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5,573 results for “optimality”
CNF Encoded Isomorphic and Optimized Miters from Hardware Model Checking Competition 2020 Models
<p>From the Hardware Model Checking Competition 2020 we have collected 324<br>sequential model checking problems and for each generated an isomorphic and<br>an optimized miter. The isomorphic miters just compares two identical<br>copies while for the optimized miter one copy went through optimization<br>with ABC using the `dc2` command.</p> <p>The CNFs are generated with a new version of `aigtocnf` which detects<br>XOR and ITE gates in the AIGER circuit and if detected uses a more compact<br>encoding (4 clauses clauses instead of 9) for each detected gate.</p>
ParaturboCAD Dataset of R134a HGJB Supported Centrifugal Compressors Optimized Across Varied Mass Flows
<p>This dataset showcases the capabilities of the ParaturboCAD Python library in automatically generating CAD models of optimized gas-bearing supported turbocompressors. Using input from NSGA-III driven optimizations that yield abstract/1D parameters, ParaturboCAD efficiently maps these parameters to detailed 3D geometries. Each model, provided in both STEP and STL formats, represents each of the subsystems and the final turbocompressor assembly. Designed to operate with R134a refrigerant, these centrifugal compressors are optimized for various nominal mass flows, demonstrating the library's proficiency in translating optimization results into practical, manufacturable designs. With an average generation time of less than 7 minutes per design on a 12 cores CPU clocked at 4.3HGz, this dataset not only validates the efficiency of ParaturboCAD but also serves as a valuable tool for researchers and engineers focusing on advanced compressor design and manufacturing processes.</p>
Numerical data supporting the publication "Accurate and gate-efficient quantum Ansätze for electronic states without adaptive optimization"
<p>Numerical data and plotting scripts for regenerating figures in the article "Accurate and gate-efficient quantum ansätze for electronic states without adaptive optimisation".</p> <p>See README for more details.</p>
Dataset - Flux Profile Optimization of a High-Flux Solar Simulator Using the Trust-Region Reflective Method
<p>This dataset accompanies</p> <p>DOI: 10.1080/14786451.2024.2355651</p> <p>Title: Flux Profile Optimization of a High-Flux Solar Simulator Using the Trust-Region Reflective Method</p> <p>Authors: Mohammed Hamid Hussain</p> <p>Journal: International Journal of Sustainable Energy</p> <p> </p>
Data for Optimal Estimation of Under-Frequency Load Shedding Scheme Parameters by Considering Virtual Inertia Injection
<p> <span>The data presented are related to the paper entitled</span> <span>Optimal Estimation of </span><span>Under-Frequency Load Shedding Scheme Parameters by Considering Virtual Inertia Injection</span><span>, available in </span><span>Energies journal. Here, data are included to show the results of an Under Frequency Load Shedding</span> <span>(UFLS) scheme that considers the injection of virtual inertia by a VSC-HVDC link. The data obtained</span> <span>in six cases that were considered and analyzed are shown. In this case, each case represents a different</span> <span>frequency response configuration in the event of generation loss, taking into account the presence or</span> <span>absence of a VSC-HVDC link, traditional and optimized UFLS schemes, as well as the injection of</span> <span>virtual inertia by the VSC-HVDC link. Data for each example contains: state of the relay, threshold,</span> <span>position in every delay, load shed, and relay configuration parameters. Data were obtained through</span> <span>Digsilent Power Factory and Python simulations. The purpose of this dataset is that other researchers</span> <span>can reproduce the results reported in our paper</span></p>
Dataset related to Deliverable 2.2 - Report on functional, nutritional, and sensory characteristics of three optimized alternative proteins
<p>Dataset related to Deliverable 2.2 - Report on functional, nutritional, and sensory characteristics of three optimized alternative proteins</p>
Bayesian Uncertainty Quantification and Optimization of Jet Grout Column Diameter Prediction
<p><span>This dataset includes the jet grout data compiled from published case histories for Bayesian Uncertainty Quantification and Optimization of Jet Grout Column Diameter Prediction.</span></p>
Machine Learning Tools for Peptide Bioactivity Evaluation Implications for Cell Culture Media Optimization and the Broader Cultivated Meat Industry
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Test and Train data for the retrieval experiment in "A molecule generation-oriented lead compound optimization architecture: discovery of potent, selective, oral NLRP3 inflammasome inhibitors"
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Output data from the optimization of an industrial waste heat recovery system
<p>Output data from the multi objective optimization of a ORC-District Heating recovery system for industrial waste heat exploitation</p> <p> </p>
MATLAB codes for paper: UBO-EREX: Uncertainty Bayesian-Optimized Extreme Recurrent EXpansion for Degradation Assessment of Wind Turbine Bearings
<p>These codes belong to the following paper. Please cite our work.</p> <p>Berghout T, Benbouzid M. UBO-EREX: Uncertainty Bayesian-Optimized Extreme Recurrent EXpansion for Degradation Assessment of Wind Turbine Bearings. <em>Electronics</em>. 2024; 13(12):2419. https://doi.org/10.3390/electronics13122419</p>
IoT Sensor based Sports Activity Monitoring using Skill Inheritance and Optimization based on AI
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Determination of Optimal Thermal Comfort Conditions in the Iron Smelting Industry Work Environment Using Firefly Algorithm
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
Humans flexibly use visual priors to optimize their haptic exploratory behaviour
<p>datasets of the first, second and third experiment</p> <p>for each subject, there is one .raw file and one folder containing the .trj movement data files of each trial.</p> <p>the .trj files contain the variables (columns left to right): time in ms, x, y, z, force, velocity, position (-1 not on stim, 0 left, 1 right), inStimPos (-1 not, 0 outerstim, 1 innerstim)</p> <p>the .raw files contain the variables (columns left to right): block nr, trial nr, randomization nr, stimulus orientation, visual quality, startstim (0 left 1 right), ref stim, comp stim (always < ref), chosenStim, force. in exp2&3, ref stim and comp stim have the numbers 1xx for the "hard" block and 2xx for the "easy" block.</p>
Digital Transformation to Optimize the BBI (Proudly Made in Indonesia) National Movement for Tourism and Creative Economy Actors in the Borobudur Tourism Area, Salaman District, Magelang
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
Optimized Ensemble Algorithm of SVMD-SVR+BiLSTM for Short-Term Forecasting of Earth Rotation Parameters
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Electronic Companion - Accelerated Benders Decomposition for Enhanced Co-Optimized T&D System Planning
<p>This release is associated with a paper entitled "Accelerated Benders Decomposition for Enhanced Co-Optimized T&D System Planning".</p> <p>In this document, we include information regarding the physical parameters of the transmission and distribution power systems adopted to present the results shown in the paper. Additionally, data regarding investment and operative costs, as well as the scenarios used to describe the uncertainty of renewable-based generation availability and demand, are provided in this document.</p>
Optimized structures of imine-linked donor-acceptor covalent organic frameworks
<p>Structures of covalent organic frameworks (COFs) optimized using PBE+D3. Includes the pure COFs, protonated versions (with ascorbate as the anion), and intermediates of the oxygen evolution and hydrogen evolution reactions. The COFs were experimentally described by Yang et al., Nature Commun. 13, 6317, 2022 (DOI: <a title="Externen Link im neuen Fenster öffnen" href="http://doi.org/10.1038/s41467-022-33875-9" target="_top">10.1038/s41467-022-33875-9</a>).</p> <p>This set of files is part of a manuscript published in Phys. Chem. Chem. Phys: <a title="Link to landing page via DOI" href="https://doi.org/10.1039/D4CP02019G">https://doi.org/10.1039/D4CP02019G</a></p>
Nasal organoids as optimal models for studying structure and function of primary nasal epithelial cell cultures - DIA-MS Dataset
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Multi-Scale Computational Design of Metal-Organic Frameworks for Carbon Capture Using Machine Learning and Multi-Objective Optimization
<p>This repository contains CIF files for metal-organic frameworks and Grand canonical Monte Carlo (GCMC) simulation results for the article <em>Multi-Scale Computational Design of Metal-Organic Frameworks for Carbon Capture Using Machine Learning and Multi-Objective Optimization</em> by Zijun Deng and Lev Sarkisov.</p>
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.