26 skills found
noprompt / MeanderTools for transparent data transformation
shehzaadzd / MINERVAMeandering In Networks of Entities to Reach Verisimilar Answers
jh3y / MeandererA JavaScript micro-library for responsive CSS motion paths! :sparkles:
zsylvester / MeanderpySimple model of meander migration
abrclano / Meandering.Path一套自用的 Clash 分流规则与配置方案，采用预处理方式，适用 Clash for Windows、Clash Verge（verge-rev / nyanpasu）；还包含些许 Stash 的复写模块。
Vanille-N / Meander.typText threading and image wrap-around for Typst
ZhiLiHydro / PyRiverBedGenerate Synthetic Riverbed Topography for Meandering Rivers
Fil / D3 TricontourCreate contours from non-gridded data with meandering triangles.
knchaffin / MeanderMeander plugin module for VCV Rack
SpaceNetLab / SpaceRTC ProjectUser-perceived latency is important for the quality of experience (QoE) of wide-area real-time communications (RTC). This paper explores a futuristic yet important problem facing the RTC community: can we exploit emerging mega-constellations to facilitate low-latency RTC globally? We carry out our quest in three steps. First, through a measurement study associated with a large number of geo-distributed RTC users, we quantitatively expose that the meandering routes over the client-cloud segment and the inter-cloud-site segment in existing cloud-based RTC architecture are critical culprits for the high latency issue suffered by wide-area RTC sessions. Second, after analyzing the low-latency potential enabled by mega-constellations, we formulate the dynamic RTC latency minimization problem under the integrated space-ground environment, and propose SpaceRTC, a satellite-cloud cooperative framework that adaptively selects relay servers upon satellites and cloud sites to build an overlay network which enables diverse close-to-optimal paths, and then judiciously allocates RTC flows in the network to facilitate low-latency interactions. Finally, we implement a hardware-in-the-loop experimental environment based on public constellation information and RTC trace, and extensive experiments demonstrate that SpaceRTC can deliver near-optimal interactive latency, with up to 64.9% latency reduction as compared with other state-of-the-art cloud-based solutions under representative videoconferencing traffic.
ShaggyDog18 / SignalGeneratorSDSignalGeneratorSD based on AD9833 Module
zsylvester / Channelmapperworkflow for mapping and analyzing meandering channels in satellite imagery
zsylvester / Meandergrapha graph-based approach to describing meanders and point bars
lichendust / Meander📝 A powerful, portable utility for production screenplays and manuscripts
aparis69 / Meandering RiversSource code for the paper "Authoring and Simulating Meandering Rivers", published at Transactions on Graphics and presented at Siggraph Asia 2023.
zsylvester / CurvaturepyCode for analyzing the relationship between curvature and migration rate in meandering rivers
FluidMechanicsUNIPD / Meander Centerline Migration ModelSource code of the numerical model developed by Bogoni et al. WRR 2017 to simulate the long-term migration of meandering rivers flowing above self-formed heterogeneous floodplains.
otto-link / MeanderizeA python script to demonstrate how to mimic river meanders and oxbows formation
UpwardTrajectory / Meander MakerFind dense clusters for Theme-Walks or Topic Exploration with HDBSCAN and GoogleMaps API
AryaAftab / Two Steps GVF Snake ModelActive contours, or snakes, are widely used in medical image processing applications, mainly to locate the desired area boundaries. Gradient vector flow (GVF) field, like other methods of calculating external force fields, is proposed to address ordinary snake models’ problems, such as poor convergence in indentations and low accuracy in segmentation of objects owned weak borders. These problems are most pronounced in high-noise images, such as ultrasound images. In order to solve the problems more, we utilized the generalized gradient vector flow snake model using minimal surface and two steps converging using both vector based normalization and component-based normalization with distinct controlling parameters on active contour. We adopt minimal surface function to address the problem of low segmentation accuracy in other conventional methods. We also use two steps converging using both vector-based and component-based normalization with distinct controlling parameters to improve the snake curve converging into long and thin indentations plus higher accuracy in noisy and meandering areas. The results obtained and compared with other methods show that the proposed active contour model not only can converge better into long and thin indentations, along with maintaining weak boundaries but also shows higher accuracy in segmentation of tortuous areas, especially in noisy images.
