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Solution Approach to the Minimum Spanning Tree Problem in Tsukamoto Fuzzy and Fermantean Fuzzy Environments
Published 2024-11-01Get full text
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A novel graph modeling method for GNN-based hypersonic aircraft flow field reconstruction
Published 2024-12-01Get full text
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A Novel Green Logistics Technique for Planning Merchandise Deliveries: A Case Study
Published 2022-08-01Get full text
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PENINGKATKAN PRESTASI BELAJAR AKUNTANSI DENGAN TEKNIK BIMBINGAN SELF CONTRACTING AND SELF REINFORCEMENT
Published 2013-06-01“…<p align="center"><em><span>The objective of the study was to improve students’ learnig achievement to complete the Accounting cycle at service companies through the guidance techniques of self- contracting and self reinforcement on the 1<sup>st</sup> semester students of XI PE 3class in SMK Negeri 1 Pemalang in the academic year of 2011/2012. …”
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Practical guidelines for reproducible N<sub>2</sub>O flux chamber measurements in nutrient-poor ecosystems
Published 2025-07-01Get full text
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The Volatility Forecasting Power of Financial Network Analysis
Published 2020-01-01Get full text
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Use of Principal Coordinate Analysis for Measuring GE Interactions in Rain-Fed Durum Wheat Genotypes
Published 2019-03-01“…For each cycle, both scatter point diagram and minimum spanning tree plot were drawn. The identified most stable genotypes with dynamic stability concept and based on the minimum spanning tree plots and centroid distances were G12 (3342 kg ha-1), G10 (3470.3 kg ha-1), G5 (3203.0 kg ha-1), and G1 (3263.5 kg ha-1), and therefore could be recommended for unfavorable or poor conditions. …”
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A Progressive Clustering Approach for Buildings Using MST and SOM with Feature Factors
Published 2025-02-01Get full text
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Herding unmasked: Insights into cryptocurrencies, stocks and US ETFs.
Published 2025-01-01“…Subsequently, the same experiment is implemented on a combination of all three investment vehicles. For a deeper investigation, we adopt graph-based techniques including the Minimum Spanning Tree and Louvain community detection to partition the combination into smaller subsets to detect herding behavior for each subset. …”
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Deep Learning-Based GNSS-R Global Vegetation Water Content: Dataset, Estimation, and Uncertainty
Published 2025-01-01“…We introduce a triplet dataset, which consists of measurements from the cyclone GNSS, global land data assimilation system, and soil moisture active passive, spanning over three years. Validation is performed using several benchmark models with the proposed dataset. …”
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Spatial and temporal variabilities in land surface temperatures and near-surface air temperatures in an arid to semiarid urban region: implications for urban heat island research
Published 2024-11-01“…In this study, we conducted a comprehensive analysis of LST and TAIR, covering day and night and spanning all four seasons of a full year. We used global datasets and applied non-spatial and spatial analysis techniques in the Amman-Zarqa urban region, a typical arid to semiarid environment. …”
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Comparative study of SPI and SPEI drought indices for meteorological drought assessment in Mauritius
Published 2025-04-01“…The study utilised monthly averaged rainfall, maximum and minimum temperature data from six meteorological stations spanning 1971–2017. …”
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