Results 101 to 110 of about 1,480,093 (371)
Support vector machine in structural reliability analysis: A review
Reliability Engineering & System Safety, 2023 Atin Roy, S. Chakraborty
semanticscholar +1 more source
Regression depth and support vector machine [PDF]
The regression depth method (RDM) proposed by Rousseeuw and Hubert [RH99] plays an important role in the area of robust regression for a continuous response variable.
Christmann, Andreas
core
Advanced Engineering Materials, EarlyView.Additive manufacturing technologies like laser powder‐bed fusion offer great design freedom and individualization of products down to a batch size of one. However, parts fabricated with this technology suffer from poor quality. Acoustic assistance during the build process can minimize these drawbacks.
Oliver Maurer, Dirk Bähre
wiley +1 more source
Residual Stress States in Microstructurally Graded PBF–LB/M Austenitic Steel Components
Advanced Engineering Materials, EarlyView.This study examines microstructurally graded 316L rectangular tube profiles fabricated via PBF–LB/M using a dual‐laser system. A 1 kW top‐hat and a 400 W Gaussian laser create distinct grain sizes and crystallographic texture. Mechanical properties are linked to microstructural evolution driven by processing conditions.
Nico Möller +5 more
wiley +1 more source
Generalization properties of finite-size polynomial support vector machines [PDF]
, 2000 Sebastián Risau-Gusman, Mirta B. Gordon
openalex +3 more sources
On robustness properties of convex risk minimization methods for pattern recognition [PDF]
The paper brings together methods from two disciplines: machine learning theory and robust statistics. Robustness properties of machine learning methods based on convex risk minimization are investigated for the problem of pattern recognition ...
Christmann, Andreas, Steinwart, Ingo
core
Advanced Engineering Materials, EarlyView.This study explores a crystal‐symmetry‐based approach to optimize mechanical properties in laser powder bed fused AISI 316L with predominant {110}<100> Goss textures. By varying the build orientation, the microstructure can be tailored and the tensile properties optimized. The tilted build (T110) achieved the highest strength while preserving ductility,
Daniel Rainer +7 more
wiley +1 more source
Biased support vector machine and weighted-smote in handling class imbalance problem
IJAIN (International Journal of Advances in Intelligent Informatics), 2018 Class imbalance occurs when instances in a class are much higher than in other classes. This machine learning major problem can affect the predicted accuracy.
Hartono Hartono +3 more
doaj +1 more source
Reliable Tissue Grasping in Robotic Minimally Invasive Surgery Enabled by Optical‐Based Slip Sensing
Advanced Engineering Materials, EarlyView.An optical‐based slip sensing method using a complementary metal–oxide–semiconductor image sensor with a built‐in infrared light emitting diode enables real‐time detection of tissue slippage—including displacement, direction, and speed—in robotic minimally invasive surgery.
Minjae Lee, Amy Kyungwon Han
wiley +1 more source
Predicting Pancreatic Cancer Using Support Vector Machine [PDF]
, 2017 This report presents an approach to predict pancreatic cancer using Support Vector Machine Classification algorithm. The research objective of this project it to predict pancreatic cancer on just genomic, just clinical and combination of genomic and ...
Bodkhe, Akshay
core +1 more source