PREDICTION MODEL FOR SUICIDE BASED ON BACK PROPAGATION NEURAL NETWORK AND MULTILAYER PERCEPTRON


PENGARUH KONSENTRASI PENAMBAHAN TEPUNG TEMPE TERHADAP KARAKTERISTIK TORTILLA LABU KUNING (The Effect of Tempe Flour Addition Concentration on Pumpkin Tortilla Characteristics)

The objective of this research was to FOLDING RAZOR observe the physical and chemical characteristics of pumpkin tortilla with tempe flour addition.The experiment was designed using non Factorial Randomized Design with six treatments and each treatment was replicated three times.The treatments were 5%, 10%, 15%, 20%, 25% and 30% addition of tempe f

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Development of a Machine Learning-Based Cysticidal Assay and Identification of an Amebicidal and Cysticidal Marine Microbial Metabolite against Acanthamoeba

ABSTRACT Traditional cysticidal assays for Acanthamoeba species revolve around treating cysts with compounds and manually observing the culture for evidence of excystation.This method is time-consuming, labor-intensive, and low throughput.We adapted and trained a YOLOv3 machine learning, object detection neural network to recognize Acanthamoeba cas

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Income as a wore general optimization criterion as regards availability and replacement costs in determining the optimal period of preventive replacement

This paper discusses a procedure for determining the optimal period of preventive replacement of elements with increasing failure rate when the criterion is income per operating time unit.It is shown that income per operating time unit and its complementary value of the sum of losses due to system dwell and replacement costs represent more general

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