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 ...

% 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 ...

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 ...

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 ...