Results 161 to 170 of about 1,135 (244)

Energy Flexibilization and Demand Response for a Novel Decentralized Power‐to‐Methanol Process

Chemie Ingenieur Technik, EarlyView.
This study presents the results of an optimization framework for the scheduling of a Power‐to‐methanol process coupled with an electrolyser, renewable energy sources and a battery. The optimal dynamic operating schedule is computed with different configurations and boundary conditions, showing the advantages of flexible operation.
Max Kollmer, Markus Vogelbacher, Mücahit Terzi, Mohit Singh, Francsico Vidal‐Vazquez, Jörg Matthes   +5 more
wiley   +1 more source

FDMNet: frequency-domain modulation network for robust object detection in hazy aerial imagery. [PDF]

Sci Rep
Zhou X, Zhang G, Shi Z, Huang S, Cheng X.   +4 more
europepmc   +1 more source

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

The 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, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

Prior-aligned frequency-domain explanations for heart sound classification: a scale-consistent attribution approach. [PDF]

Front Artif Intell
Sun Q, Li Y, Javadov A, Wu X, Schuller BW.   +4 more
europepmc   +1 more source

Review of CFD modelling techniques for single‐phase and multiphase flow in static mixers

The Canadian Journal of Chemical Engineering, EarlyView.
This review synthesizes computational fluid dynamics (CFD) approaches for static mixers, linking hydrodynamics to pressure drop, particle/droplet distributions, mixing metrics, and heat‐transfer performance to guide modelling choices and design decisions. Abstract Static mixers enable compact and low‐energy intensification.
Jussan Jaeger, Sálvio Lima de Carvalho Neto, Silvio Edegar Weschenfelder, Glaucia Rodrigues Vieira de Almeida da Fonseca, Maria de Fátima Rodrigues da Cunha, Selene Maria Arruda Guelli Ulson de Souza, Evandro Balestrin, Adriano da Silva   +7 more
wiley   +1 more source

On the Utility of Foundation Models for Fast MRI: Vision-Language-Guided Image Reconstruction. [PDF]

Magn Reson Med
Feng R, He X, Mercer R, Stewart Z, Liu F.   +4 more
europepmc   +1 more source

A partial envelope approach for modelling multivariate spatial‐temporal data

Canadian Journal of Statistics, EarlyView.
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja, Wenbo Wu, Victor De Oliveira, Keying Ye   +3 more
wiley   +1 more source

Artificial Creativity: from predictive AI to Generative System 3. [PDF]

Front Artif Intell
Chávez-Autor JC.
europepmc   +1 more source

Nonlinear permuted Granger causality

Canadian Journal of Statistics, EarlyView.
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley   +1 more source

A Convergent Generalized Krylov Subspace Method for Compressed Sensing MRI Reconstruction with Gradient-Driven Denoisers. [PDF]

IEEE Trans Comput Imaging
Hong T, Villa U, Fessler JA.
europepmc   +1 more source