Horse rider ability has long been measured using horse performance, competition results and visual observation. Scientific methods of measuring rider ability on the flat are emerging such as measuring position angles and ...
Interest continues to grow in the possibility of understanding the mechanism(s) of nanoparticle-cell interactions. At present there is little knowledge, and essentially no understanding, of the relevant length and time ...
While it is universally held by computer scientists that conference publications
have a higher status in computer science than in other disciplines there is little quantitative evidence in support of this position. The ...
More than 85% of reported brain traumas are classified clinically as “mild” using GCS; qualitative MRI findings are scarce and provide little correspondence to clinical symptoms. Our goal, therefore, was to establish in-vivo ...
The quaternarized pdppz derivative 1 was shown to bind strongly to DNA with concomitant changes in its ground and excited state photophysical properties. Furthermore, the compound also showed rapid cellular uptake, and ...
The integrated management of both spatial and temporal components of information is crucial in order to extract significant knowledge from datasets concerning phenomena of interest to a large variety of applications. ...
A series of rare earth (RE) (La, Nd, Pr) ceria
zirconia materials were analysed for their soot combustion
activity in air and in NO/O2. The materials were characterised
using DRIFT spectroscopy. In general the presence
of ...
This paper presents an approach to the Mario AI Benchmark problem, using the A* algorithm for navigation, and an evolutionary process combining routines for the reactiveness of the resulting bot. The Grammatical Evolution ...
This work has studied a range of acidic catalysts which have been prepared through the modification of mesoporous silica materials. Specifically we have prepared –SO3H modified materials (in the presence and absence of a ...
Consumers frequently rely on user-generated product reviews to guide purchasing decisions. Given the ever increasing volume of such reviews and variations in review
quality, consumers require assistance to effectively ...
Classic computing systems are characterised by heterogeneity, with its inherent advantages and disadvantages. This
raises a number of difficulties for software engineers. The vision offered by a mix-and-match approach is ...
Sensing, monitoring and actuating systems are expected to play a key role in reducing buildings overall energy consumption. Leveraging sensor systems to support energy efficiency in buildings poses novel research challenges ...
Genetic Programming is a form of Natural Computing which adopts principles from neo-Darwinian evolution to automatically solve problems. It is a model induction method in that both the structure and parameters of the ...
This paper describes recent results concerning the notions of differentiability and harmonicity with respect to the ne topology of classical potential theory.
In this paper we focus on an approach to social search, HeyStaks that is designed to integrate with mainstream search engines such as Google, Yahoo and Bing. HeyStaks is motivated by the idea that Web search is an inherently ...
In this paper we focus on an approach to social search,
HeyStaks that is designed to integrate with mainstream search engines
such as Google, Yahoo and Bing. HeyStaks is motivated by the idea that
Web search is an ...
With the growing availability of geo-referenced information on the Web, the problem of spatial information overload has attracted interest both in the commercial and academic world. In order to tackle this issue, personalisation ...
While search engines are the primary means by which information is located online, significant issues remain when trying to satisfy the needs of searchers, especially in the face of the type of vague queries
that dominate ...
For the main part, when it comes to questions of retrieval, the focus of CBR research has been on the retrieval of cases from a repository of experience knowledge or case base. In this paper we consider a complementary ...
In this paper we focus on a multi-case case-based reasoning system to support users during collaborative search tasks. In particular we describe how repositories of search experiences/knowledge can be recommended to users ...