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Our framework consists of processes, methods, and a supporting tool.
Our framework consists of two components: 1) Learning Scheme Generator and Evaluator and 2) Effort Prediction.
Our framework consists of three sub-algorithms for action detection, activity recognition and waste estimation.
Our framework consists of three major modules, a data collection module, which gathers the data for the purpose of our study.
Our framework consists of four stationary controllers to generate concrete reaching motion and three transition controllers to stitch these stationary controllers automatically.
Our framework consists of four main elements: services in representation of data, logic, and physical entities, a hub service used for notifications, a service-discovery mechanism, and execution engines (see Figure 1).
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In short, our framework consisted of the following concepts: reach and recruitment, fidelity, dose delivered, dose received, context, implementation strategy and sustainability.
Our proposed framework consists of two main modules: parameter calculation and performance analysis.
Our analysis framework consists of system identification, resilience objective setting, vulnerability analysis, and stakeholder engagement.
Our proposed framework consists of three key steps: 1) an assessment of hydrological and institutional needs; 2) a market evaluation, including assessment of development and implementation issues; and 3) the monitoring, continuous/review and assessment of future needs; with a variety of questions needing assessment at each stage.
Our analytical framework consists of four steps.
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