Results 71 to 80 of about 38,243 (301)
Online Algorithms for Warehouse Management.
As the prevalence of E-commerce continues to grow, the efficient operation of warehouses and fulfillment centers is becoming increasingly important. To this end, many such warehouses are adding automation in order to help streamline operations, drive down costs, and increase overall efficiency.
Philip Dasler, David M. Mount
openaire +3 more sources
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
Engenharia da informação aplicada no desenvolvimento de Data Warehouse [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós -Graduação em Computação.O presente trabalho propõe a utilização da Engenharia da Informação para a análise, incorporação de técnicas e procedimentos ...
Souza, Ivanise Volpato de
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Desain Data Warehouse pada Sistem Informasi Sumber Daya Manusia Sub-Sistem Rekrutmen
Employees as a resource management are essential to improve the effectiveness of company’s performance and process efficiency. This paper discusses the implementation of data warehouse and its role in assisting the decision making related to ...
Eka Miranda
doaj +1 more source
Sustainable warehouse management [PDF]
Sustainable warehouse is about integrating, balancing and managing the economic, environmental and social inputs and outputs of the warehouse operations. Sustainability is a core value to many businesses but they find it hard to implement in their current business setting especially when they use third party logistics management system like warehousing
Kah-Shien Tan +2 more
openaire +1 more source
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
Projeto de data warehouse dimensional [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Ciência da Computação.O objetivo do trabalho é propor um projeto de modelagem de um Data Warehouse Dimensional para uma empresa do ramo ...
Mazzola, Irany Salgado
core
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour +5 more
wiley +1 more source
MEASURING THE PERFORMANCE OF EDUCATIONAL ENTITIES WITH A DATA WAREHOUSE [PDF]
This paper attempts to outline the benefits of using a data warehouse for supportingthe management decisions in a pre-academic learning institution.
Mihai Paunica +3 more
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