Optimization of Applied Detection Rate in the Simple Evolving Connectionist System Method for Classification of Images Containing Protein

Syah, Rahmad; Al-Khowarizmi, Al-Khowarizmi

doi:10.26555/jiteki.v7i1.20508

Cited by 4 publications

(2 citation statements)

References 22 publications

(24 reference statements)

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“…In Figure 1 is a neural network by applying the ECoS principle. The neural network consists of 3 layers [30], [31]. The first layer is the input layer, the second layer is the hidden layer or it can be said as the evolving layer, and the third layer is the output layer [32].…”

Section: Forecasting With Evolving Connectionist Systemmentioning

confidence: 99%

FinTech forecasting using an evolving connectionist system for lenders and borrowers: ecosystem behavior

Al-Khowarizmi,

Watts,

Efendi

et al. 2024

IJ-AI

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<span lang="EN-US">Financial Technology (FinTech) which is included in the development of digitalization in the financial sector in the industrial era 4.0. Fintech can make any transactions anywhere with the pillars of Peet-to-Peer (P2P) lending, merchants and crowdfunding. In the P2P Lending pillar, there are borrowers and lenders who are digitized in Fintech devices. Fintech in Indonesia is controlled by a state agency called the Otoritas Jasa Keuangan or Financial Services Authority (OJK). In the movement of P2P Lending, there are borrowers and lenders who can be said to be investors where these activities are reported to the OJK. This data can be forecasted using a neural network approach such as ECoS, which is a method capable of forecasting with learning that develops in the hidden layer. In this research article, we present results on forecasting borrowers with a Mean Absolute Percentage Error (MAPE) of 0.148% and forecasting lenders with an accuracy measurement with MAPE of 0.209% with a learning rate 1 = 0.6 and a learning rate 2 = 0.3. So, this forecasting model can be said as an optimization in FinTech activities on the behavior of borrowers and lenders.</span>

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Section: Forecasting With Evolving Connectionist Systemmentioning

confidence: 99%

FinTech forecasting using an evolving connectionist system for lenders and borrowers: ecosystem behavior

Al-Khowarizmi,

Watts,

Efendi

et al. 2024

IJ-AI

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“…Image processing is a technique for analyzing data in the form of images that can be processed according to needs and provide accurate information for humans to receive [10][11] [12]. Where the image processing process forms the function and intensity of light with representation in 2 dimensions and 3 dimensions [13]. From various images have the characteristics of information that is extracted into knowledge [14].…”

Section: Introductionmentioning

confidence: 99%

The Role of Faster R-CNN Algorithm in the Internet of Things to Detect Mask Wearing: The Endemic Preparations

2023

International Journal of Electronics and Telecommunications

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Faster R-CNN is an algorithm development that continuously starts from CNN then R-CNN and Faster R-CNN. The development of the algorithm is needed to test whether the heuristic algorithm has optimal provisions. Broadly speaking, faster R-CNN is included in algorithms that are able to solve neural network and machine learning problems to detect a moving object. One of the moving objects in the current phenomenon is the use of masks. Where various countries in the world have issued endemic orations after the Covid 19 pandemic occurred. Detection tool has been prepared that has been tested at the mandatory mask door, namely for mask users. In this paper, the role of the Faster R-CNN algorithm has been carried out to detect masks poured on Internet of Thinks (IoT) devices to automatically open doors for standard mask users. From the results received that testing on the detection of moving mask objects when used reaches 100% optimal at a distance of 0.5 to 1 meter and 95% at a distance of 1.5 to 2 meters so that the process of sending detection signals to IoT devices can be carried out at a distance of 1 meter at the position mask users to automatic doors.

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Convolutional Neural Network (CNN) of Resnet-50 with Inceptionv3 Architecture in Classification on X-Ray Image

Muhathir,

Dwi Ryandra,

Syah

et al. 2023

Artificial Intelligence Application in Networks and Systems

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Optimization of Applied Detection Rate in the Simple Evolving Connectionist System Method for Classification of Images Containing Protein

Cited by 4 publications

References 22 publications

FinTech forecasting using an evolving connectionist system for lenders and borrowers: ecosystem behavior

FinTech forecasting using an evolving connectionist system for lenders and borrowers: ecosystem behavior

The Role of Faster R-CNN Algorithm in the Internet of Things to Detect Mask Wearing: The Endemic Preparations

Convolutional Neural Network (CNN) of Resnet-50 with Inceptionv3 Architecture in Classification on X-Ray Image

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