SPATIAL AND TEMPORAL B-VALUE ANALYSIS OF THE YOGYAKARTA REGION USING EARTHQUAKE DATA 1960 – 2024 by Sari Rahayu R, Iktri Madrinovella

“…The results show that spatially, the b-value of the Yogyakarta region is generally low with a range of values of 0.35 - 0.75 using a grid of 1.5 x 1.5 km and a radius of 15 km with low values around the Opak fault and Ngalang Fault, meaning that the area still holds a high accumulation of stress energy and has the potential for large earthquakes to occur again in the future. …”
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Assessing the allergenic potential of urban green spaces using orthoimagery and airborne LiDAR data by Jinzhou Wu, Robbe Neyns, Markus Münzinger, Frank Canters

“…Over the past decades, pollen allergy has become one of the most widespread public health issues. …”
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Indirect tuning of a complementary orientation filter using velocity data and a genetic algorithm by Dariusz Maton, John T. Economou, David Galvão Wall, Irfan Khan, Robert Cooper, David Ward, Simon Trythall

“…Optimal gains are prescribed by a Mamdani fuzzy rule base whose membership functions are found using a genetic algorithm and experimental data. …”
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Data-driven modelling of a commercial cold storage system using subspace system identification by Adesola Temitope Bankole, Muhammed Bashir Mu’azu, Habeeb Bello-Salau, Zaharuddeen Haruna

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Redefining comorbidity understanding in rheumatoid arthritis through novel approaches using real-world data by Diego Benavent, Chamaida Plasencia-Rodríguez

“…However, while the benefits of using RWD are substantial, challenges remain. Ensuring comprehensive data capture, managing missing data, and improving data detection are key areas requiring attention. …”
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Time Series Forecasting for Air Quality with Structured and Unstructured Data Using Artificial Neural Networks by Kenneth Chan, Paul Matthews, Kamran Munir

“…CORD is a model that allows for dual input types: structured data from air quality data collected with meteorological cameras and images (unstructured data) from monitoring stations. …”
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Use of digital data from open sources during the investigation of criminal offenses: certain aspects by Basysta I., Havrylyuk L., Hutnyk A., Khytra A.

“…he purpose of the article is to study the possibilities of using digital data from open sources during the investigation of criminal offenses. …”
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Multiclass classification of thalassemia types using complete blood count and HPLC data with machine learning by Muhammad Umar Nasir, Muhammad Zubair, Muhammad Tahir Naseem, Tariq Shahzad, Ahmed Saeed, Khan Muhammad Adnan, Amir H. Gandomi

“…The imported SVM model, slightly less accurate than XGBoost, still has strong performance, particularly on the HPLC data where the cumulative testing accuracy of the model stood at 99.4%. …”
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Advanced montane bird monitoring using self-supervised learning and transformer on passive acoustic data by Yu-Cheng Wei, Wei-Lun Chen, Mao-Ning Tuanmu, Sheng-Shan Lu, Ming-Tang Shiao

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Enhanced Multi-Level Recommender System Using Turnover-Based Weighting for Predicting Regional Preferences by Venkatesan Thillainayagam, Ramkumar Thirunavukarasu, J. Arun Pandian

“…Furthermore, the proposed big data framework eliminates the forced integration of branch data into a centralized repository and avoids the complexities associated with data movement. …”
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Pothole detection and segmentation in the Bushveld Complex using physics-based data augmentation and deep learning by Glen T. Nwaila, Musa S.D. Manzi, Emmanuel John M. Carranza, Raymond J. Durrheim, Hartwig E. Frimmel

“…We demonstrate that a self-reinforcing feedback loop of knowledge-driven data engineering and deep learning has the potential to overcome data quality issues in supervised tasks of seismic data analysis. …”
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Distinction Geological Formations at Qand Structure And Bashiqa Anticline Localities Using Remote Sensing Data. by Mayada Mahmood Husain

“… The research project includes the use of remote sensing data such as multispectral images of Enhanced thematic mapper on board of "Laudsat 7" for the purpose of distinguishing and defining the geological formations it has been shown that in order to achieve the purpose of the research project, an incorporation of the channels TM (7, 5, and 3), was carried out. …”
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Evaluation of Coalbed Methane Content by Using Kernel Extreme Learning Machine and Geophysical Logging Data by Jianhong Guo, Zhansong Zhang, Guangshan Guo, Hang Xiao, Linqi Zhu, Chaomo Zhang, Xiao Tang, Xueqing Zhou, Yanan Zhang, Can Wang

“…With the development and application of geophysical logging technology, using geophysical logging data to predict the gas content of CBM reservoirs has been proven to be an effective and feasible solution. …”
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Analysis insights to support the use of wastewater and environmental surveillance data for infectious diseases and pandemic preparedness by KM O’Reilly, MJ Wade, K. Farkas, F. Amman, A. Lison, JD Munday, J. Bingham, ZE Mthombothi, Z. Fang, CS Brown, RR Kao, L. Danon

“…Wastewater-based epidemiology is the detection of pathogens from sewage systems and the interpretation of these data to improve public health. Its use has increased in scope since 2020, when it was demonstrated that SARS-CoV-2 RNA could be successfully extracted from the wastewater of affected populations. …”
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Early Prediction of Battery Lifetime Using Centered Isotonic Regression with Quantile-Transformed Features by Muhammad Arslan Khan, Yixing Wang, Benben Jiang

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AVO analysis for high amplitude anomalies using 2D pre-stack seismic data by Lamees Abdulkareem

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Development of a model to diagnose influenza in travelers using data on the number of influenza cases and symptoms by Yusuke Asai, Kei Yamamoto, Hidetoshi Nomoto, Hidenori Nakagawa, Toshinori Sahara, Masaya Yamato, Naoya Sakamoto, Ryota Hase, Koh Shinohara, Yukihiro Yoshimura, Atsushi Nagasaka, Takahiro Ichikawa, Natsuko Imakita, Hiroshi Miyawaki, Kyoko Yokota, Yoshihiro Yamamoto, Naoya Itoh, Nobumasa Okumura, Yusuke Yoshimi, Norio Ohmagari

“…AIM: To develop a statistical model to diagnose influenza in international travelers using data on symptoms and the number of influenza cases in each country. …”
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The activity space and the 15-minute neighborhood: An empirical study using big data in Qingdao, China by Lin Lin, Tianyi Chen

“…This study investigates the impacts of the 15-minute neighborhood described in the 2018 standards on activity space, using mobile network data in Qingdao, China. A total of 42,991 subscribers of China Mobile are randomly sampled. …”
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An effective library website: a data-driven approach to its management using analytical tools by О. M. Udartseva

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Exploring the Use of AI in Qualitative Data Analysis: Comparing Manual Processing with Avidnote for Theme Generation by S. M. Akramul Kabir, Fareeha Ali, Rana Lotfy Ahmed, Ruqayya Sulaiman-Hill

“…However, fundamental concerns persist regarding the robustness, generalisability, credibility, reliability and trustworthiness of qualitative research when using AI technologies. Ethical considerations, such as data security and privacy, also need to be addressed in research settings. …”
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