www.reddit.com/r/sysadmin/comments/1r8m3oq/446_of_my_firewalls_flow_table_is_brazilian/
*Edited to Add:* It appears that my diagnosis of this may have been completely wrong. With the additional data here: [https://www.reddit.com/r/sysadmin/comments/1r8m3oq/comment/o6f07ty/](https://www....
arxiv.org/abs/2105.14007v2
The branching fraction of the rare $B^0_s\rightarrowφμ^+μ^-$ decay is measured using data collected by the LHCb experiment at center-of-mass energies of $7$, $8$ and $13\,\rm{TeV}$, corresponding to integrated luminosities of $1$, $2$ and $6\,{\rm...
www.bing.com/ck/a?!&&p=02bdc9670e7feb1da536623e232b408fcc7833d2cbb6b1313304bf616061478dJmltdHM9MTc3MjMyMzIwMA&ptn=3&ver=2&hsh=4&fclid=17b56e2f-9861-646b-2b94-792099a36513&u=a1aHR0cHM6Ly93d3cuY2l0eS1kYXRhLmNvbS8&ntb=1
Stats about all US cities - real estate, relocation info, crime, house prices, schools, races, income, photos, sex offenders, maps, education, weather, home value ...
arxiv.org/abs/2301.05136v2
By using the Reggeometric Pomeron model for vector meson production which successfully describes the high energy lepton-nucleon data, we analyse the light meson production in ultra-peripheral heavy ion collisions at the Large Hadron Collider (LHC). T...
arxiv.org/abs/2410.03764v1
We used data from LexisNexis to determine the words in news media that best classifies countries as higher or lower peace. We found that higher peace news is characterized by themes of finance, daily actitivities, and health and that lower peace news...
arxiv.org/abs/2303.09570v1
We present an overview of the CANDELS Lyman-a Emission At Reionization (CLEAR) survey. CLEAR is a 130 orbit program of the Hubble Space Telescope using the Wide Field Camera 3 (WFC3) IR G102 grism. CLEAR targets 12 pointings divided between the GOODS...
arxiv.org/abs/2410.03749v1
This paper presents a machine learning approach to classify countries as peaceful or non-peaceful using linguistic patterns extracted from global media articles. We employ vector embeddings and cosine similarity to develop a supervised classification...
arxiv.org/abs/physics/0212055v1
A portion of 20 minutes of the GPS signals collected during the Bridge 2 experimental campaign, performed by ESA, have been processed. An innovative algorithm called Parfait, developed by Starlab and implemented within Starlab's GNSS-R Software pac...
arxiv.org/abs/2512.11833v1
We implemented a Soft Decision Tree (SDT) and a Short-term Memory Soft Decision Tree (SM-SDT) using PyTorch. The methods were extensively tested on simulated and clinical datasets. The SDT was visualized to demonstrate the potential for its explainab...
arxiv.org/abs/0901.0625v1
We report on observations of transit events of the transiting planets XO-1b and TrES-1 with the AIU Jena telescope in Grossschwabhausen. Based on our IR photometry (in March 2007) and available transit timings (SuperWASP, XO and TLC-project-data) w...
arxiv.org/abs/1202.2447v2
Regarding the intraday sequence of high frequency returns of the S&P index as daily realizations of a given stochastic process, we first demonstrate that the scaling properties of the aggregated return distribution can be employed to define a marting...
arxiv.org/abs/2507.09739v1
This study integrates real-time sentiment analysis from financial news, GPT-2 and FinBERT, with technical indicators and time-series models like ARIMA and ETS to optimize S&P 500 trading strategies. By merging sentiment data with momentum and trend-b...
arxiv.org/abs/1903.06318v1
To assist with the commissioning (Jiang et al. 2019) of the Five-hundred-meter Aperture Spherical radio Telescope (FAST), we performed a pulsar search, with the primary goal of developing and testing the pulsar data acquisition and processing pipelin...
github.com/aws-solutions-library-samples/guidance-for-fraud-detection-with-intelligent-document-processing-on-aws
This Guidance demonstrates how to build a comprehensive intelligent document processing (IDP) workflow that combines AWS AI services for enhanced fraud detection and data extraction. By leveraging key services like Amazon Bedrock and Amazon SageMaker AI, organ…
github.com/segments-ai/fast-labeling-workflow
Building large-scale datasets is a time-consuming endeavour, especially for tasks like image segmentation where the labels need to be very precise. This tutorial shows how you can speed up your labeling workflow for image segmentation with Segments.ai, using m…
arxiv.org/abs/2203.11400v3
One of the emerging research trends in natural language understanding is machine reading comprehension (MRC) which is the task to find answers to human questions based on textual data. Existing Vietnamese datasets for MRC research concentrate solely...
arxiv.org/abs/1211.0310v1
This white paper describes the LSST Dark Energy Science Collaboration (DESC), whose goal is the study of dark energy and related topics in fundamental physics with data from the Large Synoptic Survey Telescope (LSST). It provides an overview of dark...
arxiv.org/abs/1506.04332v1
We present Keck spectroscopic measurements of the millisecond pulsar binary J2215+5135. These data indicate a neutron-star (NS) mass M_NS=1.6Mo, much less than previously estimated. The pulsar heats the companion face to T_D~9000K; the large heating...
arxiv.org/abs/2304.07829v1
Software and systems traceability is essential for downstream tasks such as data-driven software analysis and intelligent tool development. However, despite the increasing attention to mining and understanding technical debt in software systems, spec...
arxiv.org/abs/2303.17183v1
Pre-training Large Language Models (LLMs) require massive amounts of text data, and the performance of the LLMs typically correlates with the scale and quality of the datasets. This means that it may be challenging to build LLMs for smaller languages...