Results 131 to 140 of about 36,660 (295)

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

A Two-stage Classification Method for High-dimensional Data and Point Clouds

, 2019
High-dimensional data classification is a fundamental task in machine learning and imaging science. In this paper, we propose a two-stage multiphase semi-supervised classification method for classifying high-dimensional data and unstructured point clouds.
Cai, Xiaohao, Chan, Raymond, Xie, Xiaoyu, Zeng, Tieyong   +3 more
core  

An Indicator‐Based Decision Framework for Circular Bioeconomy Transition in the Steel Industry: Integrating Multiphase Learning and Cooperative Game Modelling

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite growing attention to the circular bioeconomy (CBE), the steel industry currently lacks a standardised, sectoral measurement framework to facilitate a low‐carbon transition. In this study, a decision‐support framework for evaluating CBE performance in the steel industry is proposed.
Ali Zamani Babgohari, Mohammadreza Sadeghi‐Moghadam, Hannan Amoozad Mahdiraji   +2 more
wiley   +1 more source

Advances in Systems Engineering of Carbon Dioxide Electroreduction

Carbon and Hydrogen, EarlyView.
Industrializing CO2 electroreduction hinges on holistic systemic synergy and optimization of all process segments rather than isolated catalytic breakthroughs; Process simulation is a core enabler to build a complete capture–conversion–product industrial chain, positioning CO2RR as a key technology for carbon neutrality.
Weixiang Xiong, Guangxing Yang, Minglong Guo, Qiao Zhang, Zhiting Liu, Hao Yu, Feng Peng   +6 more
wiley   +1 more source

Advancing Upcycling and Regeneration of Spent LiFePO4: Failure Mechanisms and Recovery Strategies

Carbon Energy, EarlyView.
This review studies the failure mechanism to promote the upcycling regeneration of spent lithium iron phosphate (S‐LFP). It first summarizes the failure mechanisms of LFP batteries revealed via advanced characterization technologies and then explores the respective advantages and challenges of hydrometallurgy and direct regeneration methods.
Yi Wang, Xue Liu, Wen Luo, Rui Xu, Ze Wang, Jean‐Jacques Gaumet, Liqiang Mai   +6 more
wiley   +1 more source

Photothermal CO2 Hydrogenation: Reactions, Mechanisms, and Catalyst Design

Carbon Energy, EarlyView.
Reactions, mechanisms, and catalyst design for photothermal CO2 hydrogenation. ABSTRACT Photothermal CO2 hydrogenation has attracted extensive attention because it provides a green and sustainable approach to fuel and chemicals production. The photothermal catalyst plays a critical role in CO2 conversion through a range of reactions.
Shuai Yan, Yuting Wang, Wenhao Zhao, Jinqiang Zhang, Guangyao Chen, Lei Jiang, Yun Wang, Yingquan Chen, Xiong Zhang, Xianhua Wang, Kuo Zeng, Hongqi Sun, Shuxin Ouyang, Yonggang Yao, Haiping Yang, Hanping Chen   +15 more
wiley   +1 more source

Methodological Approach for Particle Transport: Analyzing Influential Factors and Comparing Simulation Software

Chemie Ingenieur Technik, EarlyView.
This study determines the dust filtration behavior of venting tubes in automotive headlights. Numerical simulations using Meshfree and STAR‐CCM+ and suitable experiments were conducted to analyze the airflow field, the particle transport, and the filtration efficiency.
Cornelia Müssig, Alexander Kabat vel Job, Stephan Knorr, Henning Meyer, Daniel Wiest   +4 more
wiley   +1 more source

Application of Ultrasonic Sensors for Determining the Height of Dynamic Two‐Phase Layers in Tray Columns

Chemie Ingenieur Technik, EarlyView.
Ultrasonic sensors are evaluated for their applicability in dynamic gas–liquid systems. By comparing sensor data with two independent optical reference methods, their robustness and reliability are demonstrated under varying flow conditions and tray geometries in column systems.
Niklas Breuer, Marcus Grünewald, Julia Riese   +2 more
wiley   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

A review of the multiphase electric machines

, 2007
The electrical machines with increased number of phases m3 are destined for the equipment of the installations and apparatus that function in autonomic regime and presents a special importance for different industrial branches and electro-mechanical structures, because they have the reliability indexes and increased energetic parameters comparing to ...
Raţă, I., Todos, P.I., Nuca, I.T.
openaire   +1 more source