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27.949  Articles
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Load shedding plays a key part in the avoidance of the power system outage. The frequency and voltage fluidity lead to spread of a power system into sub-systems and lead to the outage as well as the severe breakdown of the system utility.  in recent ... see more

Load shedding plays a key part in the avoidance of the power system outage. The frequency and voltage fluidity lead to spread of a power system into sub-systems and lead to the outage as well as the severe breakdown of the system utility.  in recent ... see more

In this paper, a suggested algorithm was proposed to increase the efficiency of the Elman neural algorithm in face recognition. The proposed algorithm was studied on the images of 20 students from the Department of Computer Science, Tikrit University. Fir... see more

PT Simba Indosnack Makmur is a factory that produces snacks. In the production process the machine has worked very optimally, the problem that is often faced by the Quality Control department is often finding non-standard product weights. This problem is ... see more

In this paper, we present a learning algorithm for the Elman Recurrent Neural Network (ERNN) based on Biogeography-Based Optimization (BBO). The proposed algorithm computes the weights, initials inputs of the context units and self-feedback coefficient of... see more

Purpose: The COVID-19 case that infected humans was first discovered in China at the end of 2019. Since then, COVID-19 has spread to almost all countries in the world. To overcome this problem, it takes a quick effort to identify humans infected with COVI... see more

Backpropagation Neural Netwrok (BPNN) adalah Neural Network (NN) yang tidak memiliki loop, sedangkan Recurrent Neural Network (RNN) adalah NN yang memiliki minimal satu feedback loop. Dalam penelitian ini dilakukan peramalan penjualan semen di PT Semen In... see more

Comparative studies of different forecasting techniques can facilitate the selection of the best time series model for forecasting future expectations. In the present study, we address this problem by comparing the forecasting performance of the SARIMA mo... see more

In this study a functional models of Artificial Neural Networks (ANNs) is proposed toaid existing diagnosis methods. ANNs are currently a “hot” research area in medicine,particularly in the fields of radiology, cardiology, and oncology. In this paper an a... see more

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