Results 51 to 60 of about 25,619 (311)

Optimising Warehouse Order Picking: Real Case Application in the Shoe Manufacturing Industry

IEEE Access
Order picking is a critical and labour-intensive warehouse management operation that involves removing items from storage locations to fulfil customer orders.
Rodrigo Furlan de Assis, William de Paula Ferreira, Alexandre Frias Faria, Luis Antonio Santa-Eulalia, Mustapha Ouhimmou, Ali Gharbi   +5 more
doaj   +1 more source

Blending Colored and Depth CNN Pipelines in an Ensemble Learning Classification Approach for Warehouse Application Using Synthetic and Real Data

Machines, 2021
Electric companies face flow control and inventory obstacles such as reliability, outlays, and time-consuming tasks. Convolutional Neural Networks (CNNs) combined with computational vision approaches can process image classification in warehouse ...
Paulo Henrique Martinez Piratelo, Rodrigo Negri de Azeredo, Eduardo Massashi Yamao, Jose Francisco Bianchi Filho, Gabriel Maidl, Felipe Silveira Marques Lisboa, Laercio Pereira de Jesus, Renato de Arruda Penteado Neto, Leandro dos Santos Coelho, Gideon Villar Leandro   +9 more
doaj   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
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

Patient Identification and Tumor Identification Management: Quality Program in a Cancer Multicentric Clinical Data Warehouse [PDF]

, 2023
Karine Pallier, Olivier Prot, Simone Naldi, Francisco Silva, Thierry Denis, Olivier Giry, Sophie Léobon, Élise Deluche, N. Tubiana-Mathieu   +8 more
openalex   +1 more source

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

Advanced 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, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Warehouse Modeling in Strategic Planning Model

Business and Finance Journal, 2019
As a critical point in the supply chain, warehouse facility must be managed in good way, started from planning and design becomes important, this research using modeling tool to make and ensure the warehouse to be more effective and efficient ...
Puspandam Katias, Denis Fidita Karya
doaj   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
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, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Mass Collection of Workers’ Data in Warehouse Facilities: Reflections on Privacy and Workforce Well-being

Italian Labour Law e-Journal
Warehouses with complex monitoring and algorithmic management policies are rapidly expanding across the EU. This paper explores the functionalities of a Warehouse Management System (WMS) and its role in managing warehouse workers.
Thomas De Lombaert, Arpan Rijal, Robert Costrasal, Michele Molè   +3 more
doaj   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
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, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Online Algorithms for Warehouse Management.

, 2019
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