A Combined Method for Localizing Two Overlapping Acoustic Sources Based on Deep Learning by Alexander Lyapin, Ghiath Shahoud, Evgeny Agafonov

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The Portrait of Kuta village Community Economic Activities and Its Application as Economic Learning Source Based on Cultural Values by Edi Fitriana Afriza, Astri Srigustini

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Identification model of mine water inrush source based on XGBoost and SHAP by Bencong Kou, Tingxin Wen

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A scaffolding intervention to improve self-efficacy in source-based argumentative writing by Besma Allagui

“…This study examined the role of scaffolding as temporary support offered by an educator to help students complete a learning task that would be challenging to accomplish without this support. …”
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Morpho-photometric Classification of KiDS DR5 Sources Based on Neural Networks: A Comprehensive Star–Quasar–Galaxy Catalog by Hai-Cheng Feng, Rui Li, Nicola R. Napolitano, Sha-Sha Li, J. M. Bai, Yue Dong, Ran Li, H. T. Liu, Kai-Xing Lu, Zhi-Wei Pan, Mario Radovich, Huan-Yuan Shan, Jian-Guo Wang, Wen-Zhe Xi, Ling-Hua Xie, Zun-Li Yuan, Yang-Wei Zhang

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Analysis of printed document identification based on Deep Learning by Dinh Thong Nguyen, Phu Quang Nguyen, Hoang Bao An Mai

“… In this study, we investigate the effectiveness of ResNet, a deep neural network architecture, for a deep learning approach to address the problem of printed document identification. …”
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Analysis of printed document identification based on Deep Learning by Dinh Thong Nguyen, Phu Quang Nguyen, Hoang Bao An Mai

“… In this study, we investigate the effectiveness of ResNet, a deep neural network architecture, for a deep learning approach to address the problem of printed document identification. …”
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Exploring the Landscape of Programming Language Identification With Machine Learning Approaches by Amandeep Verma, Rahul Saha, Gulshan Kumar, Alessandro Brighente, Mauro Conti, Tai-Hoon Kim

“…These techniques include conventional, operation-based, and data source-based techniques. Our study examines the advantages and limitations of identifying the programming language in text, images, and videos. …”
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Predicting Performance of Hall Effect Ion Source Using Machine Learning by Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe

“…Herein, a robust machine learning model is introduced that uses a neural network ensemble to predict the performance of Hall effect ion sources based on design parameters such as discharge channel dimensions and magnetic field structure. …”
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Magnetic Source Detection Using an Array of Planar Hall Effect Sensors and Machine Learning Algorithms by Miki Vizel, Roger Alimi, Daniel Lahav, Moty Schultz, Asaf Grosz, Lior Klein

“…We use an array of nine elliptical Planar Hall Effect (PHE) sensors and machine learning algorithms to map the magnetic signal generated by a magnetic source. …”
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A robust transfer learning approach for high-dimensional linear regression to support integration of multi-source gene expression data. by Lulu Pan, Qian Gao, Kecheng Wei, Yongfu Yu, Guoyou Qin, Tong Wang

“…To avoid including non-informative sources, we propose to select the transferable sources based on cross-validation. Extensive simulation experiments as well as an application demonstrate that Trans-PtLR demonstrates robustness and better performance of estimation and prediction when heavy-tail and outliers exist compared to transfer learning for linear regression model with normal error distribution. …”
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Machine learning-assisted source identification and probabilistic ecological-health risk assessment of heavy metal(loid)s in urban park soils by Jun Li, Xu Li, Xi-Sheng Tai, Xin-Ying Tuo, Fa-Yuan Zhou, Yi-Jing Rong, Fei Zang

“…This study combines multivariate statistical methods, machine learning techniques, and positive matrix factorization (PMF) with Monte Carlo simulation to investigate HM sources, probabilistic pollution levels, source-based ecological risks, and population-specific health hazards in seven urban parks in a nickel-based mining city in China. …”
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A Qualitative and Quantitative Method for Studying Religious Virtual Communities: The Case of the Salafi United Kingdom’s Community on Twitter (X) by Eli Alshech, Roni Ramon-Gonen, Onn Shehory, Yossi Mann

“…This open-source-based article presents an automated method for identifying and tracing popular Salafi discussions online. …”
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Challenges of implementing digital technologies into public administration and forming a “smart government” by O. N. Afanasyeva, E. M. Korostyshevskaya

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Integrated MPPT and bidirectional DC DC converter with reduced switch multilevel inverters for electric vehicles applications by K. Dhineshkumar, N. Vengadachalam, Suresh Muthusamy, Baseem Khan

“…PV powered EV charging system has the ability to substantially reduce greenhouse emissions when compared with conventional sources-based EV charging system. However, existing PV based EV charging systems lack efficient approaches for adapting optimally to varying environmental conditions. …”
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Education as a Science and Its Relevance in the Digital Era by Restu Rizki Amanda, Udin Supriadi, Nurti Budiyanti, Eri Anugrah

“…This research utilizes data sources based on literature from previous relevant studies. …”
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Efektivitas Penggunaan Aplikasi Open Source dalam Pembelajaran Matematika Komputer by I Made Dedy setiawan

“…So far, computer mathematics learning in INSTIKI classes has not utilized open source-based applications. …”
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Data Processing Technology for the Forecasting of the Water Inflow into a Reservoir with the Use of Earth Remote Sensing and the Network of Meteorological and Hydrological Posts by Eroshenko S.A., Matrenin P.V., Khalyasmaa A.I., Klimenko D.E., Sidorova A.V.

“…Management of the hydropower plants requires the economically efficient use of water re-sources based on the forecasts and simulation models of the hydropower plant and the reservoir. …”
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Radar Emitter Classification Based on a Multiperspective Collaborative Clustering Method and Radar Characteristic Spectrum by Jundi Wang, Xing Wang, Yipeng Zhou, You Chen

“…The present work addresses this issue by proposing a multiperspective collaborative clustering method for sorting radiation sources based on the multiperspective information of radar signals. …”
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Analisis Kemampuan Berpikir Kritis Matematis Siswa pada Distribusi Peluang Binomial Ditinjau dari Jenis Kelamin by Laila Akbar Ramadhany, Sutrisno Sutrisno, Solastri Solastri

“…The data validity test was carried out through triangulation of data sources based on gender, namely male and female. The results of this research show that there are significant differences in analysis and inference indicators related to mathematical critical thinking abilities between male and female research subjects.…”
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