— We target the problem of predicting resource usage in situations where the modeling data is scarce, non-stationary, or expensive to obtain. This scenario occurs frequently in c...
Robust and resilient interconnected structures rely on decision procedures, both under uncertainty and multicriteria. In decision under uncertainty, we aim at finding a scoring p...
er presents an approach to deriving an abstract geometric model of a table from a physical representation. The technique developed uses a graph of constraints between cells which ...
The RETE algorithm is a very efficient option for the development of a rule-based system, but it supports only boolean, first order logic. Many real-world contexts, instead, requir...
A granular neural Web-based stock prediction agent is developed using the granular neural network (GNN) that can discover fuzzy rules. Stock data sets are downloaded from www.yahoo...
Yan-Qing Zhang, Somasheker Akkaladevi, George J. V...