based forecasting models to provide a hybridized solution to the continuous river level and flood prediction problem are presented.