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Cancer prognosis and diagnosis methods based on ensemble learning
Ensemble methods try to improve performance via integrating different kinds of input data,
features, or learning algorithms. In addition to other areas, they are finding their applications …
features, or learning algorithms. In addition to other areas, they are finding their applications …
Tools and methods in participatory modeling: Selecting the right tool for the job
Various tools and methods are used in participatory modelling, at different stages of the
process and for different purposes. The diversity of tools and methods can create challenges …
process and for different purposes. The diversity of tools and methods can create challenges …
Eight grand challenges in socio-environmental systems modeling
Modeling is essential to characterize and explore complex societal and environmental
issues in systematic and collaborative ways. Socio-environmental systems (SES) modeling …
issues in systematic and collaborative ways. Socio-environmental systems (SES) modeling …
Effective modeling for Integrated Water Resource Management: A guide to contextual practices by phases and steps and future opportunities
Abstract The effectiveness of Integrated Water Resource Management (IWRM) modeling
hinges on the quality of practices employed through the process, starting from early problem …
hinges on the quality of practices employed through the process, starting from early problem …
Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach
Abstract System-of-systems approaches for integrated assessments have become prevalent
in recent years. Such approaches integrate a variety of models from different disciplines and …
in recent years. Such approaches integrate a variety of models from different disciplines and …
A coupled flood-agent-institution modelling (CLAIM) framework for urban flood risk management
In this paper, we describe a modelling framework that allows the integration of human and
physical components of flood risk. Within this framework, flood risk management is …
physical components of flood risk. Within this framework, flood risk management is …
Field experiences and lessons learned from applying participatory system dynamics modelling to sustainable water and agri-food systems
Achieving the objectives of sustainable development in water and agri-food systems
requires the utilisation of decision-support tools in stakeholder-driven processes to construct …
requires the utilisation of decision-support tools in stakeholder-driven processes to construct …
A tiered, system-of-systems modeling framework for resolving complex socio-environmental policy issues
Many of the world's greatest challenges are complex socio-environmental problems, often
framed in terms of integrated assessment, resilience or sustainability. To resolve any of …
framed in terms of integrated assessment, resilience or sustainability. To resolve any of …
[HTML][HTML] The MODFLOW Application Programming Interface for simulation control and software interoperability
The MODFLOW API allows other programs to control MODFLOW and interactively change
variables without having to modify the source code. The MODFLOW API is based on the …
variables without having to modify the source code. The MODFLOW API is based on the …
The global environmental agenda urgently needs a semantic web of knowledge
Progress in key social-ecological challenges of the global environmental agenda (eg,
climate change, biodiversity conservation, Sustainable Development Goals) is hampered by …
climate change, biodiversity conservation, Sustainable Development Goals) is hampered by …