In this work, we propose an expert-based model called GSFM that combines Social Force Model and Game theory and a DL model called LSTM-DBSCAN that manipulates Long Short-Term Memories and density-based clustering for multi-agent trajectory prediction. We create a common framework to run these ...
Expert-based effort estimation modelsMental modelsBayesian networksReasoning under uncertaintyBayesian networks knowledge engineering processProcess improvementStructure buildingModel validationWeb effort estimationRegression analysisBayesian networks are models that enable reasoning under uncertainty, thus making them ...
An expert system package for the selection of dust collectors' components is developed. The developed package utilizes database as well as knowledge base to aid the selection process based on practice and past experience. Industrial case studies are demonstrated to test the developed package and ...
This article reviews and synthesizes the uses of expert-based information in policy subsystems. The review begins by summarizing the different uses of information in the multiple streams theory, the punctuated equilibrium theory, the social construction theory, and the advocacy coalition framework. Thre...
In light of the uncertainties related to the developments of the mineral construction material (MCM) market, this paper presents an expert-based formative scenario analysis (FSA) aiming to elaborate possible future states for the "C&D waste recycling" system in the Canton of Zurich for the year ...
sleep stagesIn this study, we aim to automate the sleep stage scoring process of overnight polysomnography (PSG) data while adhering to expert-based rules. We developed a sleep stage scoring algorithm utilizing the generalized linear modelling (GLM) framework and extracted features from ...
An expert-based approach to forest road network planning by combining Delphi and spatial multi-criteria evaluation. Environmental Monitoring and Assessment, 185 (2), Springer Publications, 1767-1776.HAYATI E, MAJNOUNIAN B, ABDI E, SESSIONS J, MAKHDOUM M. (2013). An expert-based approach to ...
This study aims to compare the convergence between a qualitative expert-based analysis developed within a roadmapping project and a quantitative-based analysis using bibliometric techniques. It addressed articles selected by 31 international experts in a roadmapping project commissioned by an organization foc...
The aim of this review is to provide non-specialists with an expert-based, detailed description of NP-C signs and symptoms, including how they present in patients and how they can be assessed. Early disease detection should rely on seeking a combination of signs and symptoms, rather than ...
Currently, classifiers are evaluated through human input using an expert-based system; therefore, this paper acts as the proof of concept for collaborative classifiers. Because we decompose the problem into smaller, more manageable sub-tasks, our classification exhibits increased flexibility compared to ...