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23 results for “uncertainty evaluation”
Water Management Policy Analysis under Uncertainty: A Coupled Simulation-Evaluation Model Based on Interval Positive Mathematical Programming
<p>Data for ICPMP model </p>
Evaluating Prognostics Performance for Algorithms Incorporating Uncertainty Estimates
Uncertainty Representation and Management (URM) are an integral part of the prognostic system development.1As capabilities of prediction algorithms evolve, research in developing newer and more competent methods for URM is gaining momentum.2Beyond initial concepts, more sophisticated prediction distributions are obtained that are not limited to assumptions of Normality and unimodal characteristics. Most prediction algorithms yield non-parametric distributions that are then approximated as known ones for analytical simplicity, especially for performance assessment methods. Although applying the prognostic metrics introduced earlier with their simple definitions has proven useful, a lot of information about the distributions gets thrown away. In this paper, several techniques have been suggested for incorporating information available from Remaining Useful Life (RUL) distributions, while applying the prognostic performance metrics. These approaches offer a convenient and intuitive visualization of algorithm performance with respect to metrics like prediction horizon and α-λ performance, and also quantify the corresponding performance while incorporating the uncertainty information. A variety of options have been shortlisted that could be employed depending on whether the distributions can be approximated to some known form or cannot be parameterized. This paper presents a qualitative analysis on how and when these techniques should be used along with a quantitative comparison on a real application scenario. A particle filter based prognostic framework has been chosen as the candidate algorithm on which to evaluate the performance metrics due to its unique advantages in uncertainty management and flexibility in accommodating non-linear models and non-Gaussian noise. We investigate how performance estimates get affected by choosing different options of integrating the uncertainty estimates. This allows us to identify the advantages and limitations of these techniques and their applicability towards a standardized performance evaluation method.
Data from the thesis diagnosis of waste, application possibilities and future demand for green coconut shells, with evaluation of information uncertainty
<p>Information about the quantities of green coconut shells disposed of in areas where the coconuts are consumed is not precise, which can make it difficult to arrange the management of these residues. Assessing the amount of coconut husk disposed of in a region, and the potential of this material for producing other products, will not only improve the environment, but will also contribute to the economic development and health of the population. Based on a structured face-to-face survey in a representative sample of seven municipalities in the southern coastal region of Bahia, this study identifies and maps the main points of consumption where the disposal of green coconut shells occurs, with an evaluation of the uncertainty of the data. The results show that the region annually wastes the equivalent of 1.7 M shell units with a standard uncertainty (<em>u</em>) of 1.2 k, and the amount of fibers that could be extracted for the manufacture of products is 632 t (<em>u</em> = 59 t). The use of the green coconut shells wasted in this region to create other products would lead to an annual reduction in emissions of between 10.2 t and 20.9 t of CH<sub>4</sub>. A survey conducted over the past ten years of the general framework for possible uses of the shells, and an analysis of strengths, weaknesses, opportunities and threats (SWOT), have shown that green coconut shells have potential for use in the production of gardening products, handicrafts, and briquettes. Valuation based on gardening products reveals that the region could produce 34 M (<em>u</em> = 47 k) units of biodegradable tubes for planting seedlings annually and could therefore generate a gross annual revenue of R$ 170 000 (<em>u</em> = 2 350). With regards to briquettes, considering only the municipality of Ilhéus, production could generate a gross value between R$ 2 190 and R$ 3 650 per month.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.