Results 61 to 70 of about 38,696 (266)
IEEE AccessIn 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
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 +3 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
Application of the VIKOR method for solving problems in logistics
Logistics, Supply Chain, Sustainability and Global ChallengesWhen 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 +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-BiałejThe 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
Advanced Intelligent Discovery, EarlyView.Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen +5 more
wiley +1 more source
Jurnal Teknologi dan Sistem Komputer, 2015 The information system that can provide complete, accurate information in an integrated way with the ability to reach all people in the system is very important. The criteria are not fulfilled by the warehouse management system on PT.
Ervin Adhi Cahyanugraha +2 more
doaj +1 more source
Biomedical Data Warehouses [PDF]
, 2008 In this context, the warehouse measures, though not necessarily numerical, remain the indicators for analysis, and analysis is still performed following different perspectives represented by dimensions. Large data volumes and their dating are other arguments in favor of this approach (Darmont et al., 2003).
Darmont, Jérôme, Olivier, Emerson
openaire +3 more sources
The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers
Advanced Intelligent Discovery, EarlyView.We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen +6 more
wiley +1 more source
Decision-making Processes in Introducing RFID Technology in Manufacturing Company
Naše More (Dubrovnik), 2018 The article deals with the application of modern automatic identification systems in manufacturing companies. Automatic identification is nowadays an integral part of any logistics chain, since it enables time and financial savings in managing material ...
Jan Lizbetin
doaj +1 more source