Titlebook: Computational Models of Complex Systems; Vijay Kumar Mago,Vahid Dabbaghian Book 2014 Springer International Publishing Switzerland 2014 Co

refine

Classification of Child Disability Using Artificial Neural Network,to make predictions. ANNs are known to be adaptive, robust and can learn process data irrespective of methods of creation. All these spin-offs can be associated with this approach of predicting child disabilities using ANN. Such an approach has been applied in this paper to classify the type of disa

掺和

Evaluating Video and Facial Muscle Activity for a Better Assistive Technology: A Silent Speech Basetant for users with difficulty to vocalize by providing the flexibility for the users to control computers without making a sound. This chapter evaluates the feasibility of using facial muscle activity signals and mouth video to identify speech commands, in the absence of voice signals. This chapter

amputation

,Oscillatory Dynamics of Urban Hierarchies 900–2000 Vulnerability and Resilience,. data, in three different regions of Eurasia, that ., as a small-city distribution parameter, has a time-lagged effect on ., as a measure of only power-law inflection on the top 10 regional cities in China, Europe and Mid-Asia. Taking other time-lag measures into account, we interpret this as showi

中古

Preliminary Analytical Considerations in Designing a Terrorism and Extremism Online Network Extractbsites. It was found that certain words appear more often on one type of website than the other, and this may potentially serve as a good method for differentiating between terrorist websites and ones that simply refer to terrorist activities. For example, words such as “terrorist,” “security,” “mis

难取悦

Inexorable

Diatribe

Coeval

别名

https://doi.org/10.1007/978-3-642-11520-2hms with the aim to improve the ability to search under a complex environment. This algorithmic abstraction provides an analogy for a dissipative process within which trajectories are drawn through the virtual nodes of Facebook.

Defraud

EARLI: A Complex Systems Approach for Modeling Land-use Change and Settlement Growth in Early Agricues within a GIS framework. The model examines how both cultural and environmental factors influence land use change under multiple scenarios. Results from the simulations provide new insights that range from analysis of the interaction of human behavior within the local environment to the archaeological record.