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Probabilistic machine learning for battery health diagnostics and prognostics—review and perspectives
Nature
This paper reviews the current state-of-the-art probabilistic machine learning models for health diagnostics and prognostics.
2 months ago
An application of Bayesian inference to examine student retention and attrition in the STEM classroom
Frontiers
IntroductionAs artificial intelligence (AI) technology becomes more widespread in the classroom environment, educators have relied on data-driven machine...
1 month ago
Top Generative AI Tools 2024
Simplilearn.com
Unleash creativity with top generative AI tools. Discover innovative tools, boost projects, and revolutionize your creative process with...
1 month ago
Time-dependent probabilistic tsunami risk assessment: application to Tofino, British Columbia, Canada, subjected to Cascadia subduction earthquakes
Nature
A new time-dependent probabilistic tsunami risk model is developed to facilitate the long-term risk management strategies for coastal communities.
3 months ago
Building a Single Customer View Using Open-Source Tools and Databricks
Towards Data Science
This article offers an approach to building a data quality and record linkage pipeline for single customer views, taking into account these challenges.
9 months ago
A single particle of data can do wonders
Dataconomy
Diffusion models are the power behind the seamless data, visual, text and audio generation of machine learning and AI algorithms.
11 months ago
A review of rigid point cloud registration based on deep learning
Frontiers
With the development of 3D scanning devices, point cloud registration is gradually being applied in various fields. Traditional point cloud registration...
1 month ago
Machine learning augmentation reduces prediction error in collective forecasting: development and validation across prediction markets with application to COVID events
The Lancet
The recent COVID-19 pandemic highlighted the challenges for traditional forecasting. Prediction markets are a promising way to generate...
11 months ago
Prediction and optimization method for welding quality of components in ship construction
Nature
A data and model driven welding quality prediction method is proposed. Firstly, the influence factors of welding quality are analyzed.
3 months ago
Probabilistic modelling is superior to deterministic approaches in the human health risk assessment: an example from a tribal stretch in central India
Nature
This human health assessment based on geochemical investigations finds nitrate (NO 3 − ) and fluoride (F − ) pollution as well in village's groundwater.
9 months ago