https://www.analyticsvidhya.com/blog/2021/04/wine-quality-prediction-using-machine-learning/?utm_source=reading_list&utm_medium=https://www.analyticsvidhya.com/blog/2020/12/lets-open-the-black-box-of-random-forests/
In this article we are going to understand how to categorise the wine quality with Machine Learning(ML) in Python using a dataset
using machinewinequalitypredictionlearning
https://pubmed.ncbi.nlm.nih.gov/39263525/
The findings demonstrate that simple machine learning models can successfully identify individuals at higher fall risk based on gait characteristics, with...
risk predictionmachine learningfallusingtemporal
https://www.nist.gov/publications/generating-synthetic-sensor-data-facilitate-machine-learning-paradigm-prediction-0
This paper presents a learning-by-synthesis approach to facilitate the utilization of a machine learning paradigm to enhance situational awareness for fire figh
sensor datamachine learninggeneratingsyntheticfacilitate
https://www.pharmacytimes.com/view/machine-learning-models-improve-prediction-of-ckd-progression-to-end-stage-renal-disease
In a recent study, machine learning demonstrated its ability to predict progression to end-stage renal disease among patients with chronic kidney disease (CKD).
machine learning modelsimprovepredictionckdprogression
https://www.inderscience.com/info/inarticle.php?artid=135798
Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science,...
chronic diseaseusing machinearticlecoughtype
https://www.jmir.org/2019/4/e11029/
Background: Virtually, all organisms on Earth have their own circadian rhythm, and humans are no exception. Circadian rhythms are associated with various human...
internet researchjournalmedicalmoodprediction
https://www.mdpi.com/books/reprint/8543-machine-learning-modeling-for-spatial-temporal-prediction-of-geohazard
Geohazards, such as landslides, rock avalanches, debris flow, ground fissures, and ground subsidence, pose a significant threat to peoples lives and property....
machine learningmodelingspatialtemporalprediction
https://www.analyticsvidhya.com/blog/2022/05/ipl-team-win-prediction-project-using-machine-learning/?utm_source=reading_list&utm_medium=https://www.analyticsvidhya.com/blog/2021/06/build-web-app-instantly-for-machine-learning-using-streamlit/
In today's article, we will discuss the IPL team win prediction project using ML and get familiar with featured engineering. Read Now!
using machineiplteamwinprediction
https://openreview.net/forum?id=wpdLr5GmTz&referrer=%5Bthe%20profile%20of%20Bruno%20Castro%20da%20Silva%5D(%2Fprofile%3Fid%3D~Bruno_Castro_da_Silva1)
Machine learning models are often designed to maximize a primary goal, such as accuracy. However, as these models are increasingly used to inform decisions...
machine learningbeyondpredictionmanagingrepercussions
https://www.nist.gov/publications/machine-learning-based-prediction-melt-pool-morphology-laser-based-powder-bed-fusion
Laser-based powder bed fusion (L-PBF) has become the de facto choice for metal additive manufacturing (AM) processes.
machine learningbasedpredictionmeltpool
https://www.esilv.fr/portfolios/pi%c2%b25-machine-learning-for-rating-and-default-prediction/
Jun 5, 2025 - Projet d’Innovation Industrielle d’année 5 (PI²5) du cycle ingénieur ESILV, 2024-2025 The objective is to predict a credit risk in terms of rating...
machine learningratingdefaultpredictionesilv
https://www.frontiersin.org/research-topics/63817/machine-learning-and-cutting-edge-tools-for-prediction-and-treatment-strategies-of-dementia-and-associated-diseases
Dementia, characterized by substantial cognitive decline and impairment of daily functioning, is a global health challenge that continues to increase. Recent...
cutting edge toolsmachine learningfrontiersprediction
https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2022.897903/full
Hemorrhage transformation (HT) is the most dreaded complication of intravenous thrombolysis (IVT) in acute ischemic stroke (AIS). The prediction of HT after ...
machine learningfrontiersbasedmodelprediction
https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2024.1425713/full
IntroductionFalls have been acknowledged as a major public health issue around the world. Early detection of fall risk is pivotal for preventive measures. Tr...
risk predictionfrontiersfallusingtemporal
https://www.dexerto.com/youtube/linus-tech-tips-reveals-steam-machine-price-prediction-as-valve-want-it-to-be-good-deal-3288105/
Nov 28, 2025 - Linus Tech Tips has made his official prediction for the price of the Steam Machine after saying that he was “disappointed” Valve wouldn’t price it like...
linus tech tipssteam machineprice predictionrevealsvalve
https://www.nist.gov/publications/explainable-machine-learning-based-flashover-prediction-model-using-dimension-wise
This paper presents the development of an explainable machine learning based flashover prediction model, named xFlashNet.
explainable machine learningbasedflashoverpredictionmodel
https://link.springer.com/article/10.1186/s40168-025-02269-6?error=cookies_not_supported&code=1b4bcc30-4d85-478d-9c92-3eb8cdf95743
Dec 29, 2025 - Accurately forecasting the dynamic behavior of microbial communities from sparse longitudinal data remains a critical challenge for microbiome-based precis
machine learning frameworkmicrobial communitytemporalawareenables
https://www.nist.gov/publications/data-processing-pipeline-prediction-milling-machine-tool-condition-raw-sensor-data
With recent advances in sensor and computing technology, it is now possible to use real-time machine learning techniques to monitor the state of manufacturing m
data processingmilling machinepipelinepredictiontool
https://www.mygreatlearning.com/academy/learn-for-free/courses/ipl-winner-prediction-using-machine-learning
In this course, IPL dataset is taken to analyze the metrics of different teams in IPL. Libraries such as pandas, matplotlib, and seaborn are used to perform...
ipl winner predictionusing machinelearninggreat
https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2023.1130831/full
Purpose: To establish and validate a prediction model predicting risk of stroke recurrence within one year for patients with acute ischemic stroke (AIS) base...
machine learning modelfrontiersvisualizationdynamicclinical
https://www.technologynetworks.com/neuroscience/news/the-brain-a-prediction-machine-that-is-always-switched-on-364442
Recent research has shown that the brain's ability to predict is not limited to words in a sentence, but also encompasses grammar and abstract meaning.
prediction machinebrainalwaysswitched
https://www.techtimes.com/articles/313603/20251223/how-ai-used-weather-prediction-smarter-forecasting-through-machine-learning.htm
Dec 23, 2025 - AI meteorology and weather model technology transform forecasting, improving hurricane, tornado, and extreme weather predictions with machine learning.
weather predictionaiusedsmarterforecasting
https://www.analyticsvidhya.com/blog/2022/05/ipl-team-win-prediction-project-using-machine-learning/
In today's article, we will discuss the IPL team win prediction project using ML and get familiar with featured engineering. Read Now!
using machineiplteamwinprediction
https://curie.fr/publications/interpretable-machine-learning-model-locoregional-relapse-prediction-oropharyngeal-cancers
Background: There is no evidence to support surgery or radiotherapy as the best treatment for resectable oropharyngeal cancers with a negative HPV status....
machine learning modelrelapsepredictionoropharyngeal
https://www.bde.es/wbe/es/publicaciones/analisis-economico-investigacion/documentos-trabajo/machine-learning-credit-risk-measuring-dilemma-between-prediction-and-supervisory-cost.html
Machine learning in credit risk: measuring the dilemma between prediction and supervisory cost
machine learningcredit riskmeasuringdilemmaprediction