Search Results - data processing methods

Downscaling NOx emission into 1 km resolution over a typical mega-city based on POI with machine learning method by Zining Yang, Hengheng Ge, Chun Zhao, Xuchao Yang, Qiuyan Du, Zihan Xia, Gudongze Li

“…Precise disaggregation of emissions based on the latitude-longitude coordinates of emitting facilities is crucial for constructing high-resolution emission inventories. Machine learning methods effectively analyze the association between Point of Interest (POI) and actual emission data, thereby enhancing the accuracy of downscaling process. …”
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Developing an E-Big Book Assisted Global Method to Improve Information Narrative Text Comprehension among Elementary School Students by Malika Aulia Faradila Faradila, Panca Dewi Purwati

“…This study addresses this issue through a Research and Development (R&D) approach to design, validate, and evaluate the effectiveness of an e-big book based on the local wisdom of the Prophet's Maulid Tradition, assisted by the Global Method. The development process followed an eight-stage adaptation of the Borg and Gall model, involving first-grade students and teachers from SDN 1 and SDN 3 Kedungsuren, Kendal, as well as media and material experts for validation. …”
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Estimation of Critical Properties of Eucalyptol, Alpha-Terpineol, Limonene, and Caryophyllene in Eucalyptus Oil (Melaleuca leucadendra) Using the Group Contribution Method by Muhammad Dewa Prasetyo, Srie Muljani, Amilia Putri Puspita Sari

“…This study updates the previous research by adding a comparative analysis of estimation errors between methods. Eucalyptus oil was extracted using microwave hydrodistillation followed by vacuum distillation to determine experimental data, then estimated using the Joback, Constantinou-Gani (CG), Wilson-Japerson (WJ), and Marrero-Pardillo (MP) methods. …”
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Early findings from the integration of hypertension care into differentiated service delivery models for HIV in Uganda: a mixed‐method study by John Baptist Kiggundu, Fred C. Semitala, Chelsea Faith Lipoto, Lilian Giibwa, Robert Twine, Savio Mwaka, Florence Ayebare, Christine Kiwala, Evelyn N. Magambo, Gerald Mutungi, Isaac Ssinabulya, Donna Spiegelman, James Kayima, Martin Muddu, Jeremy I. Schwartz, Anne R. Katahoire, Chris T. Longenecker

“…Inductive thematic analysis was applied to the qualitative data using the Consolidated Framework for Implementation Research. …”
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Deep Learning Method with Domain-Task Adaptation and Client-Specific Fine-Tuning YOLO11 Model for Counting Greenhouse Tomatoes by Igor Glukhikh, Dmitry Glukhikh, Anna Gubina, Tatiana Chernysheva

“…This study proposes a method for the sequential training of detection models, incorporating Domain-Task Adaptation and Client-Specific Fine-Tuning. …”
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Methodical approach to quantitative assessment of the risks of the implementation of threats unauthorized access to an information resource automated systems of internal affairs bo... by T. V. Meshcheryakova, E. A. Rogozin, A. O. Efimov, V. R. Romanova, S. A. Konovalenko

“…To obtain information that allows assessing the degree of threats, it is necessary to conduct a quantitative risk assessment.Method. The method for assessing the risks of implementing threats of unauthorized access to the information resource of the ATS AS and obtaining data in a quantitative representation is based on the use of mathematical modeling methods. …”
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EEG Eye Blink Artifacts Removal with Wavelet Denoising and Bandpass Filtering by Ebtesam N. AlShemmary, Bushra K. Hilal, Azmi Sh. Abdulbaqi, Mohammed A. Ahmed, Zhentai Lu

“… Many data sources can be analyzed using Wavelet Transforms (WT), a mathematical technique frequently used for extracting information from them. …”
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Appropriateness of NHS 111 Wales outcomes—using the Call Prioritisation Streaming System: a RAND/UCLA modified Delphi method by Craig Brown, Conrad Fivaz, Rebecca Malin, Mike Brady, Rhiannon Elizabeth Roynon, Peter Noblett

“…CPSS is a sophisticated Computer Decision Support Software designed to enhance decision-making processes. It achieves this by integrating individual patient data with a comprehensive computerised knowledge base, employing advanced software algorithms to produce recommendations and dispositions.Objectives While CPSS offers many advantages, its introduction marked a major shift in clinical digital processes. …”
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A Validation Framework for Bulk Distribution Logistics Simulation Models by Andres Guiguet, Dirk Pons

“…<i>Method</i>: Traditionally accepted approaches were synthesised so as to develop an into a flexible three-stage modelling and validation approach to guide the process and improve the transparency of adapting available data sources for the simulation itself. …”
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Involvement of the ERK MAPK Cascade in the Formation of Adhesions in the Abdominal Cavity by I. A. Shurygina, M. G. Shurygin, L. V. Rodionova, E. E. Chepurnykh, N. I. Ayushinova

“…Histochemically revealed an increase in ERK1 expression with two peaks of activity – at 1 and 30 days.Conclusion. Our data establish multichannel control of the reparative process in the area of damage to the serous membrane with the involvement of both the p38 and ERK MAPK cascades, which is important to consider when developing methods of influencing the wound healing process in the abdominal cavity.…”
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ARTIFICIAL INTELLIGENCE IN LANGUAGE EDUCATION IN TÜRKİYE: POTENTIAL CHALLENGES by S. Doğruer, Y. Tuğlu

“…This study examines the potential challenges that language learners might encounter during the process of AI-supported foreign language learning (English and German) in Türkiye. …”
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Identification of polynomial models of static load characteristics based on passive experiment results by N. L. Batseva, A. K. Zhuykov

“…The most technologically advanced approach to collect data for the static load characteristics identification is a passive experiment, but the statistical processing of data does not allow for the polynomial models identification. …”
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Klasifikasi Program Bantuan Sosial Menggunakan Algoritma K-Nearest Neighbor (K-NN)(Studi Kasus Kecamatan Malangbong Kabupaten Garut) by Hamzah Nurrifqi Fakhri Fikrillah

“…By using the K-Nearest Neighbor algorithm and the Cross-Industry Standard Process for Data Mining (Crisp-DM) method, it is hoped that a more accurate and efficient solution can be found in determining the criteria for poor people to receive BANSOS. …”
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Business Intelligence adoption in Jordanian e-banking: Unveiling key drivers and challenges by Mohammad Mahmoud Saleem Alzubi

“…The study examines decisive elements affecting Business Intelligence (BI) acceptance within e-banking operations in Jordan by analyzing how IT infrastructure, data analytics competency, cybersecurity preparedness, and regulatory alignment impact the process. …”
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Supervised Machine Learning Thyroid Carcinoma Diagnosis Using Wide-Field SHG Microscopy by Yaraslau Padrez, Radu Hristu, Igor Timoshchenko, Lucian G. Eftimie, Danielis Rutkauskas, Lena Golubewa

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Enhancing Aquifer Characterization With Position‐Encoded Hyperparameters: A Novel ES‐SIFG Approach by Meng Sun, Qiankun Luo, Yun Yang, Tongchao Nan, Jiangjiang Zhang, Lei Ma, Yu Li, Haichun Ma, Ming Lei, Yaping Deng, Jiazhong Qian

“…Furthermore, SIFG allows usage of CL between hyperparameters and observations, which ensures the stable convergence of data assimilation processes even with very small ensemble sizes.…”
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Standardising monitoring data on drug-related infectious diseases among people who inject drugs in Europe – an update of the European Union Drugs Agency technical protocol, 2024 by Ruth Zimmermann

“…HIV pre-exposure prophylaxis and take-home naloxone were added as optional indicators. The process was informed by a European working group, who shared best-practice examples of (repeated) cross-sectional and cohort surveys using different methods in various settings. …”
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Penerapan Algoritma Fuzzy C Means untuk Analisis Permasalahan Simpanan Wajib Anggota Koperasi by Risma Rustiyan, Mustakim Mustakim

“…To help overcome these problems, it is necessary to form a grouping of PUSKUD Members by Regency / City domicile in the payment of Mandatory Deposits. The method used is Data Mining Clustering with Fuzzy C Means algorithm. …”
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GPR Sensing and Visual Mapping Through 4G-LTE, 5G, Wi-Fi HaLow, and Wi-Fi Hotspots with Edge Computing and AR Representation by Scott Tanch, Alireza Fath, Nicholas Hanna, Tian Xia, Dryver Huston

“…These promising results bode well for the potential of remote processing of GPR data in augmented reality applications.…”
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Ultraprocessed Food Consumption and Pre-Farmgate Greenhouse Gas Emissions Among United States Adults from 2007–2010 by Rhea Jayaswal, Sarah M Frank, Euridice Martinez Steele, Donald Rose, Lindsey Smith Taillie

“…Objectives: We used a nationally representative survey to evaluate the association between UPF consumption and pre-farmgate GHGE among United States adults. Methods: Data were from the National Health and Nutrition Examination Survey, 2007–2010. …”
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