The predictive accuracy of expert systems is often evaluated in specific situations, i.e. with noise-free and domain-specific data, or with speciJic predictive protocols such as data fitting or resampling. Consequently the predictive tests depend on the situation and comparisons between models are dificult. This paper examines the general problem of prediction in the context of one particular s...

Nowadays, dust phenomenon is one of the important challenges in warm and dry areas. Forecasting the phenomenon before its occurrence helps to take precautionary steps to prevent its consequences. Fuzzy expert systems capabilities have been taken into account to assist and cope with the uncertainty associated to complex environments such as dust forecasting problem. This paper presents novel hyb...

Nowadays, dust phenomenon is one of the important challenges in warm and dry areas. Forecasting the phenomenon before its occurrence helps to take precautionary steps to prevent its consequences. Fuzzy expert systems capabilities have been taken into account to assist and cope with the uncertainty associated to complex environments such as dust forecasting problem. This paper presents novel hyb...

We present a slicing-based coherence measure for clusters of DTI integral curves. For a given cluster, we probe samples from the cluster by “slicing” it with a plane at regularly spaced locations parameterized by curve arclengths. Then we compute a stability measure based on the spatial relations between the projections of the curve points in individual slices and their change across the slices...

Capillary Non-Perfusion (CNP) is a condition in diabetic retinopathy where blood ceases to flow to certain parts of the retina, potentially leading to blindness. This paper presents a solution for automatically detecting and segmenting CNP regions from fundus fluorescein angiograms (FFAs). CNPs are modelled as valleys, and a novel multiresolution technique for trough-based valley detection is p...

We present a slicing-based coherence measure for clusters of DTI integral curves. For a given cluster, we probe samples from the cluster by slicing it with a plane at regularly spaced locations parametrized by curve arc lengths. Then we compute a stability measure based on the spatial relations between the projections of the curve points in individual slices and their change across the slices. ...

Our goal is the integration of accurate scientific computation and intelligent object-oriented techniques to obtain powerful tools that can be used for the successful development of scientific expert systems, i.e. systems which provide expertise in the choice of algorithms within a particular problem domain and generate reliable, robust and maximally accurate results of full integrity. The need...

ABSTRACT Spatial scheduling considers not only traditional scheduling constraints like resource capacity and due dates, but also dynamic spatial layout of the objects. Automation of spatial scheduling is particularly important when the spatial resources are critical bottleneck resources, as is the case in the shipbuilding industry. To develop a spatial scheduling expert system for shipbuilding,...