Adversarial examples have become one of the largest challenges that machine learning models, especially neural network classifiers, face. These adversarial examples break the assumption of attack-free ...

% performed indipendentely on each category type. At the end the function % returns as many object detections lists as number of categories. % 2) model_obj_rec: a struct with the object recognition ...

The ability to form multiple carbon–carbon bonds in a controlled sequence and thus rapidly build molecular complexity in an iterative fashion is an important goal in modern chemical synthesis. In ...

Abstract: In this article, an iterative indirect Kalman filter is proposed to realize motion estimation based on inertial sensors. In the fusion of gyroscope, accelerometer, and magnetometer ...

First of all, I want to clarify that these examples are (at least currently), extensively based on the examples at this repository by Aymeric Damien and this by Nathan Lintz (to whom I have to thank ...

Abstract: In this article, a data-driven distributed leader–follower iterative learning consensus tracking control approach is proposed for unknown repetitive nonlinear nonaffine discrete-time ...