Results 141 to 150 of about 510,394 (371)

Warehouse logistics in Ukraine during the war: Problems and innovative solutions

Innovation and Sustainability
The article analyses the changes that took place in the field of warehouse logistics in Ukraine during the war. In particular, the scale of the destruction of warehouses in different regions, changes in production volumes and turnover, the impact of fuel
V. Bokovets, O. Bezsmertna, I. Shvarts
doaj   +1 more source

An Empirical Analysis of Humanitarian Warehouse Locations [PDF]

, 2016
Sander de Leeuw, Wing Yan Mok
openalex   +1 more source

Design of Integrated Warehouse Control Tower (WCT) Digitalization by the Internet of Things Architectures

, 2023
M. Tirtana Siregar
openalex   +2 more sources

Bayesian Optimization Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

Advanced Intelligent Discovery, EarlyView.
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir, Miguel Hernández‐del‐Valle, Christina Schenk, De‐Yi Wang, Maciej Haranczyk   +4 more
wiley   +1 more source

Salvaging Information Engineering Techniques in the Data Warehouse Environment [PDF]

, 2001
Anthony L. Politano
openalex   +1 more source

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

Advanced 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, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

Exogenous coalition formation in the e-marketplace based on geographical proximity [PDF]

This paper considers a model for exogenous coalition formation in e-marketplaces. Using the informational advantage e-retailer creates coalitions of customers based on geographical proximity.
McBurney, Peter, Michalak, Tomasz, Tyrowicz, Joanna, Wooldridge, Michael   +3 more
core   +1 more source

Proposing a New Promising Constraint to the Single Stage Capacitated Warehouse Location Problem (SSCWLP) [PDF]

, 2023
GRRK Sharma, Ajay jha, Priyank Dubey, KK Lai   +3 more
openalex   +1 more source

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

Advanced 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, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Warehouse Receipt Financing for Farmers: Challenges and Way Ahead

, 2021
Shubhra Mishra Deshpande, Deepa Pillai
openalex   +1 more source