arxiv.org/abs/2402.06991v1
We propose a guidance strategy to optimize real-time synthetic aperture sampling for occlusion removal with drones by pre-scanned point-cloud data. Depth information can be used to compute visibility of points on the ground for individual drone posit...
arxiv.org/abs/2303.01347v1
Natural language processing of Low-Resource Languages (LRL) is often challenged by the lack of data. Therefore, achieving accurate machine translation (MT) in a low-resource environment is a real problem that requires practical solutions. Research in...
arxiv.org/abs/2502.15864v1
In digital timber construction, scanning technologies and point cloud data are widely used due to the accessibility of affordable 3D sensors, photogrammetry, and user-friendly CAD tools. While typically not employed for accuracy checks in timber fabr...
arxiv.org/abs/0906.1217v1
We report the discovery of gamma-ray pulsations (> 0.1 GeV) from the young radio and X-ray pulsar PSR J0205+6449 located in the Galactic supernova remnant 3C 58. Data in the gamma-ray band were acquired by the Large Area Telescope aboard the Fermi...
arxiv.org/abs/2101.09219v1
Model-based experimental design is attracting increasing attention in chemical process engineering. Typically, an iterative procedure is pursued: an approximate model is devised, prescribed experiments are then performed and the resulting data is exp...
www.reddit.com/r/dataisbeautiful/comments/1qsb09b/oc_i_simulated_a_1_bet_on_23250_solana_memecoins/
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arxiv.org/abs/2201.01385v5
Random number generation is an important task in a wide variety of critical applications including cryptographic algorithms, scientific simulations, and industrial testing tools. True Random Number Generators (TRNGs) produce truly random data by samp...
www.bing.com/ck/a?!&&p=27adf4560e13cd9a7080dc69a825670e7c729d6c905372390b4e990dd9753a82JmltdHM9MTc3MjMyMzIwMA&ptn=3&ver=2&hsh=4&fclid=39cd7453-e8c8-6d63-08dc-6343e9d56cb6&u=a1aHR0cHM6Ly9jbG91ZC5nb29nbGUuY29tL2Nsb3VkLWNvbnNvbGU&ntb=1
Use the console to manage everything powering your cloud application: data analysis, VMs, datastore, databases, networking, and developer services.
www.bing.com/ck/a?!&&p=5d653e90308116a9834f3b5456b0e8a9b178fd6da484bffb00edf2d64d0d3ec5JmltdHM9MTc3MjMyMzIwMA&ptn=3&ver=2&hsh=4&fclid=39cd7453-e8c8-6d63-08dc-6343e9d56cb6&u=a1aHR0cHM6Ly9jbG91ZC5nb29nbGUuY29tLw&ntb=1
Meet your business challenges head on with AI and cloud computing services from Google, including security, data management, and hybrid & multi-cloud.
www.reddit.com/r/oukitel_official/comments/1hxpsck/wp33_pro_having_limited_or_no_connectivity_on/
I've noticed that my WP33 Pro has been a LOT of connectivity issues. I'll be sitting on full signal but when you check the drop-down drawer, it's the bars with an !, indicating that I AM connected, bu...
github.com/ankitsingh1240/machine-learning
fake news prediction using demonetization tweets data set (⭐ 2)
github.com/snowplow-referer-parser/referer-parser
Library for extracting marketing attribution data from referrer URLs (⭐ 378)
github.com/OnPage-Scraper/OnPage-Scraper
A Chrome extension for web scraping with visual element selection and data export. (⭐ 24)
arxiv.org/abs/2108.02191v2
Deep learning for recommendation data is one of the most pervasive and challenging AI workload in recent times. State-of-the-art recommendation models are one of the largest models matching the likes of GPT-3 and Switch Transformer. Challenges in dee...
arxiv.org/abs/2008.07961v1
In this work, we tackle the problem of ternary eye movement classification, which aims to separate fixations, saccades and smooth pursuits from the raw eye positional data. The efficient classification of these different types of eye movements helps...
www.bing.com/ck/a?!&&p=f2189458b5ddcf981f62235dc671483812fa7a81b9575859d6d3413a48318e95JmltdHM9MTc3MjMyMzIwMA&ptn=3&ver=2&hsh=4&fclid=24a296b7-5633-62cd-3ac8-81a757416323&u=a1aHR0cHM6Ly9zdXBwb3J0Lmdvb2dsZS5jb20vYW5hbHl0aWNzL2Fuc3dlci8xMDkxNzk1Mj9obD1lbg&ntb=1
By adding utm campaign parameters to the destination URLs you use in referral links and ad campaigns, you can view which campaigns refer traffic. When a user clicks a referral link, the URL …
arxiv.org/abs/1005.4267v1
The digital image data is rapidly expanding in quantity and heterogeneity. The traditional information retrieval techniques does not meet the user's demand, so there is need to develop an efficient system for content based image retrieval. Content ba...
arxiv.org/abs/2109.14299v2
Kernel-based schemes are state-of-the-art techniques for learning by data. In this work we extend some ideas about kernel-based greedy algorithms to exponential-polynomial splines, whose main drawback consists in possible overfitting and consequent o...
arxiv.org/abs/1010.2371v1
While there has been a lot of work on finding frequent itemsets in transaction data streams, none of these solve the problem of finding similar pairs according to standard similarity measures. This paper is a first attempt at dealing with this, argua...
arxiv.org/abs/2406.01007v2
This Letter reports the first measurement of the oscillation amplitude and frequency of reactor antineutrinos at Daya Bay via neutron capture on hydrogen using 1958 days of data. With over 3.6 million signal candidates, an optimized candidate selecti...