Search Results - data processing methods

Application of a geostatistical algorithm for correcting well logging data when modelling complex hydrocarbon deposits at the stage of additional field exploration by V. L. Shuster, O. V. Tjukavkina, I. S. Permyakova, I. L. Kapitonova

“…Reliable models of the object under exploration and the use of best practices in the field of information systems reduce investment risks associated with planning exploration works, at the same time as optimizing the planning and design of the entire process of field development.Aim. Optimization of the selection process of multivolume, multiparameter logging data when modelling a complex oil reservoir at the stage of additional field exploration, grouping well data by quality, completeness and uniformity of their distribution over the study area, as well as identifying inaccuracies (errors) in the field data (registration of signals in probes, errors in measurements of directional survey, borehole picks, etc.).Materials and methods. …”
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Parameters of the Influenza Epidemic in Russia in the 2019-2020 Season by L. S. Karpova, T. P. Stolyarova, N. M. Popovtseva

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Assessing the Spatial Dependence of the Shipped Products Volume in Dynamics by V. M. Timiryanova

“…In the context of the economic space network development, the changes cannot be ignored in production and trade processes in some territories in isolation from the processes taking place in other territories. …”
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Data-driven machine learning algorithm model for pneumonia prediction and determinant factor stratification among children aged 6–23 months in Ethiopia by Addisalem Workie Demsash, Rediet Abebe, Wubishet Gezimu, Gemeda Wakgari Kitil, Michael Amera Tizazu, Abera Lambebo, Firomsa Bekele, Solomon Seyife Alemu, Mohammedamin Hajure Jarso, Geleta Nenko Dube, Lema Fikadu Wedajo, Sanju Purohit, Mulugeta Hayelom Kalayou

“…The data was pre-processed into a training and testing dataset with a 4:1 ratio, and tenfold cross-validation was used to reduce bias and enhance the models’ performance. …”
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Power of creative arts for older people with chronic pain and depressive symptoms: co-development of the Rewire with Arts protocol and findings from a pilot study by Tianyin Liu, Hotinpo Sky Kanagawa, Jessica Kang Qi Lee, Dara Kiu Yi Leung, Stephanie Ming Yin Wong, Wai-wai Kwok, Gloria Hoi Yan Wong, Terry Yat Sang Lum

“…Descriptive and Wilcoxon signed-rank tests were applied to analyse quantitative data, and thematic analysis was used for qualitative data. …”
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A high-resolution temperature–salinity dataset observed by autonomous underwater vehicles for the evolution of mesoscale eddies and associated submesoscale processes in the South... by C. Qiu, C. Qiu, Z. Du, Z. Du, H. Tang, H. Tang, Z. Yi, Z. Yi, J. Qiao, J. Qiao, D. Wang, D. Wang, X. Zhai, W. Wang, W. Wang

“…However, traditional observation methods, constrained by passive sampling modes, struggle to resolve the temporal evolution of MEs and associated submesoscale processes at kilometer-scale resolutions. …”
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Aluminum in quartz of the Darasun gold deposit (Eastern Transbaikal region, Russia) by L. T. Rakov, V. Y. Prokofiev, E. A. Minervina, L. D. Zorina

“…It was taken into account that the intensity and direction of the studied processes can be influenced by the temperature of quartz formation and the degree of its recrystallization. …”
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Web-based supply chain system design using blockchain by Faris Nofandi, Muhammad R.B. Janaputra, Rizki A. Pratama

“…Method: Primary data were collected via observations and interviews with stakeholders involved in the supply chain obtaining information on production data, selling prices and orders for agromaritime products. …”
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EXPLORING THE ROLE OF DRUGBANK IN INVESTIGATING PHARMACOGENOMIC-DRIVEN NOVEL DRUG by Setiyo Budi Santoso, Prasojo Pribadi, Widarika Santi Hapsari, Setya Rini Abiyana

“… Bioinformatics plays a vital role in drug discovery and repurposing, yet challenges persist in data availability, biological complexity, and method standardization. …”
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Harnessing Moderate-Sized Language Models for Reliable Patient Data Deidentification in Emergency Department Records: Algorithm Development, Validation, and Implementation Study by Océane Dorémus, Dylan Russon, Benjamin Contrand, Ariel Guerra-Adames, Marta Avalos-Fernandez, Cédric Gil-Jardiné, Emmanuel Lagarde

“… Abstract BackgroundThe digitization of health care, facilitated by the adoption of electronic health records systems, has revolutionized data-driven medical research and patient care. While this digital transformation offers substantial benefits in health care efficiency and accessibility, it concurrently raises significant concerns over privacy and data security. …”
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Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model by Kai Cheng, Xiaokang Zhang, Keping Zhou, Chenao Zhou, Jielin Li, Chun Yang, Yurong Guo, Ranfeng Wang

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An Equipment Identification Method Based on Lightweight CenterNet from Multivariate Features Fusion for Distribution Area by WANG Wenbin, FAN Ruixiang, DENG Zhixiang, WAN Junbiao, PAN Jianbing

“…Considering the lack of computing power of embedded devices, the CenterNet algorithm adopts a variety of lightweight processing, including reducing the size of input data, optimizing the network structure and reasoning structure, pruning and other operations, so that the data detection speed is increased from 1720 ms to 322 ms, which can achieve the goal of real-time processing on the premise of meeting the accuracy requirements and provides an effective means for the subsequent design and optimization of the distribution station area.…”
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High‐Precision Prediction of Ionospheric TEC in the China Region Based on CMONOC High‐Resolution Data and an Auxiliary Attention Temporal Convolutional Network by Jianghe Chen, Pan Xiong, Haochen Wu, Xiaoran Zhang, Xuemin Zhang, Rongzi Chai, Ting Zhang, Kaixin Wang, Chaoyu Wang

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A Weighted Low-Rank and Sparse Constraint-Based Multichannel Radar Forward-Looking Imaging Method by Junkui Tang, Lei Ran, Zheng Liu, Rong Xie, Yan Liu, Genquan Han

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Name Entity Recognition Tasks: Technologies and Tools by Nadezhda Stanislavona Lagutina, Andrey Mikhaylovich Vasilyev, Daniil Dmitrievich Zafievsky

“…The authors identified five categories: the classical task of NER, NER subtasks, NER in social media, NER in domain, NER in natural language processing (NLP) tasks. For each category the authors discuss the quality of the solution, features of the methods, problems, and limitations. …”
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Perbandingan Performa Arimax-Garch Dan Lstm Pada Data Harga Penutupan Saham PT Aneka Tambang Tbk (ANTM.JK) by Dhiya Khalishah Tsany Suwarso, Akbar Rizki, Salsabila Dwi Rahmi, Hakim Zoelva Mahesa, Windi Gunawan, Zafira Ilma Fitri, Yenni Angraini, Adelia Putri, Muhammad Rizky Nurhambali

“…Data processing is done using R-Studio and Python software. …”
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DISPEL: A Python Framework for Developing Measures From Digital Health Technologies by A. Scotland, G. Cosne, A. Juraver, A. Karatsidis, J. Penalver-Andres, E. Bartholome, C. M. Kanzler, C. Mazza, D. Roggen, C. Hinchliffe, S. Del Din, S. Belachew

“…It already supports formats from different data providers and allows traceable end-to-end processing from raw data collected with wearables and smartphones to structured SDM datasets. …”
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The transformative power of artificial intelligence in pharmaceutical manufacturing: Enhancing efficiency, product quality, and safety by Mukesh Vijayarangam Rajesh, Karthikeyan Elumalai

“…The utilization of AI helps businesses identify necessary equipment maintenance demands which enables companies to organize maintenance before equipment breakdowns occur. AI-driven data insights enable companies to make strategic choices based on real-time data, automate operational processes for efficiency, and respond to emerging industry patterns positively. …”
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Predicting Drug–Side Effect Relationships From Parametric Knowledge Embedded in Biomedical BERT Models: Methodological Study With a Natural Language Processing Approach by Woohyuk Jeon, Minjae Park, Doyeon An, Wonshik Nam, Ju-Young Shin, Seunghee Lee, Suehyun Lee

“…External validation with the FDA (Food and Drug Administration) Adverse Event Reporting System data, using Fisher exact test based on 8,235,435 predicted drug–side effect pairs and 901,361 known relationships, confirmed high statistical significance (P ConclusionsThis study introduces a method for extracting drug–side effect relationships embedded in parameters of language models pretrained on biomedical corpora and using this information to predict previously unknown drug–side effect relationships. …”
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Visualization of defects images during manual ultrasonic inspection of parts and units of the railway rolling stock by A. N. Kireev

“…First, the types of defects are determined by a two-frequency method, then using the obtained data and mathematical transformations they are formed and displayed in the output window of the B- and C-scans of the monitored section. …”
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