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Abdelali Belkhou,Abdelouahed Achmamad,Atman Jbari
Pág. 336 - 342
Electromyography (EMG) is the study of the electrical activity of the muscle. This technique is often used in the diagnosis of neuromuscular diseases. Myopathy is one of these cases, which affect the muscle and causes many changes in the electromyography...
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Andi Nur Rachman,Supratman Supratman,Euis Nur Fitriani Dewi
Pág. 315 - 324
Penyakit Diabetes Mellitus merupakan penyakit tidak menular, tetapi penyakit ini merupakan salah satu penyakit yang mematikan bagi yang mengidapnya. Penyakit ini disebabkan oleh beberapa factor diantaranya pola makan hidup yang tidak teratur atau b...
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Andi Nur Rachman,Supratman Supratman,Euis Nur Fitriani Dewi
Pág. 315 - 324
Penyakit Diabetes Mellitus merupakan penyakit tidak menular, tetapi penyakit ini merupakan salah satu penyakit yang mematikan bagi yang mengidapnya. Penyakit ini disebabkan oleh beberapa factor diantaranya pola makan hidup yang tidak teratur atau b...
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Damar Dananjaya,Indah Werdiningsih,Rini Semiati
Pág. 13 - 22
Background: Data on early childhood disease collected in clinics has accumulated into big data. Those data can be used for classification of early childhood diseases to help medical staff in diagnosing diseases that attack early childhoods.Objective: Thi...
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Ardiyallah Akbar,Bambang siswojo,hadi Suyono
Pág. 93 - 97
Dalam industri fashion khususnya mutiara, proses klasifikasi mutiara dilakukan secara manual dengan pengamatan visual. Hal tersebut tentu akan memakan waktu yang lama dan menghasilkan produk dengan mutu yang salah karena keterbatasan visual dan kelelahan...
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Rozzi Kesuma Dinata
Pada penelitian ini diimplementasikan algoritma K-Nearest Neighbor dalam pengklasifikasian Sekolah Menengah Pertama/Sederajat berdasarkan peminatan calon siswa. Tujuan penelitian ini adalah untuk memudahkan pengguna dalam menemukan sekolah SMP/sederajat ...
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Cuixia Li, Shanshan Yang, Li Shi, Yue Liu and Yinghao Li
Existing end-to-end cloud registration methods are often inefficient and susceptible to noise. We propose an end-to-end point cloud registration network model, Point Transformer for Registration Network (PTRNet), that considers local and global features ...
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Fuyu Xu and Kate Beard
Measures of similarity or differences between data objects are applied frequently in geography, biology, computer science, linguistics, logic, business analytics, and statistics, among other fields. This work focuses on event sequence similarity among ev...
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Neneng Nur Amalina, Kurniawan Nur Ramadhani, Febryanti Sthevanie
Pág. 1 - 13
Tumors contain a high degree of cellular heterogeneity. Various type of cells infiltrate the organs rapidly due to uncontrollable cell division and the evolution of those cells. The heterogeneous cell type and its quantity in infiltrated organs determine...
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Hafzullah Is and Taner Tuncer
This article considers methodological approaches to determine and prevent social media manipulation specific to Twitter. Behavioral analyses of Twitter users were performed by using their profile structures and interaction types, and Twitter users were c...
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Myoung-Su Choi, Dong-Hun Han, Jun-Woo Choi and Min-Soo Kang
Sleep apnea has emerged as a significant health issue in modern society, with self-diagnosis and effective management becoming increasingly important. Among the most renowned methods for self-diagnosis, the STOP-BANG questionnaire is widely recognized as...
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Jogeswar Tripathy, Rasmita Dash, Binod Kumar Pattanayak, Sambit Kumar Mishra, Tapas Kumar Mishra and Deepak Puthal
In high-dimensional data analysis, Feature Selection (FS) is one of the most fundamental issues in machine learning and requires the attention of researchers. These datasets are characterized by huge space due to a high number of features, out of which o...
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Mateus F. T. Carvalho, Sergio A. Silva, Jr., Carla Cristina O. Bernardo, Franklin César Flores, Juliana Vanessa C. M. Perles, Jacqueline Nelisis Zanoni and Yandre M. G. Costa
Recent studies have been evaluating the presence of patterns associated with the occurrence of cancer in different types of tissue present in the individual affected by the disease. In this article, we describe preliminary results for the automatic detec...
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Faisal Dharma Adhinata,Diovianto Putra Rakhmadani,Danur Wijayanto
Pág. 22 - 30
Background: The COVID-19 pandemic has made people spend more time on online meetings more than ever. The prolonged time looking at the monitor may cause fatigue, which can subsequently impact the mental and physical health. A fatigue detection system is ...
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Faisal Dharma Adhinata,Diovianto Putra Rakhmadani,Danur Wijayanto
Pág. 22 - 30
Background: The COVID-19 pandemic has made people spend more time on online meetings more than ever. The prolonged time looking at the monitor may cause fatigue, which can subsequently impact the mental and physical health. A fatigue detection system is ...
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Md Arafat Habib, Cheol Hong Kim and Jong-Myon Kim
This study aims at characterizing crack types for reinforced concrete beams through the use of acoustic emission burst (AEB) features. The study includes developing a solid crack assessment indicator (CAI) accompanied by a crack detection method using th...
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Yeong-Cherng Hsu, Chih-Hsin Hsueh and Ja-Ling Wu
With the growing popularity of cloud computing, it is convenient for data owners to outsource their data to a cloud server. By utilizing the massive storage and computational resources in cloud, data owners can also provide a platform for users to make q...
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Rania Alhalaseh and Suzan Alasasfeh
Many scientific studies have been concerned with building an automatic system to recognize emotions, and building such systems usually relies on brain signals. These studies have shown that brain signals can be used to classify many emotional states. Thi...
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