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arxiv.org/abs/1912.05222v1
The task of detecting and classifying damages in sewer pipes offers an important application area for computer vision algorithms. This paper describes a system, which is capable of accomplishing this task solely based on low quality and severely comp...
arxiv.org/abs/2103.10895v1
Perhaps surprisingly sewerage infrastructure is one of the most costly infrastructures in modern society. Sewer pipes are manually inspected to determine whether the pipes are defective. However, this process is limited by the number of qualified ins...
arxiv.org/abs/2302.14548v2
Due to the long runtime of Data Science (DS) pipelines, even small programming mistakes can be very costly, if they are not detected statically. However, even basic static type checking of DS pipelines is difficult because most are written in Python....
arxiv.org/abs/2402.10090v1
The growing volume of digital images necessitates advanced systems for efficient categorization and retrieval, presenting a significant challenge in database management and information retrieval. This paper introduces PICS (Pipeline for Image Caption...
arxiv.org/abs/2404.11725v1
Accurately assessing tumor removal is paramount in the management of glioblastoma. We developed a pipeline using MRI scans and neural networks to segment tumor subregions and the surgical cavity in postoperative images. Our model excels in accurately...
github.com/databrickslabs/dlt-meta
Metadata driven Spark Declarative Pipelines framework for bronze/silver pipelines (⭐ 247)
arxiv.org/abs/2404.11828v1
This study introduces a new approach to optimize the geometrical parameters of pipe diffusers in centrifugal compressors for Micro Gas Turbines, tailored for a 100 kW unit. The methodology draws insights from optimized airfoil-type diffusers and addr...
arxiv.org/abs/2110.14983v2
Pipe flow often traverses a regime where laminar and turbulent flow co-exist. Prandtl and Tietjens explained this intermittency as a feedback between the fluctuations of the internal flow resistance and the constant pressure drop driving the flow. Ho...
arxiv.org/abs/2508.16518v1
We have developed an Uncertainty Quantification process for multistep pipelines and applied it to the ACORN particle tracking pipeline. All our experiments are made using the TrackML open dataset. Using the Monte Carlo Dropout method, we measure the...
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Jan 1, 2018 · I live in Maine and for the past week it has been below zero at night with the wind chill. I noticed that my 2 inch flexible metal pipe that I use for my Fresh Air Inlet is frosting up between my …
arxiv.org/abs/2302.11135v2
A real-time stuck pipe prediction methodology is proposed in this paper. We assume early signs of stuck pipe to be apparent when the drilling data behavior deviates from that from normal drilling operations. The definition of normalcy changes with dr...
arxiv.org/abs/2503.07440v1
Stuck pipe incidents are one of the major challenges in drilling engineering,leading to massive time loss and additional costs.To address the limitations of insufficient long sequence modeling capability,the difficulty in accurately establishing warn...
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Feb 27, 2010 · Hi guys, I need to prepare pipe penetration (vertical and horizontal) details on structural members (beams, slabs, walls and staircase). Any reference that...
arxiv.org/abs/1603.09723v1
We present a functional model of neuronal network connectivity in which the single architectural element is the object commonly known in handicraft circles as a pipe cleaner. We argue that the dual nature of a neuronal circuit - that it be at times h...
arxiv.org/abs/1802.03980v2
In this paper, we show how absolute orientation measurements provided by low-cost but high-fidelity IMU sensors can be integrated into the KinectFusion pipeline. We show that integration improves both runtime, robustness and quality of the 3D reconst...
arxiv.org/abs/1706.00523v2
We consider slowly evolving, i.e. ADIABATIC, operational regime within a transmission level (continental scale) natural gas pipeline system. This allows us to introduce a set of nodal equations of reduced complexity describing gas transients in injec...
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Veradermics is advancing a focused pipeline of product candidates designed to address high-value dermatologic conditions with limited proven solutions, combining proven mechanisms with innovative …
