Results 111 to 120 of about 510,394 (371)

Metodologías para la construcción de soluciones de inteligencia de negocios

open access: yesRevista Científica de Sistemas e Informática
En las organizaciones, la inteligencia de negocios es una herramienta tecnológica por excelencia para el análisis y procesamiento de datos históricos internos explotados a favor de la organización, generando información oportuna y confiable.
Cristian Perales-Domínguez   +3 more
doaj   +1 more source

Heuristic Algorithm for the Co-Operative Picking with AGVs in Warehouse

open access: yesSICE Journal of Control, Measurement, and System Integration, 2020
The performance of order picking in a warehouse is crucial in modern logistics. Automated guided vehicles (AGVs) have been developed recently and are in operation in many warehouses.
Takayoshi Yokota
doaj   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Data Warehouse Refreshment

open access: yes, 2007
In the early stages of a data warehouse project, the designers/administrators have to come up with a decision concerning the design and deployment of the back-stage architecture. The possible options are (a) the usage of a commercial ETL tool, or (b) the development of an in-house ETL prototype. Both cases have advantages and disadvantages. However, in
Simitsis, Alkis   +3 more
openaire   +3 more sources

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

open access: yesAdvanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source

Adapting warehouse operations and design to omni-channel logistics

open access: yesInternational Journal of Physical Distribution & Logistics Management, 2018
Purpose The purpose of this paper is to increase the understanding of how warehouse operations and design are affected by the move toward integrated omni-channels. Design/methodology/approach A structured literature review is conducted to identify and
J. Kembro, A. Norrman, Ebba Eriksson
semanticscholar   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing   +4 more
wiley   +1 more source

Resource Warehouses; a Distributed Information Warehouse Infrastructure [PDF]

open access: yes, 2010
This paper presents work related to the design of distributed systems, which is useful for emerging Internet applications. We propose algorithms for searching and managing distributed information about resources and services using locally available warehouses. The concept of warehouses has been introduced in the Web Operating System (WOS) (Kropf 1999).
Khoury, Simon   +2 more
openaire  

Flexible Memory: Progress, Challenges, and Opportunities

open access: yesAdvanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan   +5 more
wiley   +1 more source

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