Relevant bibliographies by topics / Bi-plot

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Bi-plot'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Bi-plot"

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Jeong, Hyeong Chul. "Bi-plot Comparison by Scaling in Redundancy Analysis." Korean Data Analysis Society 25, no. 3 (2023): 913–22. http://dx.doi.org/10.37727/jkdas.2023.25.3.913.

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This paper examines redundancy analysis, a highly useful technique for analyzing species-abundance-environment data in ecology, often used in conjunction with canonical correspondence analysis. Redundancy analysis evaluates the influence of environmental variables on species by performing principal component analysis on the results of regression analysis for species-abundance data. However, the scaling of site scores and species scores can lead to different results. Therefore, in this study, we introduce various scaling methods for redundancy analysis and investigate how the bi-plot changes ac
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C Nwachukwu, Emmanuel. "Multilocational evaluation of white yam genotypes using gge bi-plot methodology." Global Journal of Agricultural Sciences 12, no. 2 (2023): 117–19. http://dx.doi.org/10.4314/gjass.v12i2.14.

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Yams are Cultivated in diverse agroecologies and there is evidence of strong genotype and environment interaction. This has necessitated the evaluation of new yam genotypes in multi-locational trials. Five new white yam genotypes were evaluated in different locations of major yam producing areas; Umudike, Nsukka, Ubiaja, Abuja and Katsina-Ala, to test the performance and stability of these genotypes across the environments using GGE bi-plot software. The GGE bi-plot generated several graphic bi-plots which showed Umudike, Nsukka, Ubiaja and Katsina-Ala belonging to one mega- environment while
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Septian, Rizki Darmawan, Lutfi Afifah, Tatang Surjana, Nurcahyo Widyodaru Saputro, and Ultach Enri. "Identifikasi dan Efektivitas Berbagai Teknik Pengendalian Hama Baru Ulat Grayak Spodoptera frugiperda J. E. Smith pada Tanaman Jagung berbasis PHT- Biointensif." Jurnal Ilmu Pertanian Indonesia 26, no. 4 (2021): 521–29. http://dx.doi.org/10.18343/jipi.26.4.521.

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The presence of new pest Spodoptera frugperda J. E. Smith has the potential to reduce corn production, so its existence needs to be controlled. The aim of this research is to obtain control techniques that could reduce the intensity of S. frugiperda pest’s attack. The research was conducted from June to October 2020. The experiment was designed in a randomized block design (RBD) with 9 replications and 3 treatments consisting of non-control (NP), PHT-biointensive (BI), and synthetic pesticides. In BI treatment, neem leaf extract (25 mL/plot) and Beauveria bassiana (6,25 g/plot) were used. Mean
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Kumar, BM Dushyantha, AP Purushottam, P. Raghavendra, T. Vittal, KN Shubha, and R. Madhuri. "Genotype environment interaction and stability for yield and its components in advanced breeding lines of red rice (Oryza sativa L.)." Bangladesh Journal of Botany 49, no. 3 (2020): 425–35. http://dx.doi.org/10.3329/bjb.v49i3.49328.

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Effects of genotype, environment and their interaction for grain yield and yield attributing characters in 20 advanced breeding lines of rice across six environments was investigated. Yield stability and adaptability of yield performance were analyzed by Eberhart and Russel model and (GGE) bi-plot. The AMMI analysis of variance indicated that mean squares due to genotypes, location and genotype location contributed per cent 59.08, 5.79 and 21.63, respectively for total variability in grain yield per hectare. Estimates of GGE bi-plot revealed that the lines G1, G3, G11, G13, G15, G12, G16, G7 a
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Srivastava, Prakhar, and Pankaj Srivastava. "Predicting movie genre from plot summaries using Bi-LSTM network." International Journal of Swarm Intelligence 1, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijsi.2021.10037658.

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Srivastava, Prakhar, and Pankaj Srivastava. "Predicting movie genre from plot summaries using Bi-LSTM network." International Journal of Swarm Intelligence 6, no. 2 (2021): 168. http://dx.doi.org/10.1504/ijsi.2021.118610.

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Bao, Huaiwei, Xin Chen, Kecheng Lu, Chi-Wing Fu, Jean-Daniel Fekete, and Yunhai Wang. "Bi-Scale density-plot enhancement based on variance-aware filter." Computers & Graphics 127 (April 2025): 104180. https://doi.org/10.1016/j.cag.2025.104180.

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Mohan, Y. Chandra, L. Krishna, S. Sreedhar, et al. "Stability Analysis of Rice Hybrids for Grain Yield in Telangana through AMMI and GGE Bi-plot Model." International Journal of Bio-resource and Stress Management 12, no. 6 (2021): 687–95. http://dx.doi.org/10.23910/1.2021.2575.

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An investigation was carried out on fifteen rice genotypes to identify stable rice hybrids across six different agroclimatic zones in Telangana state using AMMI and GGE bi-plot analyses during July to November, 2020. Analysis of variance clearly showed that environments contributed highest (65.47%) in total sum of squares followed by genotypes×environments (21.19%) indicating very greater role played by environments and their interactions in realizing final grain yield. AMMI analysis revealed that rice hybrids viz., RNRH 39 (G6), 27P31 (G14) and RNRH 15 (G1) were recorded higher mean grain yie
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Chang, Shih-Chieh, Chan-Lin Chu, Chih-Kuang Chen, et al. "The Comparison and Interpretation of Machine-Learning Models in Post-Stroke Functional Outcome Prediction." Diagnostics 11, no. 10 (2021): 1784. http://dx.doi.org/10.3390/diagnostics11101784.

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Prediction of post-stroke functional outcomes is crucial for allocating medical resources. In this study, a total of 577 patients were enrolled in the Post-Acute Care-Cerebrovascular Disease (PAC-CVD) program, and 77 predictors were collected at admission. The outcome was whether a patient could achieve a Barthel Index (BI) score of >60 upon discharge. Eight machine-learning (ML) methods were applied, and their results were integrated by stacking method. The area under the curve (AUC) of the eight ML models ranged from 0.83 to 0.887, with random forest, stacking, logistic regression, and su
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Nwachukwu, EC. "Multilocational evaluation of white yam genotypes using GGE bi-plot methodology." Global Journal of Agricultural Sciences 13, no. 1 (2015): 7. http://dx.doi.org/10.4314/gjass.v13i1.2.

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Dissertations / Theses on the topic "Bi-plot"

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Stapleton, Tyler. "Technology and Tactics as Dimensions of Design: Explicit Representation of User Actions in the Product Design Space." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8696.

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The initial phases of the design process -- including interactions with stakeholders, ideation of concept candidates, and the selection of the best candidates --- have a large impact on the success of a project as a whole. Much of the value generated during these phases comes from the designers' exploration of the design space as they create concepts for the final solution. Unfortunately, an entire dimension of the design space is often ignored during the initial phases of the design process -- the tactics dimension. Engineers tend to emphasize the design of technology in their work, while pay
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Book chapters on the topic "Bi-plot"

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Shekhar, Shashi, and Hui Xiong. "Map, Bi-Plot." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_739.

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Box, Alison. "2D Region Plot Segments." In Introducing Charticulator for Power BI. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8076-8_5.

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Box, Alison. "The Line Plot Segment." In Introducing Charticulator for Power BI. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8076-8_16.

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Box, Alison. "Working with Multiple 2D Region Plot Segments." In Introducing Charticulator for Power BI. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8076-8_11.

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"Map, Bi-plot." In Encyclopedia of GIS. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_100729.

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Conference papers on the topic "Bi-plot"

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Kurniawati, Yenni, and Luthfia Miranda. "Bi-plot and Procrustes Analysis." In Proceedings of the 2nd International Conference on Mathematics and Mathematics Education 2018 (ICM2E 2018). Atlantis Press, 2018. http://dx.doi.org/10.2991/icm2e-18.2018.17.

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Oliveira, Ilse Franco de, Rosemar Macedo Sousa Rahal, Ruffo Freitas-Junior, et al. "Diagnostic accuracy study of magnetic resonance breast spectroscopy." In Brazilian Breast Cancer Symposium 2024. Mastology, 2024. http://dx.doi.org/10.29289/259453942024v34s1026.

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Objective: The objective of this study was to analyze the diagnostic accuracy of breast magnetic resonance spectroscopy in comparison to breast biopsy. Methodology: Diagnostic accuracy study of qualitative cross-sectional analysis to perform breast magnetic resonance spectroscopy was carried out on 215 women over 18 years of age who agreed to participate in the study. Data were verified using normalized Q-Q plot analysis and standardized residual histogram. To analyze the patients’ profile, the chi-square test, Student’s t-test, and kappa index were performed for agreement between observers. T
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Ghanbarzadeh, Soheil, Siyavash Motealleh, and Jack Jones. "RTA Workflow: A Critical Review." In SPE Conference at Oman Petroleum & Energy Show. SPE, 2024. http://dx.doi.org/10.2118/218587-ms.

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Abstract Rate Transient Analysis (RTA) software encapsulates the standard approach used to extract useful completion and reservoir parameter estimates from shale reservoir production data (rate and pressure versus time). The standard well/reservoir model used in analysis software assumes that flow from the reservoir pore volume outside of the fracture tips can be ignored and, hence, the model exhibits two main flow regimes in the well response. The first of these is the formation linear flow regime which can be analyzed using a ‘linear flow analysis’ plot to obtain an estimate of A*k1/2. Here,
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Aranguren-Silva, C. F., X. Bao, D. Becerra-Rondon, and R. Aguilera. "Multiple Sweet Spot Detection in Shales Using a Hybrid Data-Driven Machine Learning Technique." In SPE Canadian Energy Technology Conference and Exhibition. SPE, 2025. https://doi.org/10.2118/224007-ms.

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Abstract The objective of this study is to develop a hybrid data-driven machine learning (ML) technique, the XGBoost-MLP, capable of identifying multiple sweet spots defined in this paper as "source rocks simultaneously characterized by suitable values of brittleness index (BI), permeability (k), porosity (ϕ), oil saturation (So), and bulk volume water (BVW). The multiple sweet spots allow to attain commercial production through horizontal wells which are hydraulically fractured in multiple stages." In the proposed method, the BI is determined based on mineralogical data. The ML training is pe
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Oliveira, Ilse Franco de, Rosemar Macedo Sousa Rahal, Ruffo Freitas-Junior, et al. "The diffusion sequence by magnetic resonance in the diagnosis of breast cancer: an analysis of accuracy." In Brazilian Breast Cancer Symposium 2024. Mastology, 2024. http://dx.doi.org/10.29289/259453942024v34s1010.

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Objective: The objective of this study was to evaluate the accuracy of diffusion-weighted magnetic resonance imaging in diagnosing breast cancer compared with breast biopsy. Methodology: Diagnostic accuracy study of qualitative cross- -sectional analysis to perform breast magnetic resonance spectroscopy carried out on 215 women over 18 years of age who agreed to participate in the study. Data were verified using normalized QQ plot analysis and standardized residual histogram. The distribution of the patients’ profile according to the biopsy result was tested using the chi-square test and Stude
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Ogunbadejo, A. S., A. McDonald, and S. Chandra. "Flame-Sprayed NiCoCrAlTaY Coatings as Damage Detection Sensors." In ITSC2022. DVS Media GmbH, 2022. http://dx.doi.org/10.31399/asm.cp.itsc2022p0565.

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Abstract The piezoresistivity of flame-sprayed NiCoCrAlTaY on an electrically insulated surface of a steel substrate was investigated through cyclic extension and compression cycles between 0 and 0.4 mm for 1000 cycles and uniaxial tensile test. The sprayed NiCoCrAlTaY was in grid form with grid thickness of 3 mm and grid length of 30 mm while the electrical insulation was fabricated by flame spraying alumina on the surface of the steel. During mechanical loading, instantaneous electrical resistance measurements were conducted to evaluate the corresponding relative resistance change. Images of
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