Results 61 to 70 of about 403,099 (290)
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
International Journal for Research in Applied Science and Engineering Technology, 2022 Abstract: This paper examines Warehouse Automations using RFID practices and their effects on operations. This study analyses the relationship between adoption of WMS to its impacts on business performance and competitive advantage of a regional distribution centre.
Abu Huzaifa Shaikh, Hatim Poonawala
openaire +1 more source
Information Dense and Industry Scalable Accelerated Formation
Advanced Intelligent Discovery, EarlyView.Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker +3 more
wiley +1 more source
Transport, 2019 The paper suggests a method for determining the optimal location of service points (warehouses) based on the method for optimal planning of radiation therapy of malignant tumors.
Viktor Danchuk +2 more
doaj +1 more source
Benefits of InterSite Pre-Processing and Clustering Methods in E-Commerce Domain [PDF]
, 2005 This paper presents our preprocessing and clustering analysis on the clickstream dataset proposed for the ECMLPKDD 2005 Discovery Challenge. The main contributions of this article are double.
Chelcea, Sergiu Theodor +4 more
core +4 more sources
Advanced Intelligent Discovery, EarlyView.This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod +10 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob +2 more
wiley +1 more source
Frontiers in Applied Mathematics and StatisticsIntroductionA two-warehouse deterministic inventory system for purchases of short-expiry items with low purchasing costs is modelled. The total cost of the replenishment cycle is arrived at by implementing multiple just-in-time (JIT) purchases for the ...
R. Thilagavathi +5 more
doaj +1 more source
Development of an ANFIS Model for the Optimization of a Queuing System in Warehouses
Information, 2018 Queuing systems (QS) represent everyday life in all business and economic systems. On the one hand, and there is a tendency for their time and cost optimization, but on the other hand, they have not been sufficiently explored.
Mirko Stojčić +3 more
doaj +1 more source
Warehouse Layout Method Based on Ant Colony and Backtracking Algorithm
, 2015 Warehouse is one of the important aspects of a company. Therefore, it is necessary to improve Warehouse Management System (WMS) to have a simple function that can determine the layout of the storage goods.
Haryanto, Ardy Wibowo +2 more
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