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Privacy has recently gained an importance beyond the field of cryptography. In that regard, the main goal behind this thesis is to enhance privacy protection. All of the necessary mathematical and cryptographic preliminaries are introduced at the start of ...
Learning Design (LD) and Learning Analytics (LA) are both domains of research and action that aim to improve learning effectiveness. The fact of sharing a common aim raises the potential of the synergies that may emerge between them. Indeed, there has been ...
This paper introduces a hierarchical framework that is capable of learning complex sequential tasks from human demonstrations through kinesthetic teaching, with minimal human intervention. Via an automatic task segmentation and action primitive discovery a ...
This paper revisits the Doctrine of Public Cybersecurity in order to shed light on debates about information sharing, by exploring its potential utility, and considering policies to mitigate its impact on other societal values. Its goal is not to advocate ...
Folk wisdom usually takes the number of participants as an often necessary and sufficient condition for identifying a crowd. This assumption has diffused among academics interested in crowdsourcing and collective intelligence as well. Yet, consider 50 peop ...
We consider elliptic random walks in i.i.d. random environments on . The main goal of this paper is to study under which ellipticity conditions local trapping occurs. Our main result is to exhibit an ellipticity criterion for ballistic behavior which exten ...
Various approaches have been proposed to detect the R-waves in the ECG. From the derivative-based to more complicated wavelet transform methods, the main goal of these approaches is to extract the R-waves from the perturbations present in the ECG. Our stud ...
In this study, a survey on control allocation algorithms in tactical level control for path tracking unmanned surface vehicles (USV) is conducted. The strategic goal in the path tracking problem is to assist navigation solution of an unmanned underwater ve ...
This paper presents an approach to automatically create a knowledge base for smart buildings and let it dynamically evolve based on the behaviors of the occupants inside. Such a knowledge base compromises all life-style experiences and intelligent building ...
This paper introduces a hierarchical framework that is capable of learning complex sequential tasks from human demonstrations through kinesthetic teaching, with minimal human intervention. Via an automatic task segmentation and action primitive discovery a ...