This research suggests developing a deep learning model using customized CNN to categorize and predict breast cancer in timely period. The utilizes large dataset of images obtained from Kaggle, an online repository. Pre-processing techniques were applied the eliminate noise, such as shadows on images, resize lessen high computation cost. was separated into training set 80% (48, 852) test 20% (1...

Wheelchair tilt and recline functions are two of the most desirable features for relieving seating pressure to decrease the risk of pressure ulcers. The effective guidance on wheelchair tilt and recline usage is therefore critical to pressure ulcer prevention. The aim of this study was to demonstrate the feasibility of using machine learning techniques to construct an intelligent model to provi...

For many electronic supply chain networks in the world that can comprise hundreds ofcompanies with several tiers of suppliers and intermediate customers, there are numerous presentingrisks to consider. In the electronic supply chain, the situation are even worse, for the characteristics ofthis supply chain: excessive lean management, global sourcing and the rather more uncertain marketdemand. E...

This paper focuses on the forecast of hourly wind speed using an intelligent model. The hourly wind speed of the meteorological stations are forecasted and compared. The selected two sites of Taiwan meteorological stations are Lan-Yu and Tung-Chi-Tao, whose wind speeds are the highest among 25 areas during the period of 1971-2000. An intelligent time series model is developed and used to foreca...

Intelligent environment research has benefited medical care in a number of ways, including emergency detection, comfort and accessibility. However, most of these techniques have been applied in the context of a single resident, leaving out situations where there is more than one person in the living space. A current looming issue for intelligent environment systems is performing these same tech...

The mental models of experts can be encoded in computational cognitive models that can support the functioning of intelligent agents. This paper compares human mental models to computational cognitive models, and explores the extent to which the latter can be acquired automatically from published sources via automatic learning by reading. It suggests that although model components can be automa...

This paper proposes a way in which cognitive models can be exploited in practical applications in the context of Ambient Intelligence. A computational model is introduced in which a cognitive model that addresses some aspects of human functioning is taken as a point of departure. From this cognitive model relationships between cognitive states and behavioural aspects affected by these states ar...

Adversarial decision making is aimed at determining strategies to anticipate the behavior of an opponent trying to learn from our actions. One defense is to make decisions intended to confuse the opponent, although our rewards can be diminished. This idea has already been captured in an adversarial model introduced in a previous work, in which two agents separately issue responses to an unknown...

Individual behavioral differences in humans have been linked to measurable differences in their mental activities, including differences in their implicit motives. In humans, individual differences in the strength of motives such as power, achievement and affiliation have been shown to have a significant impact on behavior in social dilemma games and during other kinds of strategic interactions...