Results 231 to 240 of about 15,840 (305)

Structural characterization and optimum machining parameters of jute/carbon fibre hybrid reinforced epoxy composite laminates

Polymer International, EarlyView.
Hybrid jute/carbon epoxy laminates have better mechanical performance and less drilling damage by the use of optimized stacking sequence and machining parameters. Abstract Three composite laminate systems were produced using the standard hand lay‐up method: jute‐fibre‐reinforced polymer (JFRP), carbon‐fibre‐reinforced polymer (CFRP) and a hybrid of the
Paulraj Prabhu, Anbalagan Arunkumar, Nadir Ayrilmis, Vellingiri Suresh, Ram Subbiah, Emarose Shankar   +5 more
wiley   +1 more source

Recovering a lost seismic disaster. The destruction of El Castillejo and the discovery of the earliest historic earthquake affecting the Granada region (Spain). [PDF]

PLoS One
Forlin P, Reicherter K, Gerrard CM, Bailiff I, García Porras A.   +4 more
europepmc   +1 more source

A Self‐Supervised Machine Learning Approach for the Estimation of Open‐Circuit Voltage Degradation in Photovoltaic Systems

Progress in Photovoltaics: Research and Applications, EarlyView.
This study introduces a self‐supervised machine learning approach integrating physics‐based principles to estimate open‐circuit voltage (voc$$ {v}_{oc} $$) degradation in photovoltaic systems using SCADA data. By combining clustering and regression algorithms, our method detects performance deviations without labelled datasets.
Sandra Riaño, Jose‐Domingo Santos, Miguel Esteras, Amaia Abanda, Javier Del Ser   +4 more
wiley   +1 more source

The zero-emissions resource pool: construction materials compatible with a realistic view of delivering zero-emissions in the UK by 2050. [PDF]

Archit Struct Constr
Taylor C, Allwood JM, Watari T, Hawkins W.   +3 more
europepmc   +1 more source

A Machine Learning Approach to Predict Functional Performance From Measurable Protein Structural Characteristics: A Screening Tool for Protein Ingredient Quality

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT The food industry is witnessing the emergence of specialized protein‐based functional ingredients for the use as gelling, thickening, and/or emulsifying agents in various food applications. Different sources of protein including species and cultivars, as well as variable processing conditions affect the protein's structural characteristics ...
Ronit Mandal, Sara Malvar, Ranveer Chandra, Baraem P. Ismail   +3 more
wiley   +1 more source

The propagation characteristics of seismic waves in ultra-deep overburden by large-scale shaking table test. [PDF]

Sci Rep
Xing Y, Wentao L, Shibin W, Zhixiong C, Xuanming D.   +4 more
europepmc   +1 more source

Bivariate postprocessing of wind vectors

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner, David Jobst, Annette Möller, Claudia Czado   +3 more
wiley   +1 more source

Evaluation of strategies for the diagnosis of Chagas disease in an endemic area: SaMi-Trop study. [PDF]

Rev Inst Med Trop Sao Paulo
Santos ICJ, Taconeli CA, Sabino EC, Ribeiro ALP, Souza AB, Sena ABC, Cruz DS, Leite SF, Santos ACJ, Lacerda AM, Fernandes LF, Haikal DS, Romero IM, Araújo DD, Ferreira AM.   +14 more
europepmc   +1 more source

A CNN Approach for Simultaneous Spatiotemporal Fault Interpretation

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Convolutional Neural Networks (CNNs) have emerged as one of the most effective tools for image analysis. In this study, we propose a custom‐designed CNN architecture to construct a process control scheme based on image data. The product image is partitioned into equal‐sized grids, each comprising three channels: (i) reference image, (ii ...
Hamed Sabahno
wiley   +1 more source

Output‐Feedback H∞$$ {H}_{\infty } $$ Detector‐Based Control of Continuous‐Time Markov Jump Lur'e Systems With Sector‐Bound Optimization

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper addresses the problem of dynamic output‐feedback H∞$$ {H}_{\infty } $$ detector‐based control for continuous‐time Markov Jump Lur'e Systems with uncertain transition rate matrices. In contrast to conventional approaches, the proposed synthesis conditions are derived using Finsler's lemma, introducing additional slack variables to ...
Lucas P. M. Silva, Cecilia F. Morais, Ricardo C. L. F. Oliveira   +2 more
wiley   +1 more source