Results 71 to 80 of about 34,160 (311)

Evaluating the reading performance of semi-passive RFID tags to enhance locating of warehouse resources: An experiment design

open access: yes, 2011
Copyright @ 2011 8th European, Mediterranean and Middle Eastern Conference on Information Systems (EMCIS 2011)In the supply chain, a warehouse is a crucial component for linking all chain parties.
Aktas, E, Ali, M, Hassan, M
core  

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi   +5 more
wiley   +1 more source

Building a Data Warehouse step by step [PDF]

open access: yes
Data warehouses have been developed to answer the increasing demands of quality information required by the top managers and economic analysts of organizations. Their importance in now a day business area is unanimous recognized, being the foundation for
Gheorghe MATEI, Manole VELICANU
core  

The Role, Design and Operation of Distribution Centres in Agile Supply Chains [PDF]

open access: yes, 2008
The aim of this research is to explore the role of distribution centres (DCs) in agile supply chains, together with how they should be designed, operated and their performances measured within this context.
Baker, Peter
core  

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

open access: yesAdvanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia   +3 more
wiley   +1 more source

Prevalensi Dan Faktor-Faktor Penyebab Musculoskeletal Disorders Pada Operator Gudang Industri Ban PT X Tangerang Indonesia

open access: yesJurnal Ergonomi Indonesia, 2019
Musculoskeletal disorders which are an injury or pain in the human musculoskeletal system can reduce productivity especially the warehouse workers at a tire industry.
Chindy Elsanna Revadi   +2 more
doaj   +1 more source

Designing a Data Warehouse for Cyber Crimes

open access: yesJournal of Digital Forensics, Security and Law, 2006
One of the greatest challenges facing modern society is the rising tide of cyber crimes. These crimes, since they rarely fit the model of conventional crimes, are difficult to investigate, hard to analyze, and difficult to prosecute. Collecting data in a unified framework is a mandatory step that will assist the investigator in sorting through the ...
Il-Yeol Song   +5 more
openaire   +3 more sources

WAREHOUSE PERFORMANCE MEASUREMENT - A CASE STUDY [PDF]

open access: yes
Companies could gain cost advantage using their logistics area of the business. Warehouse management is a possible source of cost improvements from logistics that companies could use during this economic crisis.
Crisan Emil   +2 more
core  

Uma arquitetura para distribuição de componentes tecnológicos de sistemas de informações baseados em data warehouse [PDF]

open access: yes, 2001
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia de ProduçãoA demanda por informações estratégicas para apoio à decisão tem sido um dos grandes motivos para investimentos em ...
Sell, Denilson
core  

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

open access: yesAdvanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian   +12 more
wiley   +1 more source

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