Browse Items (21 total)
Sort by:
Weld Defect Detection and Classification based on Deep Learning Method: A Review
The inspection of weld defects utilizing nondestructive testing techniques based on radiography is essential for ensuring the operability and safety of weld joints in metals or other materials. During the process of welding, weld defects such as…
Myers-Briggs Type Indicator Personality Model Classification in English Text using Convolutional Neural Network Method
Myers-Briggs Type Indicator (MBTI) is a personality model developed by Katharine Cooks Briggs and Isabel Briggs Myers in 1940. It displays a combination of preferences from four domains. Generally, test takers need to answer about 50 to 70 questions,…
Brain Tumors Detection By Using Convolutional Neural Networks and Selection of Thresholds By Histogram Selection
Brain tumors in medical images have a high diversity in terms of shape and size. Some of the data found a form between the tumor tissue and normal tissue, whereas knowing the tumor’s profile and characteristics becomes a crucial part of searching. By…
Pleural Effusion Classification Based on Chest X-Ray Images using Convolutional Neural Network
Pleural effusion is an abnormal lung condition characterized by a buildup of fluid between the two layers of the pleura, which causes specific symptoms such as chest pain and shortness of breath. In Indonesia, pleural effusion cases alone account for…
TELKOMNIKA Telecommunication Computing Electronics and Control
One-shot learning Batak Toba character recognition using siamese neural network
Siamese neural network (SINN) is an image processing model that compares
the scores of two patterns. The SINN algorithm is a combination of the use
of the double convolutional neural network (CNN) algorithm. By combined
SINN with a one-shot…
the scores of two patterns. The SINN algorithm is a combination of the use
of the double convolutional neural network (CNN) algorithm. By combined
SINN with a one-shot…
TELKOMNIKA Telecommunication Computing Electronics and Control
Ensemble learning approach for multi-class classification of Alzheimer’s stages using magnetic resonance imaging
Alzheimer’s disease (AD) is a gradually progressing neurodegenerative
irreversible disorder. Mild cognitive impairment convertible (MCIc) is the
clinical forerunner of AD. Precise diagnosis of MCIc is essential for
effective treatments to reduce…
irreversible disorder. Mild cognitive impairment convertible (MCIc) is the
clinical forerunner of AD. Precise diagnosis of MCIc is essential for
effective treatments to reduce…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
LPCNN: convolutional neural network for link prediction based on network structured features
In a social network (SN), link prediction (LP) is the process of estimating
whether a link will exist in the future. In prior LP papers, heuristics score
techniques were used. Recent state-of-the-art studies, like Wesfeiler-Lehman neural machine…
whether a link will exist in the future. In prior LP papers, heuristics score
techniques were used. Recent state-of-the-art studies, like Wesfeiler-Lehman neural machine…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Static-gesture word recognition in Bangla sign language using convolutional neural network
Sign language is the communication process of people with hearing
impairments. For hearing-impaired communication in Bangladesh and parts of India, Bangla sign language (BSL) is the standard. While Bangla is one of the most widely spoken languages…
impairments. For hearing-impaired communication in Bangladesh and parts of India, Bangla sign language (BSL) is the standard. While Bangla is one of the most widely spoken languages…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Towards more accurate and efficient human iris recognition model using deep learning technology
In this study, an end-to-end human iris recognition system is presented to automatically identify individuals for high level of security purposes.
The deep learning technology based new 2D convolutional neural network (CNN) model is introduced for…
The deep learning technology based new 2D convolutional neural network (CNN) model is introduced for…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Detection of image manipulation with convolutional neural network and local feature descriptors
In recent times, numerous digital image manipulation detection approaches have been proposed to detect which processing operations were applied to manipulate digital images. Most of these approaches consider the situation in which an image is…