Results 151 to 160 of about 92,621 (309)

What Makes A Business Ecosystem Circular? A Multilevel Review

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Drawing on multilevel and complexity theories, this research identifies new and reframed core principles of circular business ecosystems (CBEs), thereby clarifying what makes a business ecosystem circular. Although CBEs are increasingly recognised as adaptive systems shaped by interdependencies and non‐linear interactions, how circularity ...
Irene Bubbola   +2 more
wiley   +1 more source

Flexible linearity profile amplifier for software defined applications [PDF]

open access: yes, 2002
A highly linear Low Noise Amplifier (LNA) using a flexible feedforward linearisation scheme is described. The wideband LNA is designed for use in the frequency spectrum between 1 and 2GHz.
Watkins, GT, Warr, PA
core  

Rewiring the Circular Economy Through AI‐Informed Pathways: Structural and Distributional Drivers of Environmental Outcomes in the European Union

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study investigates the structural and distributional factors that influence environmental performance in 27 European Union (EU) countries from 2010 to 2021, focusing especially on circular economy (CE) measures and the increasing use of artificial intelligence (AI)‐based analytical tools.
Cosimo Magazzino   +3 more
wiley   +1 more source

The Feedforward Torch

open access: yes, 2012
An important challenge in deploying pervasive computing environments is the di culty users have in understanding their behaviour. It has been suggested that these environ- ments should be made intelligible by informing users about their understanding of the world.
Vermeulen, Jo   +2 more
openaire   +1 more source

Forecasting international bandwidth capacity using linear and ANN methods [PDF]

open access: yes
An artificial neural network (ANN) can improve forecasts through pattern recognition of historical data. This article evaluates the reliability of ANN methods, as opposed to simple extrapolation techniques, to forecast Internet bandwidth index data that ...
Tan, Joachim, Madden, Gary G
core  

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin   +2 more
wiley   +1 more source

Soft sensors based on artificial neural networks for advanced bioprocess monitoring

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study presents the development and validation of artificial neural network (ANN)‐based soft sensors for the online estimation of key bioprocess variables during fed‐batch cultivations of Pseudomonas putida KT2442 producing medium‐chain‐length polyhydroxyalkanoates (PHA), sustainable biopolymer precursors for bioplastics production.
Monika Pešková   +2 more
wiley   +1 more source

Do Firms Disclose Financially Material ESG Risks? Evidence From Japanese Food and Beverage Firms Using a Text Match Pretrained Transformer

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study develops a financial materiality‐oriented measure of ESG disclosure and examines how sustainability disclosures respond to evolving regulatory frameworks. Focusing on listed food and beverage firms in Japan from 2020 to 2024, we apply the Text Match Pretrained Transformer (TMPT) to assess the semantic relevance between disclosures ...
Siyu Shen   +5 more
wiley   +1 more source

The Systematic Trajectory Search Algorithm for Feedforward Neural Network Training

open access: yes, 2014
In this paper, an improved version of the systematic trajectory search algorithm (STSA) is proposed to train the connection weights of the generalized feedforward neural networks.
W. C. Chen   +3 more
core  

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

open access: yesDeep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy