Search Results - data processing methods

Combining Cirrus and Aerosol Corrections for Improved Reflectance Retrievals over Turbid Waters from Visible Infrared Imaging Radiometer Suite Data by Bo-Cai Gao, Rong-Rong Li, Marcos J. Montes, Sean C. McCarthy

“…The two methods produce comparable retrieved results, but the second method is about 20 times faster than the spectrum-matching method. …”
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Research on 10 kV Cable Insulation Detection Method Based on Ground Current Phase Variation by Gang Liu, Yuanming Zhang, Tonghui Ye, Dongdong Zhang, Peigen Cao, Yulan Che

“…By setting the relative permittivity of the cable to characterize the phase variation of the ground current under different aging degrees, and analyzing the phase variation of the cable’s ground current under different load changes at the same aging degree, a load correction-based dynamic dielectric loss evaluation method for cables is proposed. Through the construction of cable simulation models and the processing of field data, the following conclusions have been reached: Under a 1 MW load, the phase angle of the sheath grounding current in the aged phase increases as the dielectric constant of the insulation increases. …”
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Ontological model of knowledge as the basis for automation of the process of distribution of quotas for the extraction of aquatic biological resources and control over the level of... by A. V. Oleynikova, A. A. Oleynikov

“…Insufficient speed of collecting and processing data on the current level of industrial production of aquatic biological resources may cause incorrect planning during the subsequent distribution of catch quotas, which may lead to a decrease in biological diversity in the reservoirs of the Russian Federation with the subsequent loss of types of aquatic biological resources.Method. …”
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STUDY OF THE TEMPERATURE CONDITION OF SURFACE WATERS OF NOVOTROITSKY RESERVOIR BASED ON REMOTE SENSING DATA AND EVALUATION OF ITS IMPACT ON FISH GROWTH AND DEVELOPMENT by Evgeniy G. Mishvelov, Ivan A. Bakumenko, Anatoliy F. Shevkhuzhev, Vladimir A. Pogodaev

“…The table shows the data demonstrating the temperature condition of the Novotroitsky reservoir water surface. …”
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Synthetic Data-Enhanced Classification of Prevalent Osteoporotic Fractures Using Dual-Energy X-Ray Absorptiometry-Based Geometric and Material Parameters by Luca Quagliato, Jiin Seo, Jiheun Hong, Taeyong Lee, Yoon-Sok Chung

“…Conclusion The proposed methodology demonstrates that current bone health can be assessed through post-processed results from 2D-DXA analysis. Moreover, it was also shown that synthetic data can help stabilize uneven databases by balancing majority and minority classes, thereby significantly improving classification performance.…”
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Innovative cone resistance and sleeve friction prediction from geophysics based on a coupled geo-statistical and machine learning process by A. Bolève, R. Eddies, M. Staring, Y. Benboudiaf, H. Pournaki, M. Nepveaux

“…To avoid a potential overfitting problem inherent to the use of machine learning and a lack of data at certain locations, we explore the possibility of using a prior Geo-Statistical (GS) approach that attempts to constrain the overfitting process by “artificially” increasing the amount of input data. …”
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Disentangling Reasoning Factors for Natural Language Inference by Xixi Zhou, Limin Zeng, Ziping Zhao, Jiajun Bu, Wenjie Liang, Haishuai Wang

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VSG-FC: A Combined Virtual Sample Generation and Feature Construction Model for Effective Prediction of Surface Roughness in Polishing Processes by Dapeng Yang, Shenggao Ding, Lifang Pan, Yong Xu

“…Surface roughness is a critical indicator for assessing the quality and characteristics of workpieces, the accurate prediction of which can significantly enhance production efficiency and product performance. Data-driven methods are efficient ways for predicting surface roughness in polishing processes, which generally depend on large-scale samples for model training. …”
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A retrospective study on prevalence, characteristics, and outcomes of transcribing error: analysis of data from the National Medication Error Reporting System in Malaysia by Norazida Ab Rahman, Ee Vien Low, Fateha Kamaruddin, Asilah Che Ayub, Sue Chin Chong, Noridayu Tumiran, Norafidah Idris

“…We aimed to describe the prevalence, characteristics, and outcomes of MEs due to transcribing errors.Methods Retrospective analysis of data from the Medication Error Reporting System (MERS) in Malaysia. …”
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Development of the index of idiopathic lobular panniculitis activity on the basis of the clinical and laboratory characteristics of a series of clinical observations (the authors'... by O. N. Egorova, B. S. Belov, S. I. Glukhova, S. G. Radenska-Lopovok

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Factors influencing patients’ willingness to share their digital health data for primary and secondary use: A theory- and evidence-based overview of reviews by Sabrina Fesl, Caroline Lang, Jochen Schmitt, Stefanie Brückner, Stephen Gilbert, Stefanie Deckert, Madlen Scheibe

“…SRs underwent a multistage screening process using the inclusion and exclusion criteria based on the Population, Concept/Construct, and Context (PCC) framework, followed by data extraction and quality assessment using revised measurement tool to assess systematic reviews (R-AMSTAR2). …”
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Identifying Inefficient Urban Residential Land within Shenzhen City: An Approach Using Gaussian Mixture Model and Multi-Source Big Data by Y. Liu, S. Liang, R. Guo, W. Wang, D. Ma, Y. Zheng, L. Zhang, Q. Liu, X. Li

“…Additionally, Spearman's coefficient analysis and Principal Component Analysis methods are applied for data dimensionality reduction. …”
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Barriers and facilitators to the implementation of integrated community multimorbidity care model in Shanghai-a qualitative study based on normative process theory by SUI Mengyun1, FENG Jiachen1#, ZHANG Sheng1, CHENG Minna1, WANG Yuheng1, FU Chen1, SHI Yan1

“…Objective To analysis of the facilitators and barriers to the implementation of the integrated community multimorbidity care model from the perspective of the implementers, to bridge the implementation gap, and to provide policy recommendations for government.Methods A qualitative interview questionnaire was developed around the four constructs of normalisation process theory (NPT) (coherence, cognitive engagement, collective action and reflective monitoring) and 40 professionals from 11 community health centers in 10 administrative districts of Shanghai were interviewed, with data coded using NVivo 12 software.Results A total of 4 thematic terms and 11 sub-thematic terms were summarized as coherence (perceived value, understanding and implementing the purpose and vision of the model, new skills and requirements), cognitive engagement (implementers’ attitudes towards the new model, multi-sectoral engagement), collective action (current status of model implementation, team members’ cooperation and collaboration, resource support), reflective monitoring (data accessibility, sharing of implementation progress and effectiveness, population labelling and personalized alerts).Conclusion The model faces challenges in implementation such as unclear service objectives, irregular staffing, insufficient resource support, insufficient adhesion with family doctors, unavailability of relevant data, and low utilization of services, etc.It is recommended that clear objectives be set to increase recognition of the model, establish fixed posts and responsibilities for service providers, strengthen information disclosure and sharing between the authorities, the community, and within the team. …”
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Implementasi Data Mining untuk Deteksi Penyakit Ginjal Kronis (PGK) menggunakan K-Nearest Neighbor (KNN) dengan Backward Elimination by Ikhsan Wisnuadji Gamadarenda, Indra Waspada

“…Allowing CKD to be prevented, addressed, and advised to get effective therapy is greater if acknowledged earlier. The process of this research uses work methods of Data Mining Knowledge Data Discovery (KDD). …”
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Adaptive information management system of dynamic monitoring of actual water content in jet fuel in technological processes of aviation fuel supply by A. A. Brailko, V. M. Samoylenko, N. A. Druzhinin, L. A. Druzhinin

“…The automation of aviation fuel quality monitoring processes, the transition from discrete control methods to continuous ones, from static control methods to dynamic ones (in-line), from indirect methods to direct ones are becoming relevant. …”
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Accuracy of ChatGPT-3.5, ChatGPT-4o, Copilot, Gemini, Claude, and Perplexity in advising on lumbosacral radicular pain against clinical practice guidelines: cross-sectional study by Giacomo Rossettini, Giacomo Rossettini, Silvia Bargeri, Chad Cook, Chad Cook, Chad Cook, Stefania Guida, Alvisa Palese, Lia Rodeghiero, Paolo Pillastrini, Paolo Pillastrini, Andrea Turolla, Andrea Turolla, Greta Castellini, Silvia Gianola

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A novel method for a technology enhanced learning recommender system considering changing user interest based on neural collaborative filtering by Mohammad Mehran Lesan Sedgh, Alimohammad Latif, Sima Emadi

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Minangkabau Language Stemming: A New Approach with Modified Enhanced Confix Stripping by Fadhli Almu'iini Ahda, Aji Prasetya Wibawa, Didik Dwi Prasetya, Danang Arbian Sulistyo, Andrew Nafalski

“…The employed method assesses the efficacy of stemming, which differs according to language. …”
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Biggest Public Oil Companies: Impact of External and Internal Factors on Capitalization by R. M. Nureev, E. G. Busygin

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Toward Automatic Dataset Discovery From Scientific Publications by Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal

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