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Dataset results
14 results for “AI planning”
Mutation-guided Metamorphic Testing of Optimality in AI Planning
<p>Experimental results presented in the article <em>Mutation-guided Metamorphic Testing of Optimality in AI Planning</em>, both the figures and the raw data.</p> <p> </p> <p>The framework itself is hosted on GitHub (see the link below).</p> <p>In order to use the data with the framework, unzip the files of the archive <em>results.zip</em> inside the folder <em>results/</em>.</p>
Data from: Using satellite AIS to improve our understanding of shipping and fill gaps in ocean observation data to support marine spatial planning
1. A key stage underpinning marine spatial planning (MSP) involves mapping the spatial distribution of ecological processes and biological features, as well the social and economic interests of different user groups. One sector, merchant shipping (vessels that transport cargo or passengers), however, is often poorly represented in MSP due to a perceived lack of fine-scale spatially explicit data to support decision making processes. 2. Here, using the Republic of Congo as an example, we show how publicly accessible satellite derived Automatic Identification System (S-AIS) data can address gaps in ocean observation data for shipping at a national scale. We also demonstrate how fine-scale (0.05 km2 resolution) spatial data layers derived from S-AIS (intensity, occupancy) can be used to generate maps of vessel pressure to provide an indication of patterns of impact on the marine environment and potential for conflict with other ocean-user groups. 3. We reveal that passenger vessels, offshore service vessels, bulk carrier and cargo vessels and tankers account for 93.7% of all vessels and vessel traffic annually, and that these sectors operate in a combined area equivalent to 92% of Congo's exclusive economic zone(EEZ) – far exceeding the areas allocated for other user-groups (conservation, fisheries and petrochemicals). We also show that the shallow coastal waters and habitats of the continental shelf are subject to more persistent pressure associated with shipping; and that the potential for conflict among user groups is likely to be greater with fisheries, whose zones are subject to the highest vessel pressure scores than with conservation or petrochemical sectors. 4. Synthesis and applications. Shipping dominates ocean use, and so excluding this sector from decision making could lead to increased conflict among user groups, poor compliance and negative environmental impacts. This study demonstrates how Satellite derived Automatic Identification System data can provide a comprehensive mechanism to fill gaps in ocean observation data and visualise patterns of vessel behaviour and potential threats to better support marine spatial planning at national scales.13-Feb-2018
Evaluating AI-generated Research Plans - Appendix
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Experimental Results for the PRICAI 2023 Paper ``Detecting AI Planning Modelling Mistakes -- Potential Errors and Benchmark Domains''
<p>This repository contains data related to the following paper:</p> <p>An overview of which domains have been tested on which software, refer to the following paper:<br> @InProceedings{Sleath2023PossibleModelingErrors,<br> author = {Kayleigh Sleath and Pascal Bercher},<br> title = {Detecting AI Planning Modelling Mistakes -- Potential Errors and Benchmark Domains},<br> booktitle = {Proceedings of the 20th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2023)},<br> year = {2023},<br> publisher = {Springer}<br> }</p> <p>Specifically, it contains:</p> <p>- the benchmarks used in the paper.<br> - screenshots of the output of call commands to the respective software artifacts<br> (the actual call commands are only contained in some of them)<br> - excel tables collecting the results</p> <p>Please note:</p> <p>(1) These benchmark problems are just copied in here for the sake of completeness and transparency. But if you are actually interested in using them, please use the newest version, which might have corrections and additional test cases. You find it here: https://github.com/ProfDrChaos/flawedPlanningModels</p> <p>(2) Please also note that the screenshots of our tests might not perfectly fit the folder structure of our benchmarks because we made some minor restructurings after the paper submission. Specifically, some test cases that we classified as syntactical in the submission were then changed into a semantic ones for the camera-ready version. (Hence the paths in the screenshots or tables might be slightly different.)</p> <p>(3) Also note that by the time you read this, several errors undetected by these systems at the time of the evaluation might be resolved by now. (We included the version numbers of the tested software.)</p>
Data from: Using satellite AIS to improve our understanding of shipping and fill gaps in ocean observation data to support marine spatial planning
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Additional data for "AI-driven Integrated Online Layout Planning and Scheduling in Flexible Assembly Systems"
<p>Additional data for the thesis on "Integrated online layout planning and scheduling in flexible<br>assembly systems".</p>
THE ROLE OF AI TOOLS LIKE CHATGPT AND GEMINI IN CREATING CUSTOMIZED EDUCATIONAL PLANS FOR PARENTS AND BEHAVIOR SPECIALISTS
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AI-Assisted Facial Surgical Planning
ClinicalTrials.gov study NCT04319055. IPD Sharing: NO. Countries: 1. Publications: 0.
Stereotactic Body Radiation Therapy Planning With Artificial Intelligence-Directed Dose Recommendation for Treatment of Primary or Metastatic Lung Tumors, RAD-AI Study
ClinicalTrials.gov study NCT05802186. IPD Sharing: Not stated. Countries: 1. Publications: 0.
AI-Driven Quantitative Decision and Surgical Planning System for Liver Cancer
ClinicalTrials.gov study NCT07042841. IPD Sharing: NO. Countries: 1. Publications: 0.
On-treatment Adaptation of Head and Neck Cancer Dosimetry Plans Using Novel Cone-beam CT and AI-driven Software
ClinicalTrials.gov study NCT05666193. IPD Sharing: NO. Countries: 1. Publications: 0.
Gustabor Phase 1 - AI-based Creation of a Nutritional Plan to Compensate for Chemotherapy-induced Taste Disorders
ClinicalTrials.gov study NCT07040189. IPD Sharing: Not stated. Countries: 1. Publications: 0.
AI-Guided Treatment Planning in Orthodontic Patients With Missing Upper Lateral Incisors
ClinicalTrials.gov study NCT07133867. IPD Sharing: Not stated. Countries: 1. Publications: 0.
AI-assisted Preoperative Planning Technology for THA for DDH
ClinicalTrials.gov study NCT05929105. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
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.