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Information-gap decision theory (IGDT): a new promising method for management of uncertainties in hydropower projects: case study

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Information-gap decision theory (IGDT): a new promising method for management of uncertainties in hydropower projects: case study

Chat with Graph Search

Co-Design Optimisation of Morphing Topology and Control of Winged Drones

The Current State of the OBI DICT Project: A Bilingual e-Dictionary of Oracle-Bone Inscriptions with AI Image Recognition

The microbial genomics of glacier-fed streams: adaptations to an extreme ecosystem

Climate Change Contributions to Increasing Compound Flooding Risk in New York City

An explorative method to support design decisions based on carbon constraints and daylight sufficiency needs

Design ontology for cognitive thread supporting traceability management in model-based systems engineering

The impacts of decarbonization pathways on Sustainable Development Goals in the European Union

Technology-Aware Logic Synthesis for Superconducting Electronics

Renaturation of urban rivers as a climate adaptation strategy Case study in Geneva, Switzerland

Euclid: The search for primordial features

Strategy to systematically design and deploy the ITER plasma control system: A system engineering and model-based design approach

An aircraft assembly process formalism and verification method based on semantic modeling and MBSE

Impact of anthropogenic emission control in reducing future PM2.5 concentrations and the related oxidative potential across different regions of China

Network time series forecasting in photovoltaics power production

The Effect of Rivers on Energy Balance at the Neighborhood Scale. A comparative analysis of four Rhodanian sites in France and Switzerland

Surface segregation in high-entropy alloys from alchemical machine learning

Impact of CO2-rich seawater injection on the flow properties of basalts

From roots to canopy: Unraveling the influence of species diversity on tree water relations under warmer and drier climates

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation