Results 61 to 70 of about 3,734,396 (145)
Deep Learning-Based Vibration Signal Personnel Positioning System
In this work, we present a person localization system based on ground vibration caused by walking persons. The system is designed for production plants and large buildings to track the movement of workers.
Yang Yu +4 more
doaj +1 more source
Adaptive Second-Order Sliding Mode Control of Buck Converters with Multi-Disturbances
In this paper, a novel adaptive second-order sliding mode (2-SM) control approach, based on online zero-crossing detection, was proposed to solve the problems of the chattering and fixed control gain for buck converters with multi-disturbances.
Yanmin Wang +5 more
doaj +1 more source
Adversarial Robustness: Softmax versus Openmax
Deep neural networks (DNNs) provide state-of-the-art results on various tasks and are widely used in real world applications. However, it was discovered that machine learning models, including the best performing DNNs, suffer from a fundamental problem ...
Boult, Terrance E. +2 more
core +1 more source
Feature Selection Embedded Robust K-Means
Clustering is one of the most important unsupervised learning problems in machine learning. As one of the most widely used clustering algorithms, K-means has been studied extensively.
Qian Zhang, Chong Peng
doaj +1 more source
Robustness of Cloud Manufacturing System Based on Complex Network and Multi-Agent Simulation
Cloud manufacturing systems (CMSs) are networked, distributed and loosely coupled, so they face great uncertainty and risk. This paper combines the complex network model with multi-agent simulation in a novel approach to the robustness analysis of CMSs ...
Xin Zheng, Xiaodong Zhang
doaj +1 more source
Knockouts, Robustness and Cell Cycles
The response to a knockout of a node is a characteristic feature of a networked dynamical system. Knockout resilience in the dynamics of the remaining nodes is a sign of robustness.
A. Wagner +7 more
core +1 more source
A new shape optimization with robustness and its application for brake squeal phenomena
This paper proposes a new shape optimization with robustness, and its application for disc brake squeal phenomena is shown. The disc brake squeal is known as self-excited vibration; the real and imaginary parts of the complex eigenvalue indicate the ...
Kohei FURUYA +2 more
doaj +1 more source
The robustness of democratic consensus
In linear models of consensus dynamics, the state of the various agents converges to a value which is a convex combination of the agents' initial states. We call it democratic if in the large scale limit (number of agents going to infinity) the vector of
Delvenne, Jean-Charles, Fagnani, Fabio
core +1 more source
Robustness Verification for Classifier Ensembles
We give a formal verification procedure that decides whether a classifier ensemble is robust against arbitrary randomized attacks. Such attacks consist of a set of deterministic attacks and a distribution over this set.
Gross, Dennis +3 more
core
Local Projection Inference Is Simpler and More Robust Than You Think [PDF]
José Luis Montiel Olea +1 more
openalex +1 more source

