Results 41 to 50 of about 4,909,083 (351)
Applied Sciences, 2022 The 3D body scan technology has recently innovated the way of measuring human bodies and generated a large volume of body measurements. However, one inherent issue that plagues the use of the resultant database is the missing data usually caused by using
Xuebo Liu, Yingying Wu, Hongyu Wu
doaj +1 more source
Unscented Bayesian Optimization for Safe Robot Grasping [PDF]
, 2016 We address the robot grasp optimization problem of unknown objects considering uncertainty in the input space. Grasping unknown objects can be achieved by using a trial and error exploration strategy.
Bernardino, Alexandre +3 more
core +2 more sources
Application of Improved LightGBM Model in Blood Glucose Prediction
Applied Sciences, 2020 In recent years, with increasing social pressure and irregular schedules, many people have developed unhealthy eating habits, which has resulted in an increasing number of patients with diabetes, a disease that cannot be cured under the current medical ...
Yan Wang, Tao Wang
doaj +1 more source
Novel Ensemble Tree Solution for Rockburst Prediction Using Deep Forest
Mathematics, 2022 The occurrence of rockburst can cause significant disasters in underground rock engineering. It is crucial to predict and prevent rockburst in deep tunnels and mines. In this paper, the deficiencies of ensemble learning algorithms in rockburst prediction
Diyuan Li +4 more
doaj +1 more source
A Bayesian approach to constrained single- and multi-objective optimization [PDF]
, 2016 This article addresses the problem of derivative-free (single- or multi-objective) optimization subject to multiple inequality constraints. Both the objective and constraint functions are assumed to be smooth, non-linear and expensive to evaluate.
A Bayesian +7 more
core +5 more sources
Bayesian Optimization for Conformer Generation [PDF]
Journal of Cheminformatics, 2018 Generating low-energy molecular conformers is a key task for many areas of computational chemistry, molecular modeling and cheminformatics. Most current conformer generation methods primarily focus on generating geometrically diverse conformers rather than finding the most probable or energetically lowest minima.
Lucian Chan +2 more
openaire +4 more sources
Bayesian optimization with active learning of design constraints using an entropy-based approach
npj Computational Materials, 2023 The design of alloys for use in gas turbine engine blades is a complex task that involves balancing multiple objectives and constraints. Candidate alloys must be ductile at room temperature and retain their yield strength at high temperatures, as well as
D. Khatamsaz +5 more
semanticscholar +1 more source
Bayesian Gait Optimization for Bipedal Locomotion [PDF]
, 2014 One of the key challenges in robotic bipedal locomotion is finding gait parameters that optimize a desired performance criterion, such as speed, robustness or energy efficiency.
Calandra, R +4 more
core +2 more sources
Imprecise Bayesian optimization
Knowledge-Based SystemsJulian Rodemann, Thomas Augustin
semanticscholar +3 more sources
Exploration of outliers in strength–ductility relationship of dual-phase steels
Science and Technology of Advanced Materials: Methods, 2022 To overcome the trade-off relationship between tensile strength and elongation of dual-phase steels, three exploratory techniques were utilized: Bayesian optimization (BO), BoundLess Objective-free eXploration (BLOX), and one-class support vector machine
Takayuki Shiraiwa +3 more
doaj +1 more source