25 skills found
tomwojcik / Starlette ContextMiddleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automatically use request headers such as x-request-id or x-correlation-id.
awslabs / Log Analyzer With MCPA Model Context Protocol (MCP) server that provides AI assistants access to AWS CloudWatch Logs for analysis, searching, and correlation
Tianyou-Bai / NASA Li Ion Battery SOH Prediction With MVIP TransThis research provides a prognostic framework for off-line SOH estimation of Li-ion battery. With a CNN-Transformer architecture, this program is capable of modeling the temporal correlations of battery signals from both local and global views. In this way, the learning ability of both local features and long period contexts will be enhanced.
skwasjer / Correlate.NET Core support for correlation ID in ASP.NET Core and HttpClient
transmart / TransmartApptranSMART is a knowledge management platform that enables scientists to develop and refine research hypotheses by investigating correlations between genetic and phenotypic data, and assessing their analytical results in the context of published literature and other work.
liqiokkk / FCtL[ICCV 2021] "From Contexts to Locality: Ultra-high Resolution Image Segmentation via Locality-aware Contextual Correlation" by Qi Li, Weixiang Yang, Wenxi Liu, Yuanlong Yu, Shengfeng He
gabrielserrao / Pyrestoolbox MCPModel Context Protocol (MCP) server for AI-powered reservoir engineering calculations. Integrates pyResToolbox with Claude AI for PVT analysis, well performance, simulation support, and more. 47 production-ready tools using industry-standard correlations.
henghuiding / SVC[CVPR-2019] Semantic Correlation Promoted Shape-Variant Context for Segmentation
skwasjer / Hangfire.CorrelateHangfire integration of Correlate to add correlation id support to Hangfire background/scheduled jobs.
chenqihuang / CACFNetContext-Aware Correlation Filter Layer
almerindo / Traceabilitymiddleware express to creates context and add trackId ( correlation Id). Configure logger winston to always print logs with trackId and timestamp
ZhiyaoZhao / Towards Measuring Shape Similarity Of Polygons Based On Multiscale Features And Grid Context DescripIn spatial analysis application, measuring the shape similarity of polygons is crucial for polyg-onal object retrieval and shape clustering. As a complex cognition process, measuring shape similarity should be able to find out the difference of polygons as objects in observation in terms of visual perception and the difference of the region, boundary, and structure formed by the polygons from the mathematic point of view. In the existing approaches, shape similarity of polygons is calculated by only comparing their mathematic characteristics while not taking the human perception into consideration. Aiming to solve this problem, we use the features of con-text and texture of polygons, since they are basic visual perception elements to fit the cognition purpose. In this paper, we propose a contour diffusion method for the similarity measurement of polygons. By converting a polygon into grid representation, the contour feature is represent-ed as a multiscale statistic feature, and the region feature is transformed into condensed grid context features. Instead of treating shape similarity as a distance between two representations of polygons, the proposed method observes it as a correlation between textures extracted by shape feature. The experiments show that the accuracy of the proposed method is superior to that of the turning function and Fourier descriptor.
JHvisionchen / Staple CA MatlabThe code for Context-Aware Correlation Filter Tracking in 2017 CVPR.
bilfeldt / Laravel Correlation IdDetermine request id and correlation id and attach those as global log context
ullasrk / Multiple Image Encryption Based On Mixed Image Element And ChaosNowadays, secure information exchange over internet is one of the biggest challenges. To provide security, Cryptography is a method of storing and transmitting data in a particular form so that only those for whom it is intended can read and process it. In most of the communication, secure image data transmission plays an important role. In this context to improve the encryption efficiency and facilitate, the secure transmission of multiple images, an image encryption using multiple images and chaotic functions is considered in this project. This project presents a new multiple-image encryption (MIE) algorithm based on the mixed image element and piecewise linear chaotic maps (PWLCM). Initially, sender combines original images into a big image, and divides it into many pure image elements. Secondly, the sender scrambles these pure image elements with the chaotic sequence generated by the PWLCM system to get mixed image elements. Thirdly, sender combines these mixed image elements into a big-scrambled image, and segments it into small images of size equal to original images. Finally, these small images i.e., encrypted images, are named with the filenames generated by another PWLCM system. The results obtained were analyzed using various performance evaluation methods like correlation, histogram, entropy, PSNR, NPCR, UACI. Experimental results and algorithm analyses show the new algorithm is very efficient and secure, which is suitable for practical image encryption.
zakirkun / DyA powerful, flexible, and efficient logging package for Go applications with advanced context handling and error correlation.
tranSMART-Foundation / TransmarttranSMART is a knowledge management platform that enables scientists to develop and refine research hypotheses by investigating correlations between genetic and phenotypic data, and assessing their analytical results in the context of published literature and other work. http://transmartfoundation.org/
AMSSwanglab / SpecVarSpecVar is a convenient tool for estimating interpretable genetic correlation of human complex traits and annotating the SNPs with context specific regulatory networks
Real4LA / Pocket Data ScientistAI-powered conversational data analysis app built with Streamlit, Ollama (Llama3), and Model Context Protocol (MCP). Explore and visualize CSV datasets through natural language — generate insights, detect correlations, and produce visualizations in real-time.
SolarNetwork / SolarquantThis is a toolset to experiment with correlations found between energy data sets and energy context data sets.
