Results 61 to 70 of about 219,337 (309)

A Surrogate Piecewise Linear Loss Function for Contextual Stochastic Linear Programs in Transport

open access: yesMathematics
Accurate decision making under uncertainty for transport problems often requires predicting unknown parameters from contextual information. Traditional two-stage frameworks separate prediction and optimization, which can lead to suboptimal decisions, as ...
Qi Hong   +4 more
doaj   +1 more source

Continuous Piecewise Linear Approximation of Plant-Based Hydro Production Function for Generation Scheduling Problems

open access: yesEnergies, 2022
An essential challenge in generation scheduling (GS) problems of hydrothermal power systems is the inclusion of adequate modeling of the hydroelectric production function (HPF).
David Lucas dos Santos Abreu   +1 more
doaj   +1 more source

Weighted $1\times1$ cut-and-project sets in bounded distance to a lattice

open access: yes, 2018
Recent results of Grepstad and Lev are used to show that weighted cut-and-project sets with one-dimensional physical space and one-dimensional internal space are bounded distance equivalent to some lattice if the weight function $h$ is continuous on the ...
Frettlöh, Dirk, Garber, Alexey
core   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

open access: yesAdvanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett   +5 more
wiley   +1 more source

Simplifying activations with linear approximations in neural networks

open access: yesMemories - Materials, Devices, Circuits and Systems
A key step in Neural Networks is activation. Among the different types of activation functions, sigmoid, tanh, and others involve the usage of exponents for calculation.
Srinivas Rahul Sapireddy   +2 more
doaj   +1 more source

Modeling nonlinear systems using multiple piecewise linear equations

open access: yesNonlinear Analysis, 2010
This paper describes a technique for modeling nonlinear systems using multiple piecewise linear equations. The technique provides a means for linearizing the nonlinear system in such a way as to not limit the large signal behavior of the target system ...
G. K. Lowe, M. A. Zohdy
doaj   +1 more source

Piecewise Linearization of Real Analytic Functions

open access: yesPublications of the Research Institute for Mathematical Sciences, 1984
Une fonction définie sur un polyèdre est appelée P. L. s'il existe une triangulation du polyèdre telle que la restriction de la fonction à tout simplexe soit linéaire. Une triangulation \(C^{\infty}\) d'une variété réelle analytique M est un couple formé par un complexe simplicial K et d'un homéomorphisme \(g: | K| \to M\), où \(| K|\) est le polyèdre ...
openaire   +3 more sources

Continuum Mechanics Modeling of Flexible Spring Joints in Surgical Robots

open access: yesAdvanced Robotics Research, EarlyView.
A new mechanical model of a tendon‐actuated helical extension spring joint in surgical robots is built using Cosserat rod theory. The model can implicitly handle the unknown contacts between adjacent coils and numerically predict spring shapes from straight to significantly bent under actuation forces.
Botian Sun   +3 more
wiley   +1 more source

The Analysis of Internet Addiction Scale Using Multivariate Adaptive Regression Splines [PDF]

open access: yesIranian Journal of Public Health, 2010
Background: Determining real effects on internet dependency is too crucial with unbiased and robust statistical method. MARS is a new non-parametric method in use in the literature for parameter estimations of cause and effect based research.
M Kayri
doaj   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

open access: yesAdvanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy