Markov Decision Processes (MDPs) have been extensively studied and used in the context of planning and decision-making, and many methods exist to find the optimal policy for probl...
- The objective of this paper is to present a graphical-user-interface (GUI) in support of a decision support system (KASER) for machine understanding. In order to provide informat...
Isai Michel Lombera, Jayeshkumar Patel, Stuart Har...
Abstract. In this paper, we give an overview of the Locomotive Simulater/Optimizer (LSO) decision support system developed by us for railroads. This software is designed to imitate...
Artyom G. Nahapetyan, Ravindra K. Ahuja, F. Zeynep...
Due to the rapid advancement of electronic commerce and web technologies in recent years, the concepts and applications of decision support systems have been significantly extende...
Space applications’ users have been relying for the past decades on custom developed software tools capable of addressing short term necessities during critical Spacecraft contro...
This paper covers the research problem of supporting users' decision making in E-Commerce systems with complex choices, and design of an Adaptive Decision Support System (ADS...
The aim of this paper is to propose a service oriented decision support system based on an ontology-driven uncertainty model (OntoBayes). OntoBayes consists of knowledge and decis...
A rule-based Decision Support System is presented for the diagnosis of Coronary Artery Disease. The generation of the decision support system is realized automatically using a thr...
Markos G. Tsipouras, Themis P. Exarchos, Dimitrios...
—Rain and snow can have a distorting effect on Ku and Ka bands signal fidelity resulting in excessive digital transmission errors. This loss of signal attenuation is commonly ref...
Kamal Harb, Anand Srinivasan, Changcheng Huang, Br...
A distributed decision support system involving multiple clinical centres is crucial to the diagnosis of rare diseases. Although sharing of valid diagnosed cases can facilitate la...