Results 61 to 70 of about 11,997,994 (262)
The energy scheduling problem: Industrial case-study and constraint propagation techniques [PDF]
, 2013 This paper deals with production scheduling involving energy constraints, typically electrical energy. We start by an industrial case-study for which we propose a two-step integer/constraint programming method.
Pierre Lopez +5 more
core +1 more source
Data-Driven Prior Construction in Hilbert Spaces for Bayesian Optimization
AlgorithmsWe propose a variant of Bayesian optimization in which probability distributions are constructed using uncertainty quantification (UQ) techniques. In this context, UQ techniques rely on a Hilbert basis expansion to infer probability distributions from ...
Carol Santos Almonte +3 more
doaj +1 more source
Data-informed deep optimization.
PLoS ONE, 2022 Motivated by the impressive success of deep learning in a wide range of scientific and industrial applications, we explore in this work the application of deep learning into a specific class of optimization problems lacking explicit formulas for both ...
Lulu Zhang, Zhi-Qin John Xu, Yaoyu Zhang
doaj +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
FEBS Open Bio, EarlyView.TisIBP8, a fungal‐derived hyperactive ice‐binding protein, helps Caenorhabditis elegans survive dehydration. It localizes near cell membranes, reduces cell damage, and helps maintain membrane structure during drying. These results suggest that ice‐binding proteins can protect cells from dehydration stress as well as freezing stress.
Daiki Shimose +9 more
wiley +1 more source
HIGH SPEED FUNCTIONALITY OPTIMIZATION OF FIVE-PHASE PM MACHINE USING 3RD HARMONIC CURRENT [PDF]
, 2013 This project was supported by the Laboratory of Electrical Engineering and Power Electronics (L2EP) France. It is a successive cooperation project between the control team and optimization team of the laboratory .Some surrogate-assisted optimization ...
GONG, Jinlin +4 more
core
Pathways and pitfalls: a qualitative study of student experiences in biomedical science education
FEBS Open Bio, EarlyView.Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell +8 more
wiley +1 more source
Observations of surrogate duality and its constraint qualifications for quasiconvex programming
, 2013 In this paper, we introduce necessary and sufficient constraint qualifications for surrogate duality results, and we show the usefulness of surrogate duality and constraint qualifications by an ...
Kuroiwa, Daishi, Suzuki, Satoshi
core +1 more source
MachinesFixed-link manipulators have limited adaptability to changes in task locations and obstacle layouts, while sequential mechanism design and trajectory planning restrict their coordinated performance.
Jingdong Qu +4 more
doaj +1 more source
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source