Citrus diseases have been major issues for citrus growing worldwide for many years they can lead significantly reduce fruit quality. the most harmful citrus diseases are citrus canker, citrus greening, citrus black spot, citrus leaf miner which can h...
Recent advances in machine learning have led to the development of new methods for enhancing Monte Carlo methods such as Markov chain Monte Carlo (MCMC) and importance sampling (IS). One such method is normalizing flows, which use a neural network to...
Aug 16, 2025 · -march: generate instructions for a specific machine type. Defaults to x86-64-v3 on AMD64 and armv8-a on AArch64. Use -march=compatibility for best compatibility, or -march=native …
Detects reggaeton genre with Machine Learning and sends packets to disable BT speakers (hopefully) (⭐ 970)
This study is a technical supplement to "AI gone astray: How subtle shifts in patient data send popular algorithms reeling, undermining patient safety." from STAT News, which investigates the effect of time drift on clinically deployed machine learni...
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Cultural heritage applications and advanced machine learning models are creating a fruitful synergy to provide effective and accessible ways of interacting with artworks. Smart audio-guides, personalized art-related content and gamification approache...
Proof of Concept (POC) codes to try out different ideas in Machine Learning, Computer Science and Mathematics. (⭐ 9)
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Table of content (TOC) detection has drawn attention now a day because it plays an important role in digitization of multipage document. Generally book document is multipage document. So it becomes necessary to detect Table of Content page for easy n...
A sunspot catalogue was maintained by the Astronomical Observatory of Valencia University (Spain) from 1920 to 1928. Here we present a machine-readable version of this catalogue (OV catalog or OVc), including a quality control analysis. Sunspot numbe...
To improve the purity of coal and prevent damage to the coal mining machine, it is necessary to identify coal and rock in underground coal mines. At the same time, the mined coal needs to be purified to remove rock and gangue. These two procedures ar...
This document describes an approach to the problem of predicting dangerous seismic events in active coal mines up to 8 hours in advance. It was developed as a part of the AAIA'16 Data Mining Challenge: Predicting Dangerous Seismic Events in Active Co...
Machine learning, classification and prediction models have applications across a range of fields. Sport analytics is an increasingly popular application, but most existing work is focused on automated refereeing in mainstream sports and injury preve...
The Variational Auto-Encoder (VAE) is one of the most used unsupervised machine learning models. But although the default choice of a Gaussian distribution for both the prior and posterior represents a mathematically convenient distribution often lea...
MORNING TODAYthe ultimate news machine Welcome to our International News Coverage, where we bring you the latest headlines, breaking stories, and in-depth an...
Decision trees are powerful machine learning algorithms, widely used in fields such as economics and medicine for their simplicity and interpretability. However, decision trees such as CART are prone to overfitting, especially when grown deep or the...
MORNING TODAYthe ultimate news machine Welcome to our International News Coverage, where we bring you the latest headlines, breaking stories, and in-depth an...
Jan 22, 2026 · It is against Outlook.com policy to send mail from a machine which is an open proxy server, and it will be blocked from accessing some or all of Outlook.com servers as long as it remains â¦
my partner purchased one yesterday, it will be here tomorrow. i am ecstatic as i love espresso and was a barista a short while. he’s excited to receive tasty beverages. i’ve never personally had a...