PREDICTION OF THE COMPRESSIVE STRENGTH OF ENVIRONMENTALLY FRIENDLY CONCRETE USING ARTIFICIAL NEURAL NETWORK [PDF]
Applied Computer Science, 2022 The paper evaluated the possibility of using artificial neural network models for predicting the compressive strength (Fc) of concretes with the addition of recycled concrete aggregate (RCA).
Monika KULISZ +4 more
doaj +1 more source
A REVIEW OF CONVOLUTIONAL NEURAL NETWORK IN EMERGING TRENDS AND OPPORTUNITIES IN PRECISION AGRICULTURE [PDF]
Acta Informatica Malaysia, 2023 Agriculture has always been integral to life’s existence as it directly depends on food production. Precision farming has emerged due to soft computing and information technology development trends.
Amit Hasan Sadhin, Reshad Rayhan
doaj +1 more source
Zoning of landslide-prone areas using neuro-fuzzy inference system (ANFIS) (Case Study: Songhurchay River Basin) [PDF]
مخاطرات محیط طبیعی, 2018 In this study, Neural Fuzzy Inference System (ANFIS) was used in landslide zoning in the Songhur Chai River Basin. In order to assess the neural network, 124 occurred landslide data identified from aerial photographs, satellite imagery, and field ...
Mehdi Feyzolahpour Feyzolahpour
doaj +1 more source
APPLICATION OF MACHINE LEARNING FOR RECOGNIZING SURFACE WELDING DEFECTS IN VIDEO SEQUENCES
Scientific Journal of Astana IT University, 2023 The paper offers a solution to the problem of detecting and recognizing surface defects in welded joints that appear during tungsten inert gas welding of metal edges. This problem belongs to the machine vision. Welding of stainless-steel edges is carried
Mariya Yemelyanova, Saule Smailova
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Chemical structure and antifungal activity of mint essential oil components [PDF]
Journal of the Serbian Chemical Society, 2020 The objective of this research was to determine chemical composition and to evaluate the antifungal activity of essential oil of Mentha piperita. By the application of GC/MS analysis of essential mint oil, 27 components were identified.
Plavšić Dragana V. +7 more
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An Artificial Intelligence Approach for Tunnel Construction Performance [PDF]
Journal of Soft Computing in Civil Engineering, 2023 As massive tunneling projects become more and more popular, predicting the performance of Tunnel Boring Machine (TBM) has been a problem that arose recently.
Soo Eng +3 more
doaj +1 more source
An Integrative Remote Sensing Application of Stacked Autoencoder for Atmospheric Correction and Cyanobacteria Estimation Using Hyperspectral Imagery [PDF]
, 2020 Hyperspectral image sensing can be used to effectively detect the distribution of harmful cyanobacteria. To accomplish this, physical- and/or model-based simulations have been conducted to perform an atmospheric correction (AC) and an estimation of ...
Baek, Sangsoo +10 more
core +1 more source
The Implementation of GLCM and ANN Methods to Identify Dragon Fruit Maturity Level
Ilkom Jurnal Ilmiah, 2023 The identification of the maturity level of dragon fruit in this study was divided into two groups of ripeness: the unripe and the ripe. This study aims to classify the maturity level based on dragon fruit images using the feature extraction method, the ...
Muhammad Faisal +2 more
doaj +1 more source
Open Chemistry, 2021 Five various chemometric methods were established for the simultaneous determination of azilsartan medoxomil (AZM) and chlorthalidone in the presence of azilsartan which is the core impurity of AZM.
Darwish Hany W. +5 more
doaj +1 more source
Ilkom Jurnal Ilmiah, 2022 Identifying a writing is an easy thing to do for human, but this does not apply to computers, in particular if it is handwriting. Handwriting recognition, especially cursive handwriting is a research in the area of image processing and pattern matching ...
Fitrianingsih Fitrianingsih +4 more
doaj +1 more source