The University of Southampton
University of Southampton Institutional Repository

Items where Division is "Current Faculties > Faculty of Social Sciences > Southampton Business School > Decision Analytics and Risk
Southampton Business School > Decision Analytics and Risk" and Year is 2025

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: No Grouping | Authors/Creators | Item Type
Number of items: 13.

Article

Solving Markov decision processes via state space decomposition and time aggregation - Rodrigo e Alvim Alexandre, Marcelo Fragoso, Virgílio José Martins Ferreira Filho and Edilson F. Arruda
Type: Article | 2025

Type: Article | 2025

Deep multi-task learning for stem water potential prediction: actionable guidelines - Boje Deforce, Bart Baesens, Jan Diels, Pieter Janssens, Luis Bonet pérez de león and Estefanía Serral asensio
Type: Article | 2025 | Item availability restricted.

Type: Article | 2025 | Item not available on this server.

Type: Article | 2025

The contribution of GenAI to business analytics - Angel Salazar and Martin Kunc
Type: Article | 2025 | Item availability restricted.

Type: Article | 2025 | Item availability restricted.

Type: Article | 2025

Book

Type: Book | 2025 | China Financial & Economic Publishing House | Item availability restricted.

Conference or Workshop Item

Type: Conference or Workshop Item | 2025

The scope for integrating uncrewed aerial vehicles into healthcare logistics systems – a case study of pathology specimen transport - Matt Grote, Andy Oakey, Aliaksei Pilko, Jakub Krol, Alexander Blakesley, Tom Cherrett, James Scanlan, Bani Anvari and Toni Martinez-Sykora
Type: Conference or Workshop Item | 2025 | Item availability restricted.

Monograph

Type: Monograph | 2025 | University of Southampton

Special issue

Type: Special issue | 2025 | Item not available on this server.

This list was generated on Tue Mar 11 02:10:10 2025 GMT.
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×