All Outputs (221)

Interpretability indices for hierarchical fuzzy systems (2017)
Conference Proceeding

© 2017 IEEE. Hierarchical fuzzy systems (HFSs) have been shown to have the potential to improve interpretability of fuzzy logic systems (FLSs). In recent years, a variety of indices have been proposed to measure the interpretability of FLSs such as t... Read More about Interpretability indices for hierarchical fuzzy systems.

Similarity-based non-singleton fuzzy logic control for improved performance in UAVs (2017)
Conference Proceeding

© 2017 IEEE. As non-singleton fuzzy logic controllers (NSFLCs) are capable of capturing input uncertainties, they have been effectively used to control and navigate unmanned aerial vehicles (UAVs) recently. To further enhance the capability to handle... Read More about Similarity-based non-singleton fuzzy logic control for improved performance in UAVs.

Developmental morphology of cover crop species exhibit contrasting behaviour to changes in soil bulk density, revealed by X-ray computed tomography (2017)
Journal Article

Plant roots growing through soil typically encounter considerable structural heterogeneity, and local variations in soil dry bulk density. The way the in situ architecture of root systems of different species respond to such heterogeneity is poorly u... Read More about Developmental morphology of cover crop species exhibit contrasting behaviour to changes in soil bulk density, revealed by X-ray computed tomography.

Automatic analysis of facial actions: a survey (2017)
Journal Article

As one of the most comprehensive and objective ways to describe facial expressions, the Facial Action Coding System (FACS) has recently received significant attention. Over the past 30 years, extensive research has been conducted by psychologists and... Read More about Automatic analysis of facial actions: a survey.

Coalition and group announcement logic (2017)
Conference Proceeding

Dynamic epistemic logics which model abilities of agents to make various announcements and influence each other’s knowledge have been studied extensively in recent years. Two notable examples of such logics are Group Announcement Logic and Coalition... Read More about Coalition and group announcement logic.

A novel cross-layer framework for large scale emergency communications (2017)
Conference Proceeding

This paper explores the problem of improving coverage and capacity of large-scale communication networks in disaster-struck areas. We propose a novel integrated dynamic cross-layer distributed energy aware emergency framework, E3F, that spans large g... Read More about A novel cross-layer framework for large scale emergency communications.

Emotion and polarity prediction from Twitter (2017)
Conference Proceeding

Classification of public information from microblogging and social networking services could yield interesting outcomes and insights into the social and public opinions towards different services, products, and events. Microblogging and social networ... Read More about Emotion and polarity prediction from Twitter.

Introducing anisotropic tensor to high order variational model for image restoration (2017)
Journal Article

Second order total variation (SOTV) models have advantages for image restoration over their first order counterparts including their ability to remove the staircase artefact in the restored image. However, such models tend to blur the reconstructed i... Read More about Introducing anisotropic tensor to high order variational model for image restoration.

Toward process control from formal models of transformable manufacturing systems (2017)
Journal Article

The automation and flexibility of production systems is a key step towards improved profitability and competitiveness in high labour cost areas, when producing high-complexity, low-volume products. In the Evolvable Assembly Systems (EAS) project, the... Read More about Toward process control from formal models of transformable manufacturing systems.

Exact fuzzy k-Nearest neighbor classification for big datasets (2017)
Conference Proceeding

The k-Nearest Neighbors (kNN) classifier is one of the most effective methods in supervised learning problems. It classifies unseen cases comparing their similarity with the training data. Nevertheless, it gives to each labeled sample the same import... Read More about Exact fuzzy k-Nearest neighbor classification for big datasets.

Interval-valued sensory evaluation for customized beverage product formulation and continuous manufacturing (2017)
Conference Proceeding

Understanding of consumer preferences and perceptions is a vital challenge for the food and beverage industry. Food and beverage product development is a very complex process that deals with highly uncertain factors, including consumer perceptions an... Read More about Interval-valued sensory evaluation for customized beverage product formulation and continuous manufacturing.

Tuning a Simulated Annealing metaheuristic for cross-domain search (2017)
Conference Proceeding

Simulated Annealing is a well known local search metaheuristic used for solving computationally hard optimization problems. Cross-domain search poses a higher level issue where a single solution method is used with minor, preferably no modification f... Read More about Tuning a Simulated Annealing metaheuristic for cross-domain search.

Information core optimization using Evolutionary Algorithm with Elite Population in recommender systems (2017)
Conference Proceeding

Recommender system (RS) plays an important role in helping users find the information they are interested in and providing accurate personality recommendation. It has been found that among all the users, there are some user groups called “core users”... Read More about Information core optimization using Evolutionary Algorithm with Elite Population in recommender systems.

A first attempt on global evolutionary undersampling for imbalanced big data (2017)
Conference Proceeding

The design of efficient big data learning models has become a common need in a great number of applications. The massive amounts of available data may hinder the use of traditional data mining techniques, especially when evolutionary algorithms are i... Read More about A first attempt on global evolutionary undersampling for imbalanced big data.

Change detection in SAR images based on the salient map guidance and an accelerated genetic algorithm (2017)
Conference Proceeding

This paper proposes a change detection algorithm in synthetic aperture radar (SAR) images based on the salient image guidance and an accelerated genetic algorithm (S-aGA). The difference image is first generated by logarithm ratio operator based on t... Read More about Change detection in SAR images based on the salient map guidance and an accelerated genetic algorithm.

Diversity-based adaptive genetic algorithm for a Workforce Scheduling and Routing Problem (2017)
Conference Proceeding

The Workforce Scheduling and Routing Problem refers to the assignment of personnel to visits across various geographical locations. Solving this problem demands tackling numerous scheduling and routing constraints while aiming to minimise total opera... Read More about Diversity-based adaptive genetic algorithm for a Workforce Scheduling and Routing Problem.

Automated segmentation of retinal layers from optical coherence tomography images using geodesic distance (2017)
Journal Article

Optical coherence tomography (OCT) is a noninvasive imaging technique that can produce images of the eye at the microscopic level. OCT image segmentation to detect retinal layer boundaries is a fundamental procedure for diagnosing and monitoring the... Read More about Automated segmentation of retinal layers from optical coherence tomography images using geodesic distance.

Quantification of root water uptake in soil using X-ray computed tomography and image-based modelling: Quantification of root water uptake in soil (2017)
Journal Article

Spatially averaged models of root-soil interactions are often used to calculate plant water uptake. Using a combination of X-ray Computed Tomography (CT) and image based modelling we tested the accuracy of this spatial averaging by directly calculati... Read More about Quantification of root water uptake in soil using X-ray computed tomography and image-based modelling: Quantification of root water uptake in soil.

Multi-start methods for the capacitated clustering problem (2017)
Conference Proceeding

In this work, we investigate the adaptation of the Greedy Randomized Adaptive Search Procedure (GRASP) and Iterated Greedy methodologies to the Capacitated Clustering Problem (CCP). In particular, we focus on the effect of the balance between randomi... Read More about Multi-start methods for the capacitated clustering problem.

Randomized heuristics for the Capacitated Clustering Problem (2017)
Journal Article

In this paper, we investigate the adaptation of the Greedy Randomized Adaptive Search Procedure (GRASP) and Iterated Greedy methodologies to the Capacitated Clustering Problem (CCP). In particular, we focus on the effect of the balance between random... Read More about Randomized heuristics for the Capacitated Clustering Problem.