Artificial Intelligence

An AI Walk from Pharmacokinetics to Marketing (Artificial Intelligence)

INTRODUCTION This work is intended for providing a review of real-life practical applications of Artificial Intelligence (AI) methods. We focus on the use of Machine Learning (ML) methods applied to rather real problems than synthetic problems with standard and controlled environment. In particular, we will describe the following problems in next sections: • Optimization of […]

Algorithms for Association Rule Mining (Artificial Intelligence)

INTRODUCTION Association Rule Mining (ARM) is one of the important data mining tasks that has been extensively researched by data-mining community and has found wide applications in industry. An Association Rule is a pattern that implies co-occurrence of events or items in a database. Knowledge of such relationships in a database can be employed in […]

Ambient Intelligence (Artificial Intelligence)

INTRODUCTION In recent years much research and development effort has been directed towards the broad field of ambient intelligence (AmI), and this trend is set to continue for the foreseeable future. AmI aims at seamlessly integrating services within smart infrastructures to be used at home, at work, in the car, on the move, and generally […]

Ambient Intelligence Environments (Artificial Intelligence)

INTRODUCTION The trend in the direction of hardware cost reduction and miniaturization allows including computing devices in several objects and environments (embedded systems). Ambient Intelligence (AmI) deals with a new world where computing devices are spread everywhere (ubiquity), allowing the human being to interact in physical world environments in an intelligent and unobtrusive way. These […]

Analytics for Noisy Unstructured Text Data I (Artificial Intelligence)

INTRODUCTION Unfortunately computing systems are not yet as smart as the human mind. Over the last couple of years a significant number of researchers have been focussing on noisy text analytics. Noisy text data is found in informal settings (online chat, SMS, e-mails, message boards, among others) and in text produced through automated speech recognition […]

Analytics for Noisy Unstructured Text Data II (Artificial Intelligence)

INTRODUCTION The importance of text mining applications is growing proportionally with the exponential growth of electronic text. Along with the growth of internet many other sources of electronic text have become really popular. With increasing penetration of internet, many forms of communication and interaction such as email, chat, newsgroups, blogs, discussion groups, scraps etc. have […]

Angiographic Images Segmentation Techniques (Artificial Intelligence)

INTRODUCTION Heart-related pathologies are among the most frequent health problems in western society. Symptoms that point towards cardiovascular diseases are usually diagnosed with angiographies, which allow the medical expert to observe the bloodflow in the coronary arteries and detect severe narrowing (stenosis). According to the severity, extension, and location of these narrowings, the expert pronounces […]

ANN Application in the Field of Structural Concrete (Artificial Intelligence)

INTRODUCTION Artificial Intelligence (AI) mechanisms are more and more frequently applied to all sorts of civil engineering problems. New methods and algorithms which allow civil engineers to use these techniques in a different way on diverse problems are available or being made available. One AI techniques stands out over the rest: Artificial Neural Networks (ANN). […]

ANN Development with EC Tools An Overview (Artificial Intelligence)

INTRODUCTION Among all of the Artificial Intelligence techniques, Artificial Neural Networks (ANNs) have shown to be a very powerful tool (McCulloch & Pitts, 1943) (Haykin, 1999). This technique is very versatile and therefore has been succesfully applied to many different disciplines (classification, clustering, regression, modellization, etc.) However, one of the greatest problems when using ANNs […]

ANN-Based Defects' Diagnosis of Industrial Optical Devices (Artificial Intelligence)

INTRODUCTION A major step for high-quality optical devices faults diagnosis concerns scratches and digs defects detection and characterization in products. These kinds of aesthetic flaws, shaped during different manufacturing steps, could provoke harmful effects on optical devices’ functional specificities, as well as on their optical performances by generating undesirable scatter light, which could seriously damage […]

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