Results 161 to 170 of about 557,874 (331)
Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models
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
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
Time-homogeneous Markov process for HIV/AIDS progression under a combination treatment therapy: cohort study, South Africa. [PDF]
Shoko C, Chikobvu D.
europepmc +1 more source
Noncommutative Markov Processes [PDF]
openaire +2 more sources
On a Class of Markov Processes [PDF]
openaire +2 more sources
Latent Diffusion Models for Virtual Battery Material Screening and Characterization
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
3D Markov Process for Traffic Flow Prediction in Real-Time. [PDF]
Ko E, Ahn J, Kim EY.
europepmc +1 more source
Correction to: ``Application of the theory of Markov processes to comminution. I. The case of discrete time parameter'' [PDF]
Motoo Hori, Minoru Uchida
openalex +1 more source
Mining Chemical Space with Generative Models for Battery Materials
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
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

