Imbalanced dataset can cause obstacles to classification and result in a decrease performance. There are several methods that be used deal the data imbalances, such as based on SMOTE Generative Adversarial Networks (GAN). These for overcoming oversampling so amount of minority increase it reach balance with majority data. In this research, selected is classified small imbalanced less than 200 r...

Aggregating individuals’ data and computing statistics over a population are key ingredients to enable the Internet of Things [1]. Constructing traffic maps from individuals’ GPS traces [2] and performing demand response in smart grids [3], [4] are two examples that involve such data aggregation. Using these statistics, individuals can perform their activities more efficiently; they may choose ...

A new model of agent for acting in processes of diagnosis where more constraints are placed on the performance in real world domains is presented. Preferences on actions and policies are used to induce a preferred course of action by the diagnosis agent. Past experience, gathered from controlled trials, enables the experience agent to offer counterarguments for improving the diagnosis process. ...

− Reported here are some results obtained, from a calculus algorithm application that, based on known equation analytical solutions of water flow profiles, allows the study of steady-state, gradually varied flow in open channel networks. The procedure allows to calculate, in the case of slow water flow into gradually downward slope channels, in the direction of motion, the florates and water le...

In the simple random walk steps are independent, viz., walker has no memory. contrast, in elephant (ERW), which was introduced by Schütz and Trimper (2004), next step always depends on whole path so far. Various authors have studied further properties of ERW. Gut Stadtmüller (2021b) we case when Elephant remembers only a finite part first or last steps. both cases there separation into two diff...