Results 81 to 90 of about 398,815 (273)

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, Dragan Pamučar, Eldina Mahmutagić, Željko Stević   +3 more
doaj   +1 more source

Elaboration d'entrepôts de données complexes [PDF]

, 2000
National audienceIn this paper, we study the data warehouse modelling used in decision support systems. We provide an object-oriented data warehouse model allowing data warehouse description as a central repository of relevant, complex and temporal data.
Teste, Olivier
core   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

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, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

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, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source

CLE: An Integrated Framework of CNN, LSTM, and Enhanced A3C for Addressing Multi-Agent Pathfinding Challenges in Warehousing Systems

IEEE Access
In the realms of production logistics and intelligent warehousing systems, Multi-Agent Path Finding (MAPF) is paramount, particularly in crafting optimal robot navigation paths while mitigating spatiotemporal conflicts. This paper delves into MAPF within
Tao Wang
doaj   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Web-enabled Data Warehouse and Data Webhouse [PDF]

In this paper, our objectives are to understanding what data warehouse means examine the reasons for doing so, appreciate the implications of the convergence of Web technologies and those of the data warehouse and examine the steps for building a Web ...
Anca MEHEDINTU, Cerasela PIRVU, Ion BULIGIU   +2 more
core  

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

Application of the VIKOR method for solving problems in logistics

Logistics, Supply Chain, Sustainability and Global Challenges
When companies make strategic decisions, responsible persons must take into account as many influential parameters as possible so that the solution to the given problem is the most optimal, that is, they make the most appropriate decision. Multi-criteria
Mijalkovski Stojance, Stefanov Vasko, Mirakovski Dejan   +2 more
doaj   +1 more source

Safe operation of racking equipment based on the Quality Rack Service during the COVID-19 pandemic

Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej
The need for storage racking equipment is prompted directly by the search for operational and economic efficiency in companies with a logistics business orientation.
Wieslaw Staniuk, Michal Staniuk
doaj   +1 more source