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734 results for “IP”
Extended_CLEF_IP_2011_Dataset
<p><strong>Extended CLEF-IP 2011 Dataset:</strong> We use the 2011 benchmark dataset of CLEF-IP [23] for visualization type classification. However, it does not cover block and</p><p>circuit diagrams, which are an important type of visualization frequently used in patents. We added this category as a tenth class and collected images by querying EPO's publication server (https://data.epo.org/publication-server/). Finally, we manually annotated images depicting block and circuit diagrams. The dataset statistics are provided in Table 1 (left).</p><p><strong>Paper title:</strong> Classification of Visualization Types and Perspectives in Patents</p><p><strong>Paper link: </strong><a href="https://link.springer.com/chapter/10.1007/978-3-031-43849-3_16 "><strong>https://link.springer.com/chapter/10.1007/978-3-031-43849-3_16 </strong></a></p><p><strong>Git repository link: </strong><a href="https://github.com/TIBHannover/PatentImageClassification"><strong>https://github.com/TIBHannover/PatentImageClassification</strong></a></p><p> </p><p><strong>Cite as:</strong></p><p>Ghauri, J.A., Müller-Budack, E., Ewerth, R. (2023). Classification of Visualization Types and Perspectives in Patents. In: Alonso, O., Cousijn, H., Silvello, G., Marrero, M., Teixeira Lopes, C., Marchesin, S. (eds) Linking Theory and Practice of Digital Libraries. TPDL 2023. Lecture Notes in Computer Science, vol 14241. Springer, Cham. https://doi.org/10.1007/978-3-031-43849-3_16</p><p>OR</p><p> </p><p>@InProceedings{10.1007/978-3-031-43849-3_16,</p><p>author="Ghauri, Junaid Ahmed</p><p>and M{\"u}ller-Budack, Eric</p><p>and Ewerth, Ralph",</p><p>editor="Alonso, Omar</p><p>and Cousijn, Helena</p><p>and Silvello, Gianmaria</p><p>and Marrero, M{\'o}nica</p><p>and Teixeira Lopes, Carla</p><p>and Marchesin, Stefano",</p><p>title="Classification of Visualization Types and Perspectives in Patents",</p><p>booktitle="Linking Theory and Practice of Digital Libraries",</p><p>year="2023",</p><p>publisher="Springer Nature Switzerland",</p><p>address="Cham",</p><p>pages="182--191",</p><p>abstract="Due to the swift growth of patent applications each year, information and multimedia retrieval approaches that facilitate patent exploration and retrieval are of utmost importance. Different types of visualizations (e.g., graphs, technical drawings) and perspectives (e.g., side view, perspective) are used to visualize details of innovations in patents. The classification of these images enables a more efficient search in digital libraries and allows for further analysis. So far, datasets for image type classification miss some important visualization types for patents. Furthermore, related work does not make use of recent deep learning approaches including transformers. In this paper, we adopt state-of-the-art deep learning methods for the classification of visualization types and perspectives in patent images. We extend the CLEF-IP dataset for image type classification in patents to ten classes and provide manual ground truth annotations. In addition, we derive a set of hierarchical classes from a dataset that provides weakly-labeled data for image perspectives. Experimental results have demonstrated the feasibility of the proposed approaches. Source code, models, and datasets are publicly available (https://github.com/TIBHannover/PatentImageClassification).",</p><p>isbn="978-3-031-43849-3"</p><p>}</p><p> </p>
Data Sets and Code for Simple formulas for pseudoposition for electrical resistivity and IP in vertical boreholes based on mean positions of the sensistivity
<p>Data and Matlab code in figures.</p>
IP men seats
Realized within the project of the sourced-based reconstruction of the New Synagogue in Wroclaw/Breslau (Poland). Link to the 3D model documentation: http://www.vfu-oppler.hs-mainz.de/en/wisski/navigate/6340/view. Supported by »The German Federal Government Commissioner for Culture and the Media « (02/2018-11/2019) and »The Foundation for Polish-German Cooperation« (05/2018). Magnified by https://architekturinstitut.hs-mainz.de/. Published under CC-BY-NC-SA 4.0. Source: Objaverse 1.0 / Sketchfab
Data for Secure communication in IP-based wireless sensor networks via a trusted gateway publication
<p>This archive file contains the raw data obtained from Contiki sensor nodes during Cooja experiments in the folders e2e, terminate, terminate_1st and plaintext.</p> <p>The archive accompagnies the IEEE ISSNIP 2015 publication titled "Secure communication in IP-based wireless sensor networks via a trusted gateway" by Floris Van den Abeele, Tom Vandewinckele, Jeroen Hoebeke, Ingrid Moerman and Piet Demeester.</p> <p><br /> Also included is the data_parser python script that converts the raw data into CSV files that are parseable by R. The script contains the definitions of the contents of the raw data files.<br /> Finally, the R scripts that use the CSV files to generate the plots from the paper are also included.</p>
ROS-Specific Huntingtin Interactions: IP Optimization in Patient-Derived Cells
<p>Optimization step in the lead up to mass spec identification of ROS-specific huntingtin protein-protein interactions.</p>
IP Aron Hakodesch
Realized within the project of the sourced-based reconstruction of the New Synagogue in Wroclaw/Breslau (Poland). Link to the 3D model documentation: http://www.vfu-oppler.hs-mainz.de/en/wisski/navigate/6331/view. Supported by »The German Federal Government Commissioner for Culture and the Media « (02/2018-11/2019) and »The Foundation for Polish-German Cooperation« (05/2018). Magnified by https://architekturinstitut.hs-mainz.de/. Published under CC-BY-NC-SA 4.0. Source: Objaverse 1.0 / Sketchfab
Warm-Cold Season ORs for ED Asthma, IP Asthma, IP MI, and IH HF
<p>Four graphs display warm-cold season odds ratios (ORs) for emergency department asthma, inpatient asthma, IP myocardial infarction, and IP heart failure in the Baltimore study area 99 12 km<sup>2</sup> Community Multiscale Air Quality grids, and in grids with and without on-the-ground ambient fine PM air monitors.</p>
Chromatin-IP-MS raw data
<p>Immunoprecipitated proteins by Flag-Polη were resolved by SDS-PAGE, excised and in-gel digested with trypsin, and analyzed by liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) on a Thermo Orbitrap Fusion Lumos mass spectrometer.</p>
IP gallery part
Realized within the project of the sourced-based reconstruction of the New Synagogue in Wroclaw/Breslau (Poland). Link to the 3D model documentation: http://www.vfu-oppler.hs-mainz.de/en/wisski/navigate/6327/view. Supported by »The German Federal Government Commissioner for Culture and the Media « (02/2018-11/2019) and »The Foundation for Polish-German Cooperation« (05/2018). Magnified by https://architekturinstitut.hs-mainz.de/. Published under CC-BY-NC-SA 4.0. Source: Objaverse 1.0 / Sketchfab
Seen Time Dataset of Malicious DNS IPs (October 2021)
<p><span>This collection consists of two complementary datasets focused on the seen time records of IP addresses involved in DNS-related attacks targeting port 53, identified in October 2021. The datasets were constructed using open-source intelligence (OSINT) sources and enriched with historical data from AbuseIPDB.</span></p> <p><strong><span>Raw Data</span></strong></p> <p><span>Description: This dataset includes the full historical seen time records for all IP addresses linked to DNS-related attacks on port 53, as identified by OSINT in October 2021. The data, sourced from AbuseIPDB, encompasses 173 IP addresses before preprocessing, providing a comprehensive view of the observed malicious activities.</span></p> <p><strong><span>Preprocessed Data</span></strong></p> <p><span>Description: This dataset provides the preprocessed seen time records for IP addresses involved in DNS-related attacks on port 53, sourced from OSINT and enriched with data from AbuseIPDB. The preprocessed dataset narrows the focus to 111 IP addresses, each with at least 20 seen time records, offering a high-quality subset for detailed cybersecurity analysis and research into DNS attack trends.</span></p>
Validating Instructional Practice Scale (IPS) for University Instructors: Confirmatory Factor Analysis
<p>.csv dataset for the study "validating instructional practice scale for instructors in some selected Ethiopian public universities: confirmatory factor analysis"</p>
Fig. 1 in Occurrence of pathogens in populations of Ips typographus, Ips sexdentatus (Coleoptera, Curculionidae, Scolytinae) and Hylobius spp. (Coleoptera, Curculionidae, Curculioninae) from Austria, Poland and France
Fig. 1. Sampling sites in Austria (no. 1–22), Poland (no. 23–34) and France (no. 35–46).
Key Resource Table associated with "Endo-IP and Lyso-IP Toolkit for Endolysosomal Profiling of Human Induced Neurons"
<p>This entry contains a Key Resource table associated with: https://doi.org/10.1101/2024.09.24.614704</p>
Data and analysis scripts for "Mad7: An IP friendly alternative to Cas9"
<p>This is the raw data and analysis scripts for "Mad7: An IP friendly alternative to Cas9"</p>
Effect Evaluation of Individual Placement and Support (IPS)
ClinicalTrials.gov study NCT01964092. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Spring dispersal and reproductive potential Ips typographus
Open the record for dataset details and reuse information.
Data from: Peeking under the bark: Within-tree densities of the spruce bark beetle (<em>Ips typographus</em>) and its enemies in forest conservation areas
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Reproductive activity and diapause induction in Ips typographus
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Data from: Size-dependent behavioral and antennal responses to doses of (+)-isopinocamphone and 1,8-cineole mixed with pheromone: a potential host selection strategy in female Ips typographus L.
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I-BiDaaS - CAIXA - IP addresses - Tokenised Dataset
<p>The generated dataset provides data on the relationships between customers in order to build part of the social graph of the bank. The data was collected from the logs of connections to the online banking of CaixaBank customers and stored in the entity’s Datapool for security and fraud prevention reasons. More concretely the data is coming from a set of restricted tables (relational database), with information related to the customers and their IP address when connecting online, used afterwards to see potential relationships between users’ and skip or enhance the security controls on eventual bank transfers between the connected users.</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.