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Fernando Vega-Ramon

the university of manchester

H指数:3

被引数:135

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Enabling Bioprocess Upscaling Prediction Through Hybrid Modelling and Transfer Learning Under Small-Data Scenarios

通过混合建模和迁移学习实现小数据场景下的生物过程放大预测

Biotechnology and Bioengineering

IF3.6

2026-09-220

OAAI

Advancing Catalytic Reaction Rate Model Development with Physics-Guided Hybrid Modeling

利用物理指导的混合建模推进催化反应速率模型的发展

Industrial & Engineering Chemistry Research

IF0

2026-07-030

PRE

Interpretable-AI-Based Model Structural Transfer Learning to Accelerate Bioprocess Model Construction

基于可解释人工智能的模型结构迁移学习以加速生物过程模型构建

Biotechnology and Bioengineering

IF3.6

2025-07-180

PREAI

Extracting microkinetic insights from macroscopic measurements: A power law modelling framework for catalytic reaction mechanism analysis

从宏观测量中提取微观动力学见解：一种用于催化反应机理分析的幂律建模框架

Chemical Engineering Science

IF4.3

2025-07-130

OA

Cracking the physical insight of power law models: Bridging the gap between macroscopic kinetics and surface coverages

IF4

2024-09-230

OAAI

A transfer learning approach for predictive modeling of bioprocesses using small data

使用小数据对生物过程进行预测建模的转移学习方法

BIOTECHNOLOGY AND BIOENGINEERING

IF3.6

2021-11-0829

OA

Kinetic and hybrid modeling for yeast astaxanthin production under uncertainty

BIOTECHNOLOGY AND BIOENGINEERING

IF3.6

2021-10-1233

OA

Developing a Hybrid Modeling Framework for Enhanced Prediction in Chemical Reaction Kinetics

开发用于增强化学动力学预测的混合建模框架

Industrial & Engineering Chemistry Research

IF3.9

0

PRE