Results 211 to 220 of about 37,859 (302)
Aggregate, Volume 7, Issue 6, June 2026.This review explores the application of machine learning‐based image analysis technology in four major organic crystallization tasks, providing a reference for subsequent research in the corresponding fields. ABSTRACT Manual crystallization experiments have always been challenging, requiring extensive process development expertise and often resulting ...
Tianqi Ma +8 more
wiley +1 more source
High resolution temperature forecasting using functional time series decomposition and advanced predictive models. [PDF]
Sci RepAlshanbari HM +4 more
europepmc +1 more source
A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction
Advanced Intelligent Discovery, Volume 2, Issue 3, June 2026.This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai +8 more
wiley +1 more source
Slow miniscrew-assisted palatal expansion: a clinical approach for long-term skeletal stability and enhanced nasal airway function. [PDF]
Sleep BreathCimen RK +5 more
europepmc +1 more source
Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges
Biotechnology and Bioengineering, Volume 123, Issue 6, Page 1417-1431, June 2026.ABSTRACT Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to be reused efficiently, accelerating process development, improving prediction accuracy, and ...
Daniel Barón Díaz +3 more
wiley +1 more source
Dynamic properties of an SARS-CoV-2 epidemic model via stochastic PINNs. [PDF]
Infect Dis ModelXie L, Yang J, Li Z.
europepmc +1 more source
Engineering Reports, Volume 8, Issue 6, June 2026.A Richardson‐extrapolation–based mesh zoning framework is developed to optimize CFD simulation accuracy and computational efficiency in dam bottom outlet flows. Using six mesh scenarios and multi‐parameter convergence analysis (pressure, velocity, TKE), the method identifies an optimal fine‐resolution zone around the gate and progressively coarser ...
Mohammad Masoud Vaseti +2 more
wiley +1 more source
Energy Science &Engineering, Volume 14, Issue 6, Page 2839-2873, June 2026.An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan +5 more
wiley +1 more source
Enhancing Expressway Traffic State Perception: A Novel BAS-Optimized PSO-BP Fusion Model with Tensor Completion. [PDF]
Sensors (Basel)Yin J, Guo X, Bai W, Ma L, Tang L.
europepmc +1 more source
Energy Science &Engineering, Volume 14, Issue 6, Page 2996-3012, June 2026.ABSTRACT Improving photovoltaics (PV) system performance through simulation requires accurate PV models. The nonlinear relationship between current and voltage, coupled with incomplete manufacturer data, presents a significant challenge in parameter estimation.
Chappani Sankaran Sundar Ganesh +3 more
wiley +1 more source