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Tarek Eldomiaty, Islam Azzam, Mostafa Fouad and Yasmeen Said
The progress of financial markets depends on the way world investors foresee the market potential of the country of choice. Countries that are associated with favorable economic incentives are able to motivate investments in their respective stock market...
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Soo-jin Jung and Eric Yee
Due to a heightened interest in the field of earthquakes after two moderately sized earthquakes occurred in Gyeongju and Pohang, this study explores which ground motion prediction equations are compatible for the South Korea region. Due to data availabil...
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George Papageorgiou, Vangelis Sarlis and Christos Tjortjis
This study utilized advanced data mining and machine learning to examine player injuries in the National Basketball Association (NBA) from 2000?01 to 2022?23. By analyzing a dataset of 2296 players, including sociodemographics, injury records, and financ...
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Coskun Tarkocin, Murat Donduran
Pág. 63 - 73
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Rana Raihana Aksara, Rita Martini, Firmansyah Firmansyah, Sukmini Hartati
Pág. 125 - 136
Analisis potensi kesulitan keuangan dalam industri penerbangan yang terdaftar di Bursa Efek Indonesia dengan menggunakan model Altman (Z-Score), model Springate (S-Score), model Zmijewski (X-Score), dan Model Grover (G-Score) ditujukan untuk menentukan p...
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Surasit Songma, Theera Sathuphan and Thanakorn Pamutha
This article examines intrusion detection systems in depth using the CSE-CIC-IDS-2018 dataset. The investigation is divided into three stages: to begin, data cleaning, exploratory data analysis, and data normalization procedures (min-max and Z-score) are...
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Wojciech M. Glinkowski, Agnieszka Zukowska and Bozena Glinkowska
Quantitative research of bone tissue related to physical activity (PA) and sport has a preventive dimension. Increasing the parameters of bone tissue strength, especially reaching the maximum value of peak bone strength in childhood, adolescence, and ear...
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Ruiqing Wang, Jinlei Feng, Wu Zhang, Bo Liu, Tao Wang, Chenlu Zhang, Shaoxiang Xu, Lifu Zhang, Guanpeng Zuo, Yixi Lv, Zhe Zheng, Yu Hong and Xiuqi Wang
This paper proposes a data anomaly detection and correction algorithm for the tea plantation IoT system based on deep learning, aiming at the multi-cause and multi-feature characteristics of abnormal data. The algorithm is based on the Z-score standardiz...
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Fedri Ruluwedrata Rinawan, Afina Faza, Ari Indra Susanti, Wanda Gusdya Purnama, Noormarina Indraswari, Didah, Dani Ferdian, Siti Nur Fatimah, Ayi Purbasari, Arief Zulianto, Atriany Nilam Sari, Intan Nurma Yulita, Muhammad Fiqri Abdi Rabbi and Riki Ridwana
Posyandu is an Indonesian mother-child health, community-based healthcare. The provision of the Posyandu data quality map is crucial for analyzing results but is limited. This research aimed to (a) demonstrate data quality analysis on its completeness, a...
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Afina Faza, Fedri Ruluwedrata Rinawan, Kuswandewi Mutyara, Wanda Gusdya Purnama, Dani Ferdian, Ari Indra Susanti, Didah Didah, Noormarina Indraswari and Siti Nur Fatimah
The community?s mother and child health (MCH) and nutrition problems can be overcome through evidence-based health policy. Posyandu is an implementation of community empowerment in health promotion strategies. The iPosyandu application (app) is one of th...
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