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Muhammad Faisal Amin,Romi Satria Wahono
Pág. 9 - 14
Tahap deteksi plat nomor merupakan langkah yang paling penting dan sulit dalam sistem identifikasi plat nomor. Kondisi plat nomor yang memiliki warna background yang mirip dengan warna mobil, dan memiliki variasi yang besar dalam bentuk dan ukuran,...
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Syed Safdar Hussain and Syed Sajjad Haider Zaidi
This study introduces a novel predictive methodology for diagnosing and predicting gear problems in DC motors. Leveraging AdaBoost with weak classifiers and regressors, the diagnostic aspect categorizes the machine?s current operational state by analyzin...
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Md. Abu Jafor, Md. Anwar Hussen Wadud, Kamruddin Nur, Mohammad Motiur Rahman
Pág. 258 - 266
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Qaisar Abbas, Talal Saad Albalawi, Ganeshkumar Perumal and M. Emre Celebi
In recent years, advances in deep learning (DL) techniques for video analysis have developed to solve the problem of real-time processing. Automated face recognition in the runtime environment has become necessary in video surveillance systems for urban ...
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Achmad Bisri,Romi Satria Wahono
Pág. 27 - 32
Universitas Pamulang salah satu perguruan tinggi yang memiliki jumlah mahasiswa yang besar, namun dalam data histori terdapat masalah dengan jumlah kelulusan yang tepat waktu dan terlambat (tidak tepat waktu ) yang tidak seimbang. Metode decision tree me...
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Fernando Merchán, Sebastián Galeano, Héctor Poveda (Autor/a)
Pág. 17 - 30
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Xin Wang, Deyou Liu, Ling Zhou and Chao Li
The performance of wind turbines directly determines the profitability of wind farms. However, the complex environmental conditions and influences of various uncertain factors make it difficult to accurately assess and monitor the actual power generation...
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Jingyun Gui, Ignacio Pérez-Rey, Miao Yao, Fasuo Zhao and Wei Chen
Spatial landslide susceptibility assessment is a fundamental part of landslide risk management and land-use planning. The main objective of this study is to apply the Credal Decision Tree (CDT), adaptive boosting Credal Decision Tree (AdaCDT), and random...
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Panagiotis G. Asteris, Fariz Iskandar Mohd Rizal, Mohammadreza Koopialipoor, Panayiotis C. Roussis, Maria Ferentinou, Danial Jahed Armaghani and Behrouz Gordan
Slope stability analysis allows engineers to pinpoint risky areas, study trigger mechanisms for slope failures, and design slopes with optimal safety and reliability. Before the widespread usage of computers, slope stability analysis was conducted throug...
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Mahmood Ahmad, Pawel Kaminski, Piotr Olczak, Muhammad Alam, Muhammad Junaid Iqbal, Feezan Ahmad, Sasui Sasui and Beenish Jehan Khan
Supervised machine learning and its algorithms are a developing trend in the prediction of rockfill material (RFM) mechanical properties. This study investigates supervised learning algorithms?support vector machine (SVM), random forest (RF), AdaBoost, a...
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Amgad Muneer and Suliman Mohamed Fati
The advent of social media, particularly Twitter, raises many issues due to a misunderstanding regarding the concept of freedom of speech. One of these issues is cyberbullying, which is a critical global issue that affects both individual victims and soc...
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Lu Han, Chongchong Yu, Cuiling Liu, Yong Qin and Shijie Cui
The proposed model of this paper is for the fault diagnosis of rolling bearings in rail train.
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Francisco M. Bellas Aláez, Jesus M. Torres Palenzuela, Evangelos Spyrakos and Luis González Vilas
This work presents new prediction models based on recent developments in machine learning methods, such as Random Forest (RF) and AdaBoost, and compares them with more classical approaches, i.e., support vector machines (SVMs) and neural networks (NNs). ...
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Yun-Chia Liang, Yona Maimury, Angela Hsiang-Ling Chen and Josue Rodolfo Cuevas Juarez
Air, an essential natural resource, has been compromised in terms of quality by economic activities. Considerable research has been devoted to predicting instances of poor air quality, but most studies are limited by insufficient longitudinal data, makin...
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Evaristus D. Madyatmadja, Corinthias P. M. Sianipar, Cristofer Wijaya and David J. M. Sembiring
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Khurram Hameed, Douglas Chai and Alexander Rassau
The physical features of fruit and vegetables make the task of vision-based classification of fruit and vegetables challenging. The classification of fruit and vegetables at a supermarket self-checkout poses even more challenges due to variable lighting ...
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Lila Dini Utami,Romi Satria Wahono
Pág. 120 - 126
Internet merupakan bagian penting dari kehidupan sehari-hari. Saat ini, tidak hanya dari anggota keluarga dan teman-teman, tetapi juga dari orang asing yang berlokasi diseluruh dunia yang mungkin telah mengunjungi restoran tertentu. Konsumen dapat member...
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Ganeshchandra Mallya, Mohamed M. Hantush and Rao S. Govindaraju
Effective water quality management and reliable environmental modeling depend on the availability, size, and quality of water quality (WQ) data. Observed stream water quality data are usually sparse in both time and space. Reconstruction of water quality...
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Raisa Borovskaya, Denis Krivoguz, Sergei Chernyi, Efim Kozhurin, Victoria Khorosheltseva and Elena Zinchenko
Knowledge of the spatio-temporal distribution of salinity provides valuable information for understanding different processes between biota and environment, especially in hypersaline lakes. Remote sensing techniques have been used for monitoring differen...
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Annwesha Banerjee Majumder, Somsubhra Gupta, Dharmpal Singh, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos and Panagiotis Pintelas
Heart disease is a leading global cause of mortality, demanding early detection for effective and timely medical intervention. In this study, we propose a machine learning-based model for early heart disease prediction. This model is trained on a dataset...
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