Abstract The current study proposes a smart decision-making algorithm to be utilized in electric vehicle stations. suggested approach emphasizes the prediction of queuing delay seeking for minimum total charging time. For this purpose, artificial neural network (ANN) model is used, where dataset pre-generated seeded into model. proposed effectiveness can proven when number arriving vehicles at ...

The level of dependence on data communication in the modern era is increasing exponentially. internet things (IoT) plays a very important role advancement industrial revolution 4.0 that utilizes systems. IoT deployments require protocols, such as hypertext transfer protocol (HTTP), and message queuing telemetry transport (MQTT) well network protocols (wireless) to meet needs devices with limite...

background:accumulative research is in progress to clarify clinical aspects of gbv-c. the possibility of interaction between hcv and gbv-c as well as its consequence on development of liver diseases is the most important clinical aspect which encourages researchers to develop a rapid and cost effective technique for simultaneous detection of both viruses.methods: in this study, a sybr green rea...

E-learning model is examined of three major dimensions. And each dimension has a range of indicators that is effective in optimization and modeling, in many optimization problems in the modeling, target function or constraints may change over time that as a result optimization of these problems can also be changed. If any of these undetermined events be considered in the optimization process, t...