This paper provides an in-depth review of the optimal design of type-1 and type-2 fuzzy
inference systems (FIS) using five well known computational frameworks: genetic-fuzzy …

Intelligent traffic management can be considered one of the most promising solutions to
contemporary traffic problems. The traffic in transportation associated with emergency …

A deep convolutional fuzzy system (DCFS) on a high-dimensional input space is a multilayer
connection of many low-dimensional fuzzy systems, where the input variables to the low …

To simultaneously enable multiple autonomous driving services on affordable embedded
systems, we designed and implemented LoPECS, a Low-Power Edge Computing System …

Data-driven design of accurate and reliable Takagi-Sugeno (TS) fuzzy systems has attracted
a lot of attention, where the model structures and parameters are important and often solved …

A neuro-fuzzy system is a learning machine that finds the parameters of a fuzzy system
using approximate techniques of neural networks. Both neural network and fuzzy system …

This paper proposes a novel hybrid learning algorithm with stable learning laws for Adaptive
Network-based Fuzzy Inference System (ANFIS) as a system identifier. The proposed hybrid …

Usually, road networks are characterized by their great dynamics including different entities
in interactions. This leads to more complex road traffic management. This paper proposes …

As Hadoop is becoming increasingly popular in large-scale data analysis, there is a growing
need for providing predictable services to users who have strict requirements on job …

Today enterprises have massive stream data that require to be processed in real time due to
data explosion in recent years. Spark Streaming as an emerging system is developed to …