Results 231 to 240 of about 519,216 (370)

INCREMENTAL DATA QUALITY IN THE DATA WAREHOUSE

, 2004
Karsten Boye Rasmussen
openalex   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Rendering algorithm for 3D model of goods in power warehouse based on linear interpolation and 2D texture mapping. [PDF]

Sci Rep
Luo G, Chen X, Liu Q, Liu A, Zhang X, Tian L, Gao Y.   +6 more
europepmc   +1 more source

The design of the automated control system for warehouse equipment under radio-electronic manufacturing [PDF]

, 2017
Д В Капулин, I V Chemidov, М.А. Казанцев   +2 more
openalex   +1 more source

Taguchi–Bayesian Sampling: A Roadmap for Polymer Database Construction Toward Small Representative Machine Learning

Advanced Intelligent Discovery, EarlyView.
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley   +1 more source

Algorithmic solutions for warehouse site selection using complex pythagorean fuzzy soft sets in supply chain management. [PDF]

Sci Rep
Hassaballa AA, Asghar A, Niaz T, Jaghdam IH, Safi MS.   +4 more
europepmc   +1 more source

Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks

Advanced Intelligent Discovery, EarlyView.
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç, Filip Sabo, Aida Todri‐Sanial   +2 more
wiley   +1 more source

Outdoor Warehouse Management: UAS-Driven Precision Tracking of Stacked Steel Bars. [PDF]

SN Comput Sci
Belbachir A, Ortiz AM, Hauge ET, Belbachir AN, Bonanno G, Ciccia E, Felline G.   +6 more
europepmc   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

Simulation and Implementation of the Modeling of Forklift with Tricycle in Warehouse Systems for ROS. [PDF]

Sensors (Basel)
Tu KY, Hung CP, Lin HY, Lin KY.
europepmc   +1 more source