Now showing items 141-150 of 166
The implications of Autonomist Marxism for research and practice in education and technology.
(Taylor and Francis, 2014)
Modeling Users, Context and Devices for Ambient Assisted Living Environments
The participation of users within AAL environments is increasing thanks to the capabilities of the current wearable devices. Furthermore, the significance of considering user’s preferences, context conditions and device’s ...
Automatic Dataset Labelling and Feature Selection for Intrusion Detection Systems
Correctly labelled datasets are commonly required. Three particular scenarios are highlighted, which showcase this need. When using supervised Intrusion Detection Systems (IDSs), these systems need labelled datasets to be ...
Why do international research collaborations last? Virtuous circle of feedback loops, continuity and renewal
(Science and Public Policy, 2014-10-13)
It is often argued that the unintended consequences of science policy transformation over the last 50 years—increased role of fixed-term project funding, evaluation and temporary contracts—are short-termism, fragmentation ...
Android Malware Detection Using Parallel Machine Learning Classifiers
Mobile malware has continued to grow at an alarming rate despite on-going mitigation efforts. This has been much more prevalent on Android due to being an open platform that is rapidly overtaking other competing platforms ...
k-strong privacy for radio frequency identification authentication protocols based on physically unclonable functions
(Wiley Online Library, 2014-06-03)
This paper examines Vaudenay’s privacy model, which is one of the first and most complete privacy models that featured the notion of different privacy classes. We enhance this model by introducing two new generic adversary ...
Models for Computational Emotions from Psychological Theories Using Type-II Fuzzy Logic
Structural bias in population-based algorithms
Abstract Challenging optimisation problems are abundant in all areas of science and industry. Since the 1950s, scientists have responded to this by developing ever-diversifying families of ‘black box’ optimisation algorithms. ...
Cluster-Based Population Initialization for differential evolution frameworks
Abstract This article proposes a procedure to perform an intelligent initialization for population-based algorithms. The proposed pre-processing procedure, namely Cluster-Based Population Initialization (CBPI) consists of ...