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621
Two-stage denoising method for complex underground tunnel scene three-dimensional point clouds
Published 2025-06-01“…This results in a complete point cloud post-denoising. The method is implemented through secondary development based on the open-source software Cloud Compare. …”
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622
Fast Catalog Matching for Improved Posteriors via Constrained Clustering
Published 2025-01-01“…Our new approach uses constrained clustering, specifically COP-KMeans, to provide near-optimal solutions in a fraction of the time of previous methods. …”
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623
Environmental and health impacts of selected artificial sweeteners: Effectiveness of treatment methods and innovative approaches for mitigation
Published 2025-07-01“…These methods emphasize sustainability by using renewable energy sources, optimizing operational parameters, and implementing effective waste management strategies. …”
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624
Using machine learning methods for long-term technical and economic evaluation of wind power plants
Published 2025-03-01Get full text
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625
Caesarean section versus vaginal birth in the perception of woman who gave birth by both methods
Published 2021-04-01Get full text
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626
Societal attitudes and structural barriers in coaching para-athletes: A mixed-methods systematic review.
Published 2025-01-01“…A mixed-methods approach was employed to synthesize data from 26 studies sourced from PubMed, Web of Science, SPORTDiscus, and Google Scholar. …”
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627
Exploring the product costing methods of micro foodservice businesses in Pagadian city: a case study
Published 2025-04-01“…This study explores the product costing methods employed by micro foodservice businesses in Pagadian City, focusing on how owners navigate operational challenges, financial constraints, and market competition. …”
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628
Knowledge Discovery Using Clustering Methods in Medical Database: A Case Study for Reflux Disease
Published 2021-04-01“…An increasing amount of data leads us to use the data and get the advantage of it by using methods like Data mining. Data mining is used in several industries. …”
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629
A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023
Published 2024-01-01“…Many researchers have proposed numerous methods and worked in the area of AD. Multiple anomalies and considerable intraclass variation make industrial datasets tough. …”
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630
Effective spectral pre-processing methods enhance accuracy of soil property prediction by NIR spectroscopy
Published 2025-08-01“…These findings highlight that NIR spectroscopy, even with a limited spectral range (950–1650 nm), can provide reliable estimates of soil properties when combined with suitable pre-processing methods.…”
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631
Risk Factors, Etiology, Pathology, and Diagnostic Methods for Acute Kidney Injury: A Review Study
Published 2022-11-01“…This review summarizes our knowledge of AKI risk factors, pathogenesis, prediction, diagnosis, and emerging management approaches. Methods: A comprehensive literature search was conducted to summarize current knowledge on AKI. …”
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632
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633
Low-Carbon Dispatch Method for Active Distribution Network Based on Carbon Emission Flow Theory
Published 2024-11-01“…This model aims to achieve accurate carbon measurement across all operational aspects of distribution networks, reduce their carbon emissions through controlling unit operations, and ensure stable and safe operation. First, we propose a method for measuring carbon emission intensity on the source and network sides of active distribution networks with network losses, allowing for the calculation of total carbon emissions throughout the operation of networks and their equipment. …”
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634
A novel graph modeling method for GNN-based hypersonic aircraft flow field reconstruction
Published 2024-12-01“…These sparse graphs are then integrated with learnable weights optimized by automatic differentiation. Our method has been tested on an open-source turbulence dataset, the two components of graph pruning and weight optimization bring about 34% and 10% improvements on average. …”
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635
Distributed PV hosting capacity assessment method for distribution network considering planning of flexible resource
Published 2025-02-01“…Firstly, based on the traditional multi-scenario construction method, the concept of time-sequence correlation is introduced establish the joint scenario set of source and load considering time sequence autocorrelation and cross-correlation. …”
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636
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637
POSSIBILITIES AND APPROACHES OF TEACHING OF HISTORY OF RUSSIA TO UNIVERSITY STUDENTS (THROUGH THE EXAMPLE OF HISTORICAL MATERIALS ON THE AGRARIAN QUESTION AND OF THE RUSSIAN SOCI...
Published 2015-06-01“…The purpose of the study is to optimize the methods of its presentation, identification and comprehensive assessment of the academic aspects of this topic, justifying their role and importance for the quality of learning. …”
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638
SYSTEMATIC ANALYSIS OF PERSPECTIVE TRENDS IN ECOLOGICAL AND BIOLOGICAL STUDIES OF THE CASPIAN SEA
Published 2016-03-01“…Analysis and mathematical processing of published literature sources has convincingly demonstrated the need for international cooperation to optimize the ecological and biological research. …”
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639
Big data classification method of non relational distributed submission information under differentiated requirements
Published 2023-06-01“…The classification method of non-relational distributed submitted information big data under the differentiated demand was studied, aiming at the problem of multi-source heterogeneous, widely distributed submitted information with more differentiated application requirements and inability to distinguish the available information.Firstly, the usability, openness and expansibility of the non-relational distributed submission information database were analyzed.The unstructured database storage TRIP was used to store non-relational distributed submission information by combining the basic requirements of field types.Then, the hashing process within the Hamming hash family was analyzed.Under the constraint of linearity level requirements, cellular automata with multiple attractors were used to optimize the system.The optimal parameters of the multiple attractor cellular automata classifier were improved through genetic algorithm, thus improving the big data classification method.Experimental results show that this method can effectively identify and classify structured data and unstructured data in non relational distributed submission information, and has high classification accuracy.…”
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640