Search Results

Algorithm aversion occurs when humans are reluctant to use algorithms despite their superior performance. Studies show that giving users outcome control by providing agency over how models’ predictions are incorporated into decision-making mitigates ...

Previous studies have focused on the biases and feedback loops that occur in predictive policing algorithms. These studies show how systemically and institutionally biased data leads to these feedback loops when predictive policing algorithms are ...

Recent advances in immersive technologies such as Augmented Reality (AR) provide new opportunities to explore, analyze and present data through Immersive Analytics (IA). This study presents a thorough overview of current research in immersive AR and ...

Rail modeling and simulation is an effective decision support instrument for planning and designing complex rail infrastructures and operations. To successfully support these activities at a large scale, the simulation model should be sufficiently ...

Although there have been several recent attempts to automate steps of the process of model development and analysis in cell signaling networks, closing the overall cycle between information extraction, model assembly and analysis, and design of ...

This paper presents a modeling method to demonstrate engagement-level military simulation which includes few combat objects, or entities. To this end, the paper, on the basis of the discrete event system specification (DEVS) formalism, centers on two ...

Public cloud data security in cloud computing is due to the data stored in the cloud. It's in a low cost and high efficiency, also bring the data the possibility of abuse. Therefore, in this paper, researching the model respond to threats based on the ...

In this paper, we present a framework for engineering collective intelligence systems that will be used by web communities. The proposed framework enables the development of community-driven, self-regulating CI systems, which adapt their functionality ...

Effective learning in multi-label classification (MLC) requires an appropriate level of abstraction for representing the relationship between each instance and multiple categories. Current MLC methods have been focused on learning-to-map from instances ...

An efficient way of searching the CAD models for reusing the design knowledge is proposed in this paper. Three searching interfaces are provided for the consideration of different requirements in the procedure of model design. The text-based searching ...

This target-oriented management of a university model of performance evaluation has been designed, mainly introduces the overall program management by objective performance evaluation index system for the design and establishment, and performance ...

In recent years there has been a growing interest in applying metaheuristic search algorithms in model-checking. On the other hand, model checking has been used far less in other software engineering activities, such as model design and software ...

Based on data collected previously on the electricity market of the East China, we use stepwise regression method to find the approximate expression of the active power flow of each power sets on East China’s certain electrical network. Then classified ...

The computer simulation classes in the Computer and Information Sciences and Engineering Department at the University of Florida emphasize a skill set focusing on dynamic system model construction, syntax, and execution. Simulation models are treated as ...

The task of synthesis of the predicting models on the basis of a fuzzy group method of data handling is considered. Problem of adapting of coefficients of the predicting model also is considered and the algorithm of its solution based on a method of ...

There are numerous forms for dynamic models, which specify how an object or scene behaves over time. Discrete state automata, Petri nets, and data flow graphs are only a few samples of model types available, which aid modelers in capturing dynamics. ...

Increasingly, models of technical and environmental systems are being developed to support decisions related to the setting of public policy. These efforts are aimed at providing tools which can be used in a variety of roles, such as: for assessment - ...

The discipline of modeling has advanced only slowly compared to disciplines concerned with analyzing and solving models once they are brought into being. Structured Modeling is an attempt to redress this imbalance.

Structured Modeling aims to provide a ...