Results 101 to 110 of about 23,631,400 (298)

Order batching in multi-server pick-and-sort warehouses. [PDF]

In many warehouses, customer orders are batched to profit from a reduction in the order picking effort. This reduction has to be offset against an increase in sorting effort.
Van Nieuwenhuyse, Inneke, de Koster, R, Colpaert, Jan   +2 more
core  

Node Partitioned Data Warehouses

, 2008
Data Warehouses (DWs) with large quantities of data present major performance and scalability challenges, and parallelism can be used for major performance improvement in such context.
Pedro Furtado
core   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Maturity in enterprise data warehouses for research operations: Analysis of a pilot study. [PDF]

J Clin Transl Sci, 2023
Knosp BM, Dorr DA, Campion TR.
europepmc   +1 more source

Modeling Secure XML Data Warehouses

, 2020
: Dataware houses are most ordinarily employed in strategic decision making processes. These systems integrate heterogeneous causes which are not only restricted to their interior enterprise facts & figures but also encompass facts & figures from
Snehal Subhash Patil, Punam Sharad Ratnaparkhi, Vijay Ramnath Sonawane   +2 more
core  

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

The Challenges of Implementing Comprehensive Clinical Data Warehouses in Hospitals. [PDF]

Int J Environ Res Public Health, 2022
Bocquet F, Campone M, Cuggia M.
europepmc   +1 more source

Conceptual design of XML document warehouses

, 2004
EXtensible Markup Language (XML) has emerged as the dominant standard in describing and exchanging data among heterogeneous data sources. XML with its self-describing hierarchical structure and its associated XML Schema (XSD) provides the flexibility and
Rajagopalapillai, R, Wenny Rahayu, Rahayu, W, Nassis, V, Dillon, TS, Vicky Nassis, Tharam S. Dillon, R. Rajugan   +7 more
core   +1 more source

Taguchi–Bayesian Sampling: A Roadmap for Polymer Database Construction Toward Small Representative Machine Learning

Advanced Intelligent Discovery, EarlyView.
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley   +1 more source

Node Partitioned Data Warehouses

, 2006
Data Warehouses (DWs) with large quantities of data present major performance and scalability challenges, and parallelism can be used for major performance improvement in such context.
Pedro Furtado
core   +1 more source