Browsing School of Computer Science and Informatics by Title
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Validation of convolutional layers in deep learning models to identify patterns in multispectral images: Identification of palm units
(Preprint)The convolutional neural networks (CNN) are considered as a particular case of the Deep Learning neural networks, and have been widely used for the extraction of features in images, audio files or text recognition. For the ... -
The validity of using non-representative users in gaze communication research.
(Conference)Gaze-based interaction techniques have been investigated for the last two decades, and in many cases the evaluation of these has been based on trials with able-bodied users and conventional usability criteria, mainly ... -
Value of Smart Data for Supply Chain Decisions in a Data Rich, Uncertain World
(Conference)Data-driven decisions are becoming increasingly relevant for supply chains as traditional paradigms are being replaced with concepts and approaches more suited for the advent of big data. However, the prevailing consensus ... -
VANET Coverage Analysis for GPS Augmentation Data in Rural Area
(Conference)Enhanced position accuracy is key for modern navigation systems, location based services and applications based on Inter-Vehicle Communication (IVC). Position data are the foundation for deriving vehicle trajectories ... -
VANSec Attack Resistant VANETs Security Algorithm in terms of Trust Computation Error and Normalized Routing Overhead
(Article)VANET is an application and subclass of MANETs, a quickly maturing, promising, and emerging technology these days. VANETs establish communication among vehicles (V2V) and roadside infrastructure (V2I). As vehicles move ... -
Variance Ranking for Multi-Classed Imbalanced Datasets: A Case Study of One-Versus-All
(Article)Imbalanced classes in multi-classed datasets is one of the most salient hindrances to the accuracy and dependable results of predictive modeling. In predictions, there are always majority and minority classes, and in most ... -
A variance-based consensus degree in group decision making problems
(Conference)The variance is a well-known statistical measure and is frequently used for the calculation of variability. This concept can be used to obtain the degree of agreement in groups that have to make decisions. In this study, ... -
Vehicle detection and classification in difficult environmental conditions using deep learning
(Conference)The time drivers spend stuck in traffic is increasing annually, on a global level. Time lost in traffic imposes costs both economically and socially. Tracking congestion throughout the road network is critical in an ... -
VIPR: A Visual Interface Tool for Programming Semantic Web Rules
(Conference)Semantic technologies have evolved from the initial purpose of supporting semantic integration, information exchange for the semantic web, towards a generic set of engineering tools for knowledge modelling, representation, ... -
Virtuous Business Intelligence
(Article)This paper examines three approaches to ethics and focuses on the development of character and the practice of virtue in business intelligence (BI). The paper describes BI as a tool for mediating the relationships between ... -
Visual consensus feedback mechanism for group decision making with complementary linguistic preference relations
(Book chapter)A visual consensus feedback mechanism for group decision making (GDM) problems with complementary linguistic preference relations is presented. Linguistic preferences are modelled using triangular fuzzy membership functions, ...