Using technology to assist both dementia patients and caregivers is of interest to caregivers, professionals, and treatment providers. This study looks to develop a system for detecting task performance of caregivers for dementia patients. In this interdisciplinary study, we create CAST (Caregiver Assessment using Smart Technology), a mobile application that personalizes a traditional word scra...

Edge detection is one of the most important low level steps in image processing. In this work we propose a fuzzy ensemble based method for edge detection including a fuzzy c-means (FCM) approach to define the input membership functions of the fuzzy inference system (FIS). We tested the performance of the method using a public database with ground truth. Also, we compared our proposal with class...

river flow forecasting for a region has a special and important role for optimal allocation of water resources. in this research, for forecasting river flow process, fuzzy inference system (fis) is used. three parameters including precipitation, temperature and daily discharge are used for forecasting of daily river flow of lighvan river located in lighvanchai watershed. for the initial preproc...

Diabetes is a life style disease, which can cause due to sedentary life style, physical inactivity and unbalanced diet. It occurs due to the body does not able to produce insulin or use it properly, which is required to convert the sugar into energy needed for daily life. Once diabetes diagnosed, it can’t be cured completely but with proper medicine, exercise and balanced diet it can be control...

Information on the future state of traffic flow provides a solid foundation for the efficient implementation of traffic control and guidance. The prediction approaches based on fuzzy logic theory is of great interests, because the rule-based inference is similar to the way humans process casual relations and fuzzy linguistic variables provide a natural way to deal with uncertainties. This paper...

In order to realize the online learning of a hybrid electric vehicle (HEV) control strategy, a fuzzy Q-learning (FQL) method is proposed in this paper. FQL control strategies consists of two parts: The optimal action-value function Q*(x,u) estimator network (QEN) and the fuzzy parameters tuning (FPT). A back propagation (BP) neural network is applied to estimate Q*(x,u) as QEN. For the fuzzy co...

Reinforced concrete beam; Shear strength; Artificial neural network; Adaptive neuro-fuzzy inference system; Iranian concrete institute code; American concrete institute code. Abstract In this paper, the Artificial Neural Network (ANN) and the Adaptive Neuro-Fuzzy Inference System (ANFIS) are used to predict the shear strength of Reinforced Concrete (RC) beams, and the models are compared with A...

The probability or likelihood of survival in trauma injuries is a clinically important parameter for triage, setting treatment priorities and research and management audit. The existing methods for determining it have short comings that necessitate further development. In this study, an artificial intelligence method called fuzzy inference system (FIS) for determining the likelihood of survival...

The research work presented in this paper proposes a data-driven modeling method for bearings remaining useful life estimation based on Takagi-Sugeno (T-S) fuzzy inference system (FIS). This allows identifying the parameters of classic T-S FIS, starting with small quantity data. In work, we used vibration signals data from number over an entire period run-to-failure. FIS model inputs are featur...

A great deal of interest has been shown in the literature in the development of new Non-Destructive Techniques (NDT). In particular, there is increasing interest in detecting, evaluating and locating cracks as well as the source of the impact causing these cracks. Fuzzy logic was shown to be useful in crack detection, and severity of crack in materials. In this paper Fuzzy logic has been used i...