Implementation of Deep Learning Algorithm with Perceptron using TenzorFlow Library

Begum, A. Sumaiya; Fatima, Farheen; Sabahath, Asfia

doi:10.1109/iccsp.2019.8697910

Cited by 16 publications

(5 citation statements)

References 6 publications

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“…This section presents characterization process and results of the proposed synthesis method, including the proposed reduction process of GO and the nanostructure of as-Scheme 2 The learning model of the ANN. 39 Reproduced with permission from IEEE. SEM was next used to analyze the morphology of MOF nanosheets (NSs) and rGO, revealing the leaf-like structure of rGO as shown in Fig.…”

Section: Characterization Of the Prepared Monometallic Mof Nanosheetsmentioning

confidence: 99%

Sensitive rGO/MOF based electrochemical sensor for penta-chlorophenol detection: a novel artificial neural network (ANN) application

Meskher

Achi

et al. 2022

Sens. Diagn.

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Section: Characterization Of the Prepared Monometallic Mof Nanosheetsmentioning

confidence: 99%

Sensitive rGO/MOF based electrochemical sensor for penta-chlorophenol detection: a novel artificial neural network (ANN) application

Meskher

Achi

et al. 2022

Sens. Diagn.

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“…8, PCP was added to the phosphate buffer-based solution (PBS) where PCP was detected by an electrochemical cell followed by cyclic voltammetry and square voltagrams for quantification (Meskher et al 2022a, b). For accurate quantification and to estimate the very low concentration of PCP, a novel method called ANN application was used (Begum et al 2019).…”

Section: Electrochemical Sensormentioning

confidence: 99%

Comparative examination of analytical instruments for detecting pentachlorophenol in wood and environmental samples

Koushika,

He,

Niati

et al. 2024

J Anal Sci Technol

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Pentachlorophenol (PCP) is a manmade chemical that is widely present in the environment and is mostly used as a wood preservative. Therefore, to conduct remediation studies, it is imperative to determine the most effective PCP analytical technique. PCP can be analyzed using a variety of analytical tools, including non-destructible methods like X-ray fluorescence spectrometry (XRF) and electrochemical sensors (EC), destructible tools like gas chromatography (GC), thin layer chromatography (TLC), colorimetry, ultraviolet–visible and infrared spectroscopy (UV–vis/IR), and high-performance liquid chromatography (HPLC). the colorimetric approach is less recommended because of its low sensitivity and precision, whereas TLC offers superior recovery rates and precision but is expensive, takes longer, and is unable to resolve complicated combinations. Higher recovery rates, sensitivity, precision, and superior separation are all offered by HPLC; however, its effectiveness is impacted by time, money, and solvent compatibility. The most favored destructible approach is GC because it is efficient in terms of both cost and time and offers superior precision and separation. Although XRF is frequently used in the wood industry to test PCP in treated wood and treating solutions, scientific research has avoided using it because of its high cost and ability to identify chemicals based only on their elemental composition—in the case of PCP, it is chloride. Among all methods, EC is shown to be more dependable than the other methods listed because it is extremely specialized, less expensive, and offers a faster response. It is possible to make more changes to the current analytical techniques, such as enhancing extraction techniques, creating a universal HPLC column, developing more affordable and high-precision EC electrodes, and evaluating a larger variety of samples from different matrices. This review has shed light on the many analytical tools available for determining PCP and the knowledge gaps in the field of study.

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“…Hasilnya diteruskan melalui fungsi aktivasi (biasanya berupa fungsi identitas pada regresi atau fungsi sigmoid pada masalah klasifikasi) untuk menghasilkan prediksi akhir (Perotta, 2020 Walaupun algoritma perceptron merupakan teknik yang sederhana tetapi sangat efektif untuk menyelesaikan berbagai masalah terkait regresi atau klasifikasi. Lebih lanjut terkait penggunaan algoritma perceptron saat ini dapat dibaca pada artikel-artikel (Begum, 2019;Tang, 2015, Zhu, 2014.…”

Section: Kajian Pustakaunclassified

Penerapan Algoritma Pembelajaran Perceptron Untuk Prediksi Suhu Efektif Sasaran Dalam Kandang Ayam Broiler Tertutup

KRISTIANA,

HARTONO,

DWIATMOKO

2023

MTK

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Broiler chickens are broiler breeds that have a relatively fast growth of about 4-5 weeks. The growth of broiler chickens is influenced by several aspects, one of which is cage management. In cage management there is a target effective temperature which is one of factors that support the growth of broiler chickens. The target effective temperature for growing comes from measured temperature combined with air humidity and measured wind speed. In this article, we will discuss how the perceptron algorithm can predict the target effective temperature in the broiler chicken closed house cage systems. The goal is to find a network model that can predict target effective temperatures with high accuracy based on variable measurements. Furthermore, the result of network model will be used to regulate the conditions of the coop according to the needs of the comfort of chickens. Based on the results of this study, the perceptron algorithm with a single layer provides a good network model of target effective temperature to regulate cage conditions.

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Implementation of Deep Learning Algorithm with Perceptron using TenzorFlow Library

Cited by 16 publications

References 6 publications

Sensitive rGO/MOF based electrochemical sensor for penta-chlorophenol detection: a novel artificial neural network (ANN) application

Sensitive rGO/MOF based electrochemical sensor for penta-chlorophenol detection: a novel artificial neural network (ANN) application

Comparative examination of analytical instruments for detecting pentachlorophenol in wood and environmental samples

Penerapan Algoritma Pembelajaran Perceptron Untuk Prediksi Suhu Efektif Sasaran Dalam Kandang Ayam Broiler Tertutup

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