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Hang Yu, Jiulu Gong and Derong Chen
Detecting small objects and objects with large scale variants are always challenging for deep learning based object detection approaches. Many efforts have been made to solve these problems such as adopting more effective network structures, image featur...
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Hadi Ismanto 10.21831/economia.v12i2.11340
Pág. 159 - 166
Abstract: Analysis of Financial Performance on UMKM Tenun Ikat Troso Jepara. Indonesian Small and Medium-Sized-Enterprises give a contribution to GDP of 7% of total GDP in 2012. One factor to improve financial performance is to applicate some perspective...
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Warawut Narkbunnum and Kittipol Wisaeng
Depression is becoming one of the most prevalent mental disorders. This study looked at five different classification techniques to predict the risk of students? depression based on their socio-demographics, internet addiction, alcohol use disorder, and ...
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Yingze Song, Degang Yang, Weicheng Wu, Xin Zhang, Jie Zhou, Zhaoxu Tian, Chencan Wang and Yingxu Song
Landslide susceptibility assessment (LSA) based on machine learning methods has been widely used in landslide geological hazard management and research. However, the problem of sample imbalance in landslide susceptibility assessment, where landslide samp...
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Yali Gong, Huan Xie, Yanmin Jin and Xiaohua Tong
In recent years, the availability of multi-temporal global land-cover datasets has meant that they have become a key data source for evaluating land cover in many applications. Due to the high data volume of the multi-temporal land-cover datasets, probab...
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Yifan Liu, Weiliang Gao, Tingting Zhao, Zhiyong Wang and Zhihua Wang
The aim of this study is to enhance the efficiency and lower the expense of detecting cracks in large-scale concrete structures. A rapid crack detection method based on deep learning is proposed. A large number of artificial samples from existing concret...
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Novita Sari, Benny Rojeston Marnaek Nainggolan, Rosma Ariyanti Purba, Taruli Br Saragih, Wahy Banjarnahor
Pág. 219 - 223
The target of this inspection is to investigate the impact of Regional Capital Expenditures and Original Revenues and Balancing Funds on Financial Performance in North Sumatra Province. The technique used in this examination is by obtaining saturated sam...
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Alexandre M. de Carvalho and Ronaldo C. Prati
One of the significant challenges in machine learning is the classification of imbalanced data. In many situations, standard classifiers cannot learn how to distinguish minority class examples from the others. Since many real problems are unbalanced, thi...
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Jurgita Kapociute-Dzikiene, Robertas Dama?evicius and Marcin Wozniak
We describe the sentiment analysis experiments that were performed on the Lithuanian Internet comment dataset using traditional machine learning (Naïve Bayes Multinomial?NBM and Support Vector Machine?SVM) and deep learning (Long Short-Term Memory?LSTM a...
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Irvan TRANG
Pág. 87 - 100
The Balanced scorecard translates the company?s mission and strategies into a complete set of measurements which provide the framework for measurements and strategic management system. This study (research) aims at analyzing the simultaneous affects from...
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Antonio Maci, Alessandro Santorsola, Antonio Coscia and Andrea Iannacone
Web phishing is a form of cybercrime aimed at tricking people into visiting malicious URLs to exfiltrate sensitive data. Since the structure of a malicious URL evolves over time, phishing detection mechanisms that can adapt to such variations are paramou...
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Amani Alqarni and Hamoud Aljamaan
Software defect prediction is an active research area. Researchers have proposed many approaches to overcome the imbalanced defect problem and build highly effective machine learning models that are not biased towards the majority class. Generative adver...
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Fei Yan, Hui Zhang, Yaogen Li, Yongjia Yang and Yinping Liu
Raw image classification datasets generally maintain a long-tailed distribution in the real world. Standard classification algorithms face a substantial issue because many labels only relate to a few categories. The model learning processes will tend tow...
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Perdana Wahyu Santosa,Sovi Ismawati Rahayu,Zainal Zawir Simon,Martua Eliakim Tambunan
Pág. in press
This paper aims to offer new evidence as to how sub-related party transactions (RPTs) can be related to corporate governance for Indonesia's business group. We address an ongoing theoretical tension and some recent research in the RPTs literatu...
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Mohammad Reza Askari, Mahmoud Abdel-Latif, Mudassir Rashid, Mert Sevil and Ali Cinar
Detection and classification of acute psychological stress (APS) and physical activity (PA) in daily lives of people with chronic diseases can provide precision medicine for the treatment of chronic conditions such as diabetes. This study investigates th...
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Zafar Mahmood, Naveed Anwer Butt, Ghani Ur Rehman, Muhammad Zubair, Muhammad Aslam, Afzal Badshah and Syeda Fizzah Jilani
The classification of imbalanced and overlapping data has provided customary insight over the last decade, as most real-world applications comprise multiple classes with an imbalanced distribution of samples. Samples from different classes overlap near c...
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Gopal Nath, Yawei Wang, Austin Coursey, Krishna K. Saha, Srikanth Prabhu and Saptarshi Sengupta
Productivity losses caused by absenteeism at work cost U.S. employers billions of dollars each year. In addition, employers typically spend a considerable amount of time managing employees who perform poorly. By using predictive analytics and machine lea...
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Moussa Diallo, Shengwu Xiong, Eshete Derb Emiru, Awet Fesseha, Aminu Onimisi Abdulsalami and Mohamed Abd Elaziz
Classification algorithms have shown exceptional prediction results in the supervised learning area. These classification algorithms are not always efficient when it comes to real-life datasets due to class distributions. As a result, datasets for real-l...
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Roberta Fusco, Adele Piccirillo, Mario Sansone, Vincenza Granata, Paolo Vallone, Maria Luisa Barretta, Teresa Petrosino, Claudio Siani, Raimondo Di Giacomo, Maurizio Di Bonito, Gerardo Botti and Antonella Petrillo
Purpose: The aim of the study was to estimate the diagnostic accuracy of textural, morphological and dynamic features, extracted by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) images, by carrying out univariate and multivariate statist...
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Khishigsuren Davagdorj, Jong Seol Lee, Van Huy Pham and Keun Ho Ryu
Smoking is one of the major public health issues, which has a significant impact on premature death. In recent years, numerous decision support systems have been developed to deal with smoking cessation based on machine learning methods. However, the ine...
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