Results 31 to 40 of about 1,939,164 (288)
Estimation of fisheye camera external parameter based on second‐order cone programming
IET Computer Vision, 2016 Although second‐order cone programming (SOCP) has been applied to optimise camera parameters in computer vision, it is occasionally been used to refine fisheye camera external parameters as well.
Haijiang Zhu +5 more
doaj +1 more source
Energy consumption parameter analysis of industrial robots using design of experiment methodology
International Journal of Sustainable Engineering, 2021 During the last decade, industrial robot installations have increased greatly, contributing to higher energy consumption at the process level. To align with Industry 4.0 objectives to reduce energy consumption, further Industrial Internet of Things, and ...
David A. Guerra-Zubiaga +1 more
doaj +1 more source
Automatic calibration of SWMM parameters based on multi-objective optimisation model
Journal of HydroinformaticsTo address the issue of low accuracy and inefficiency in the traditional parameter calibration methods for the SWMM model, this paper constructs an automatic parameter calibration model based on multi-objective optimisation algorithms. Firstly, the Sobol
Tao Wang +5 more
doaj +1 more source
Bayesian optimisation for breeding schemes
Frontiers in Plant Science, 2023 IntroductionAdvances in genotyping technologies have provided breeders with access to the genotypic values of several thousand genetic markers in their breeding materials.
Julien Diot, Hiroyoshi Iwata
doaj +1 more source
A multi-objective optimisation-based software environment for control systems design [PDF]
, 2002 Multi-objective optimisation is a proven, well-known parameter tuning technique in control design. It is especially suited to solve complex, multi-disciplinary design problems.
Looye, Gertjan +4 more
core
Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Enhanced Parameter Estimation of DENsity CLUstEring (DENCLUE) Using Differential Evolution
MathematicsThe task of finding natural groupings within a dataset exploiting proximity of samples is known as clustering, an unsupervised learning approach. Density-based clustering algorithms, which identify arbitrarily shaped clusters using spatial dimensions and
Omer Ajmal +6 more
doaj +1 more source
Bayesian Optimisation of Solver Parameters in CBMC
, 2020 Satisfiability solvers can be embedded in applications to perform specific formal reasoning tasks. CBMC, for example, is a bounded model checker for C and C++ that embeds SMT and SAT solvers to check internally generated formulae. Such solvers will be solely used to evaluate the class of formulae generated by the embedding application and therefore may
Mangla, Chaitanya +2 more
openaire +3 more sources
Optimisation-based clearance [PDF]
, 2002 The basic feature of the optimisation-based clearance approach is to reformulate the clearance problems as equivalent minimum distance problems for which ”anti”-optimisation is performed to determine the worst-case parameter combination/ flight condition
Varga, Andras
core
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source