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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...
Hypertensive retinopathy refers to a disease condition that damages the retinal vascularization in hypertensive patients, so that it lead to the blindness and death. It can affect the retina function because of a swelling in the retinal vascular to be. Usually, this condition is identified manually by ophthalmologist through the fundoscopy examination using ophthalmoscope. Therefore, a method for...
One of the mostly used commodities in investment is gold. However, gold price tends to have fluctuation. This paper proposed an Evolving Multi-Layer Perceptron (eMLP) to forecast accurately the gold price by considering its daily fluctuate price and utilizing information from a big data of actual dataset. The proposed eMLP algorithm combines the concept of evolving connectionist system and multi-layer...
Backpropagation and Direction Feature Extraction (DFE) are proposed in this paper for Chinese chess character recognition. Backpropagation is a feed-forward neural network algorithm designed for learning by examples namely by calculating errors and updating weights in each epoch. DFE is a feature extraction method by iterating and calculating the directons surrounding each pixel in the image to obtain...
Skin color segmentation has proven to be useful in various application, such as face detection, hand gesture analysis, image content filtering, etc. There are some challenges on skin-color detection, such as wide variety of illumination condition and skin-like color objects appear in the background of image. Therefore, a method is required to cope with illumination condition while detecting skin color...
This research aims to develop a system which can help radiologists to identify the symptoms of breast cancer, using Evolving Connectionist Systems (ECoS). Breast cancer identification is done by using Breast Imaging Reporting and Database System as a standard system. In this study, medical images will be enhanced by using computer image processing techniques. Then, the enhanced image will be classified,...
Lake Toba serves as an important tourism attraction in Indonesia, especially in the region of North Sumatera province. As tourism in Lake Toba develops, the possibility of environmental issues in Lake Toba, mainly water quality, is also increased. This condition increases necessity for a system that can monitor environment condition, especially water quality in Lake Toba. In this paper, we propose...
In this research, a file undelete method is proposed by which the file recovery system retrieved the file metadata through a parsing process from the master file table (MFT) attributes. Using the Aho-Corasick algorithm, the process is then continued with a filtering process in which keywords are matched with file names. The result obtained shows that the proposed method is able to perform recovery...
A Distributed Autonomous Neuro-Gen Learning Engine (DANGLE) is proposed in this paper for file type identification. DANGLE is a machine learning tool designed to solve limitations of existing implementation of neural networks, namely excessive training time, fixed architecture and catastrophic forgetting. DANGLE consists of a Gene Regulatory Engine (GRE) and a Distributed Adaptive Neural Network (DANN)...
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