Search Results - data processing methods

A comprehensive approach to monitoring peatland changes using multi-temporal airborne LiDAR data by Sebastian Czapiewski, Tomasz Giętkowski, Danuta Szumińska

“…The average rate of peat subsidence in the analysed sites in the period 2011/12–2022 was about 6  cm yr−1. Our method systematises multi‑temporal LiDAR processing and delivers key ecohydrological indicators LiDAR-derived surface elevation, peatland extent and vegetation structure, thereby diagnosing the environmental condition of peatlands. …”
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Research into Robust Federated Learning Methods Driven by Heterogeneity Awareness by Junhui Song, Zhangqi Zheng, Afei Li, Zhixin Xia, Yongshan Liu

“…First, a heterogeneity quantification mechanism is designed based on statistical feature distributions, enabling the effective measurement of inter-client data discrepancies. This metric is further employed to guide the model aggregation process through a heterogeneity-aware weighted strategy. …”
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Valuing the Recreational Uses of Pakistan’s Wetlands: An Application of the Travel Cost Method by Iftikhar Hussain Adil, Ali Dehlavi

“…This study uses a single-site truncated count data travel cost method to estimate the access values of visitors to Keenjhar Lake. …”
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A Hardware-Aware Failure-Detection Method for GPU Control-Logic by Hiroaki Itsuji, Takumi Uezono, Tadanobu Toba, Kojiro Ito, Masanori Hashimoto

“…Various failure detection methods have been proposed for SDCs caused by faults in data units such as registers. …”
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The  Formation  of  the Production Losses  data  for  Quick  Management  Decision-Making by I. E. Mizikovsky

“…The aim of the study is to form a set of accounting and calculation tools to reflect information about production losses, ensuring the adoption of operational management decisions. Application of methods of observation, system analysis, classification and grouping provided the possibility of modernization of existing methods and methods of data generation in the segment of information space management of economic entities of manufacturing industries. …”
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Soft sensor modeling method for Pichia pastoris fermentation process based on domain adaptation ensemble LSTM by Bo Wang, Jun Wei, Yongxian Song, Hui Jiang

“…Firstly, in order to effectively utilize unlabeled data and improve the generalization ability of the model, autoencoder technology is adopted to extract dynamic feature information of the fermentation process from unlabeled data using LSTM encoder decoder. …”
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Identifying Ring Galaxies in DESI Legacy Imaging Surveys Using Machine Learning Methods by Aina Zhang, Xiaoming Kong, Bowen Liu, Nan Li, Yude Bu, Zhenping Yi, Meng Liu

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PRINCIPALLY NEW EFFECTIVE CASTING PROCESS OF THE HOLLOW CYLINDRICAL SLUGS OF CAST IRON BY METHOD OF DIRECTIONAL SOLIDIFICATION by E. I. Marukovich, V. F. Bevza, V. P. Grusha

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Description of the technological process of creation anatomical macro-prepartments of parencymatous organs by plastination method (literature review) by V. P. Artishchev, A. A. Supilnikov, K. N. Krupin, J. Frishons

“…As a result of the analysis, the general stages of the technological process were identified, as well as the features of the methods used by various authors. …”
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Assessment of a Country's Regional Economic Development on the Basis of Estimation of a Single Process (ESP) Method by Romualdas Ginevičius, Dainora Gedvilaitė, Šarūnas Bruzgė

“… Objective: The objective of this article is to demonstrate an option of quantitative assessment of the status of an isolated complex target object. Research Design & Methods: Review of scientific literature, an analysis of statistical data and methods applied in the theory of multiple criteria have been used for the purpose of this research. …”
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Normalization of assembly technical process of the frame of power and control equipment for nuclear power plants by the method of simulation by I. A. Loskutov

“…Initially, it was believed that the operations of the technological process of manufacturing equipment should be rationalized by classical methods, however, in the previous works of the author, a new approach was proposed, based on the analysis of the characteristics of the employee employed in the technical process, the specifics of the type of operational work, as well as various disturbing factors that negatively affect the production time. …”
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The Effect of pH Solution in the Sol–Gel Process on the Process of Formation of Fractal Structures in Thin SnO₂ Films by Ekaterina Bondar, Igor Lebedev, Anastasia Fedosimova, Elena Dmitriyeva, Sayora Ibraimova, Anton Nikolaev, Aigul Shongalova, Ainagul Kemelbekova, Mikhail Begunov

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DEVELOPMENT OF DATA MESH DATA PLATFORM WITH ML DOMAIN OF DATA ANALYSIS by M. Fostyak, L. Demkiv

“…All domains have their own operational data source. Each domain team builds a data product for their domain, which includes only cleaned, processed, and selected data. …”
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Prioritized Text Detergent: Comparing Two Judgment Scales of Analytic Hierarchy Process on Prioritizing Pre-Processing Techniques on Social Media Sentiment Analysis by Ummu Hani’ Hair Zaki, Roliana Ibrahim, Shahliza Abd Halim, Izyan Izzati Kamsani

“…Since over 50% of the sentiment analysis process is data pre-processing, processing big social media data is challenging too. …”
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Design of Privacy Preservation Model for Data Stream Using Condensation Based Anonymization by Latha P, Thangaraj M

“…The condensation method minimizes lost information throughout the anonymization process in an effort to maintain the statistical features of the data. …”
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High-performance sentiment classification of product reviews using GPU(parallel)-optimized ensembled methods by Annaluri Sreenivasa Rao, Yeruva Jaipal Reddy, Guggilam Navya, Neelima Gurrapu, Jala Jeevan, M. Sridhar, Desidi Narasimha Reddy, Siva Kumar Pathuri, Dama Anand

“…Sentiment analysis is an important approach in natural language processing (NLP) that extracts information from text to infer underlying emotions or views. …”
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Comparison of Deep Learning Sentiment Analysis Methods, Including LSTM and Machine Learning by Jean Max T. Habib, A. A. Poguda

“…The purpose of the study is to evaluate certain machine learning models in data processing based on speed and efficiency related to the analysis of sentiment or consumer opinions in business intelligence. …”
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Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting by Hui-Dong Yin, Yi-Yang Li

“…This study addresses the forecasting of soybean oil prices in China’s wholesale markets by developing a Bayesian-optimized Multi-Task Gaussian Process Regression (MTGPR) framework. Traditional econometric models and machine learning approaches often struggle with non-stationary data and uncertainty quantification, while existing Gaussian process applications in agricultural markets remain underexplored. …”
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DART-Vetter: A Deep Learning Tool for Automatic Triage of Exoplanet Candidates by Stefano Fiscale, Laura Inno, Alessandra Rotundi, Angelo Ciaramella, Alessio Ferone, Christian Magliano, Luca Cacciapuoti, Veselin Kostov, Elisa V. Quintana, Giovanni Covone, Maria Teresa Muscari Tomajoli, Vito Saggese, Luca Tonietti, Antonio Vanzanella, Vincenzo Della Corte

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Unification of approaches to assessing the quality and functional and technological properties of protein-containing products from processing legume raw materials by L. N. Rozhdestvenskaya, I. O. Lomovsky, O. V. Chugunova

“…The systematization was based on the most reliable and relevant articles of the last five years, which described in detail the features of the research methods used. The result of the work is a list of quality indicators and analysis methods that determine the duality in the use of PCPPLRM. …”
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