Results 231 to 240 of about 254,846 (297)

Modelling of Behavior for Inhibition Corrosion of Bronze Using Artificial Neural Network (ANN). [PDF]

Entropy (Basel), 2018
Millán-Ocampo DE, Parrales-Bahena A, González-Rodríguez JG, Silva-Martínez S, Porcayo-Calderón J, Hernández-Pérez JA.   +5 more
europepmc   +1 more source

Optimizing Structural Parameters of a Water Distribution Device in Cylindrical High‐Flowrate Mixed Bed Using Multiobjective Genetic Algorithm

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT High‐flowrate mixed bed is the foremost desalination equipment in the condensate polishing system. The water distribution device determining the water distribution uniformity directly affects its operation stability, output water quality, and service life of the resins.
Jing Zhu, Yuhan Liu, Kai Tuo, Xiaohong Zhang, Zhe Xia, Zhao Wang   +5 more
wiley   +1 more source

Realtime forecasting of COVID 19 cases in Karnataka state using Artificial neural network (ANN)

, 2020
Shetty RP, P SP.
europepmc   +1 more source

Radiation‐Absorptive Heat Transport in Buoyancy‐Driven MHD Nanofluids Flow With Cross‐Diffusion and Chemical Interaction Effects Over a Vertical Moving Plate

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This article investigates the Soret–Dufour cross‐diffusion effects on radiation‐absorptive unsteady free‐convection of magnetized nanofluids (TiO2–water$$ {\mathrm{TiO}}_2\hbox{--} \mathrm{water} $$ and Cu–water$$ \mathrm{Cu}\hbox{--} \mathrm{water} $$) flow over a vertical moving permeable plate.
B. Prabhakar Reddy, Jumanne Mng'ang'a, P. V. Kanaka Rao   +2 more
wiley   +1 more source

Advancing Machine Learning Optimization of Chiral Photonic Metasurface: Comparative Study of Neural Network and Genetic Algorithm Approaches

Advanced Physics Research, EarlyView.
Two methods for the optimization of chiral reflection by a metamaterial made of either GaP/Air or PMMA/Air interfaces are compared, showing approaches towards fast design exploration and high‐performance results: a neural‐network pipeline and a genetic algorithm. The structures considered are characterized by a periodic, chiral texturation with a shape
Davide Filippozzi, Alexandre Mayer, Nicolas Roy, Wei Fang, Arash Rahimi‐Iman   +4 more
wiley   +1 more source

Chlorella vulgaris biorefineries: sustainable biofuels and high‐value carbon capture

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract Global reliance on fossil fuels has created urgent economic and environmental challenges, yet large‐scale use of algal biomass remains limited by production costs. Industrial scaling is constrained by inefficient harvesting and the technical challenges of processing recalcitrant cell walls.
Sandyelle Ferreira Alcântara Araújo, Antonio Átila Menezes Ferreira, Lucia Andrea Sindeaux de Oliveira, Dayana Nascimento Dari, Devany Quintela Soares, Eliana Elisa Francelino Mavie, Francisco Leonardo Alves de Moraes Sousa, Jessica Lopes da Silva, João Vitor Gomes de Araújo Silva, Thiago Queiroz da Silva, Ana Karine Portela Vasconcelos, Kelma Maria dos Santos Pires Cavalcante, John Hebert da Silva Felix, José Cleiton Sousa dos Santos   +13 more
wiley   +1 more source

Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges

Biotechnology and Bioengineering, EarlyView.
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, Anna‐Lena Drommershausen, Alexander Grünberger, Dirk Holtmann   +3 more
wiley   +1 more source

On the Prediction of pDNA Productivity Across Diverse Bioprocesses Using Ensemble Hybrid Models

Biotechnology and Bioengineering, EarlyView.
ABSTRACT The global demand for plasmid DNA (pDNA) is rapidly increasing due to its key role in the manufacture of mRNA vaccines and advanced therapy medicinal products (ATMPs). However, the reliance on suboptimal batch and/or fed‐batch processes, as well as the diversity and increasing complexity of plasmid constructs pose significant challenges during
Nikolaos Stratis, Massimo Morbidelli, Alexandros Kiparissides   +2 more
wiley   +1 more source

Neuronal differentiation and tissue engineering strategies for central neurous system injury repair

BMEMat, EarlyView.
This review outlines tissue engineering advances for central nervous system (CNS) injury treatment, focusing on three core components: seed cells, inductive factors, and scaffold materials, with evaluation of their respective strengths and limitations. Tissue engineering for CNS injury repair.
Zhuqing Xia, Jinghui Zhang, Na Ren, Shuping Wang, Congcong Zhang, Nik Ahmad Nizam Nik Malek, Wan Hairul Anuar Kamaruddin, Chao Liu, Chunhui Sun, Jingang Wang   +9 more
wiley   +1 more source

Advancing design strategies in smart stimulus‐responsive liposomes for drug release and nanomedicine

BMEMat, EarlyView.
Schematic illustration of stimulus‐responsive liposomes designed for controlled drug release and nanomedicine. The innermost circle represents different liposomal structures, including unilamellar, multilamellar, and multivesicular liposomes. The middle layer illustrates the responsive phospholipid components.
Yuchen Guo, Nan Li, Daiwei Zhang, Jingya Gu, Zhihuan Liao, Zihao Teng, Xiangfu Du, Peter S. Timashev, Shipeng Chen, Shuaidong Huo   +9 more
wiley   +1 more source