Results 161 to 170 of about 557,874 (331)

Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models

open access: yesApplied Stochastic Models in Business and Industry, EarlyView.
ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco   +4 more
wiley   +1 more source

The research on the strong Markov property

open access: yesAnnales Universitatis Paedagogicae Cracoviensis: Studia Mathematica, 2011
Let $X(t, omega) = {x_t(omega): t geq 0} be a Markov process defined on a probability space $(Omega,mathcal{F}, P)$ and valued in a measurable space (E; mathcal{E} ).
Huang Yonghui, Tang Rong
doaj  

Noncommutative Markov Processes [PDF]

open access: yesTransactions of the American Mathematical Society, 1966
openaire   +2 more sources

On a Class of Markov Processes [PDF]

open access: yesTransactions of the American Mathematical Society, 1951
openaire   +2 more sources

Latent Diffusion Models for Virtual Battery Material Screening and Characterization

open access: yesBatteries &Supercaps, EarlyView.
A newly developed virtual tool is designed to enhance the extraction of meaningful information from characterization technique data and effectively guides the screening of target battery materials based on functional requirements. Efficient characterization of battery materials is fundamental to understanding the underlying electrochemical mechanisms ...
Deepalaxmi Rajagopal   +3 more
wiley   +1 more source

Mining Chemical Space with Generative Models for Battery Materials

open access: yesBatteries &Supercaps, EarlyView.
Revolutionizing Li‐ion battery material discovery with MatterGen, a foundational generative AI model for crystal structure inverse design. Explored stable, unique, and novel compositions and their analysis with respect to the state‐of‐the‐art databases, followed by DFT validation, provides a new direction for accelerating materials discovery ...
Chiku Parida   +3 more
wiley   +1 more source

Generative Deep Learning for Advanced Battery Materials

open access: yesBatteries &Supercaps, EarlyView.
This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal   +3 more
wiley   +1 more source

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