Results 191 to 200 of about 145,155 (289)

ANN‐Enabled Analysis of Nanoparticle Aggregation and Hall Effects on Ag‐H2O Nanofluid Flow Over a Spinning Disk With Convective Heating and Thermal Radiation

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The exceptional characteristics of nanofluids have turned out to be a significant development in revolutionizing heat transfer mechanisms in several electronic cooling devices and industrial manufacturing processes. The present study deals with the investigation of the second law of thermodynamics applied to the steady MHD fluid flow above a ...
Dixita Sonowal, Bidyasagar Kumbhakar
wiley   +1 more source

Deep learning neural networks-based traffic predictors for V2X communication networks. [PDF]

Front Artif Intell
Magdy Saady M, Ghazi Zaini H, Essai Ali MH, El Rahman SA, Omer OA, Abdellah AR, Elnazer S.   +6 more
europepmc   +1 more source

A Novel Deep Temporal Feature Enhanced Just‐in‐Time Learning Framework for Predicting Rare Earth Component Content

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Real‐time online detection of rare earth element component contents is a crucial link in ensuring the stable production of the rare earth extraction and separation industry and improving the quality of rare earth products. The traditional methods for predicting the content of rare earth element components based on just‐in‐time learning fail to
Zhaohui Huang, Liangfang Liao, Chunfa Liao, Hui Zhang, Tao Qi, Rongxiu Lu, Wenhao Dai   +6 more
wiley   +1 more source

Accelerating Discovery of Leukemia Inhibitors Using AI-Driven Quantitative Structure-Activity Relationship: Algorithm Development and Validation. [PDF]

JMIR AI
Kakraba S, Agyemang EF, Shmookler Reis RJ.   +2 more
europepmc   +1 more source

Modeling and parameter estimation for fractional large‐scale interconnected Hammerstein systems

Asian Journal of Control, EarlyView.
Abstract This paper addresses the challenge of modeling and identifying large‐scale interconnected systems exhibiting memory effects, hereditary properties, and non‐local interactions. We propose a fractional‐order extension of the Hammerstein architecture that incorporates Grünwald–Letnikov operators to capture complex dynamics through multiple ...
Mourad Elloumi, Omar Naifar, Imed Bouzida   +2 more
wiley   +1 more source

Log-ratio type estimation for the finite population mean under simple random sampling without replacement with theory, simulation and application. [PDF]

Sci Rep
Shakoor F, Atif M, Ali H, Alshammari AO, Himmat B, Kefi K.   +5 more
europepmc   +1 more source

Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models

Applied Stochastic Models in Business and Industry, EarlyView.
ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco, Mirco Musolesi, Jason O'Sullivan, Rosie Prior, Ioanna Manolopoulou   +4 more
wiley   +1 more source

Research on Seafloor 3D Reconstruction Method Based on Sparse Measurement Points. [PDF]

Sensors (Basel)
Xiao E, Qin L, Chi Z, Gu H, Hua Y, Yang H, Li R.   +6 more
europepmc   +1 more source

Mechanism‐informed machine learning for individualized tacrolimus dose adjustment in the early post‐kidney transplant period

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aim Tacrolimus dosing in the early post‐kidney transplant period is challenging due to a narrow therapeutic index and substantial interindividual pharmacokinetic (PK) variability. This study aimed to develop and validate mechanism‐informed machine learning (ML) models to support individualized tacrolimus dosing during this critical period ...
Hui Yu, Zihan Qin, Logan S. Smith, Jeong M. Park, Hao‐Jie Zhu   +4 more
wiley   +1 more source

Data-driven dynamic modeling for inverter-based resources using neural networks. [PDF]

Nat Commun
Yang K, Wang X, Chen X, Wang R, Geng G, Jiang Q.   +5 more
europepmc   +1 more source