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Relevant bibliographies by topics / Randic index

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Academic literature on the topic 'Randic index'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Randic index"

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Litta, Dr E. "Proper Colorings in R-Regular Randic Index Graphs." International Journal for Research in Applied Science and Engineering Technology 12, no. 2 (2024): 1603–7. http://dx.doi.org/10.22214/ijraset.2024.58636.

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Abstract: The new idea of proper colourings in the r-regular Randic index graph has been proposed in this paper. New Chromatic number inequalities connected to the Randic index are established in this paper.

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Li, Yingfang, Li Yan, Muhammad Kamran Jamil, Mohammad Reza Farahani, Wei Gao, and Jia-Bao Liu. "Four New/Old Vertex-Degree-Based Topological Indices of HAC5C7[p, q] and HAC5C6C7[p, q] Nanotubes." Journal of Computational and Theoretical Nanoscience 14, no. 1 (2017): 796–99. http://dx.doi.org/10.1166/jctn.2017.6275.

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Recently, Gutman et al. presented some vertex-degree based topological indices, that earlier have been considered in the chemical and/or mathematical literature, but, evaded the attention of most mathematical chemists. These are the reciprocal Randic index (RR), the reduced reciprocal Randic index (RRR), the reduced second Zagreb index (RM2) and the forgotten index (F). In this paper, we compute these topological indices of HAC5C7[p, q] and HAC5C6C7[p, q] nanotubes.

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Saleem, Hafsa, Mohamad Nazri Husin, Shahbaz Ali, Muhammad Shazib Hameed, and Zaheer Ahmad. "Topology of Edge Contracted Möbius Ladder: Indices and Dimension." Malaysian Journal of Fundamental and Applied Sciences 20, no. 4 (2024): 739–58. http://dx.doi.org/10.11113/mjfas.v20n4.3386.

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Assigning numbers to graphs serves as a fundamental tool in graph theory and enables various analytical, computational, and visualization techniques for studying and understanding graph structures and properties. Edge Contraction is a process that separates edges from the graph while also joining the two previously linked vertices. In this paper, we study metric dimension and degree-based topological indices of Möbius Ladder and edge contracted Möbius Ladder like first Zagreb index, second Zagreb index, first Zagreb Hyper index, second Zagreb Hyper index, Augmented Zagreb index, Randic index,

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Husin, Nor, Roslan Hasni, Zhibin Du, and Akbar Ali. "More results on extremum Randic indices of (molecular) trees." Filomat 32, no. 10 (2018): 3581–90. http://dx.doi.org/10.2298/fil1810581h.

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The Randic index R(G) of a graph G is the sum of the weights (dudv)-1/2 of all edges uv in G, where du denotes the degree of vertex u. Du and Zhou [On Randic indices of trees, unicyclic graphs, and bicyclic graphs, Int. J. Quantum Chem. 111 (2011), 2760-2770] determined the n-vertex trees with the third for n ? 7, the fourth for n ? 10, the fifth and the sixth for n ? 11 maximum Randic indices. Recently, Li et al. [The Randic indices of trees, unicyclic graphs and bicyclic graphs, Ars Comb. 127 (2016), 409-419] obtained the n-vertex trees with the seventh, the eighth, the ninth and the tenth f

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Sridhara, G., M. R. Rajesh Kanna, and R. S. Indumathi. "Computation of Topological Indices of Graphene." Journal of Nanomaterials 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/969348.

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Agustin, Ika Hesti, A. S. Maragadam, Dafik, V. Lokesha, and M. Manjunath. "Semi-Total Point Graph of Neighbourhood Edge Corona Graph of G and H." European Journal of Pure and Applied Mathematics 16, no. 2 (2023): 1094–109. http://dx.doi.org/10.29020/nybg.ejpam.v16i2.4513.

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A topological index is a function having a set of graphs as its domain and a set of real numbers as its range. Here we concentrated on topological indices involving the number of vertices, the number of edges and the maximum and minimum vertex degree. The aim of this paper is to compute the lower and upper bounds of the second Zagreb index, third Zagreb index, Hyper Zagreb index, Harmonic index, Redefined first Zagreb index, First reformulated Zagreb index, Forgotten topological index, square F-index, Sum-connectivity index, Randic index, Reciprocal Randic index, Gourava index, Sombar index, N

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Das, Kinkar, Selvaraj Balachandran, and Ivan Gutman. "Inverse degree, Randic index and harmonic index of graphs." Applicable Analysis and Discrete Mathematics 11, no. 2 (2017): 304–13. http://dx.doi.org/10.2298/aadm1702304d.

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Let G be a graph with vertex set V and edge set E. Let di be the degree of the vertex vi of G. The inverse degree, Randic index, and harmonic index of G are defined as ID = ?vi?V 1/di, R = ? vivj?E 1/?di dj , and H = ? vivj?E 2=(di + dj), respectively. We obtain relations between ID and R as well as between ID and H. Moreover, we prove that in the case of trees, ID > R and ID > H.

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Tomescu, Ioan, Misbah Arshad, and Muhammad Jamil. "Extremal topological indices for graphs of given connectivity." Filomat 29, no. 7 (2015): 1639–43. http://dx.doi.org/10.2298/fil1507639t.

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In this paper, we show that in the class of graphs of order n and given (vertex or edge) connectivity equal to k (or at most equal to k), 1 ? k ? n - 1, the graph Kk + (K1? Kn-k-1) is the unique graph such that zeroth-order general Randic index, general sum-connectivity index and general Randic connectivity index are maximum and general hyper-Wiener index is minimum provided ? > 1. Also, for 2-connected (or 2-edge connected) graphs and ? > 0 the unique graph minimizing these indices is the n-vertex cycle Cn.

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Arizmendi, Gerardo, and Octavio Arizmendi. "Energy of a graph and Randic index." Linear Algebra and its Applications 609 (January 2021): 332–38. http://dx.doi.org/10.1016/j.laa.2020.09.025.

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Mahsa, Hemmasi, and Iranmanesh Ali. "Some bounds on the modified Randic index." Kragujevac Journal of Science, no. 37 (2015): 79–90. http://dx.doi.org/10.5937/kgjsci1537079m.

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Dissertations / Theses on the topic "Randic index"

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Lengua, Balbi Juan Armando. "DEL VALLE RANDICH, Luis, Derecho Procesal Penal, Parte General, Lima, 1967, 329 pp." Pontificia Universidad Católica del Perú, 2015. http://repositorio.pucp.edu.pe/index/handle/123456789/115342.

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Islyaev, Suren. "Stochastic models with random parameters for financial markets." Thesis, Brunel University, 2014. http://bura.brunel.ac.uk/handle/2438/10344.

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The aim of this thesis is a development of a new class of financial models with random parameters, which are computationally efficient and have the same level of performance as existing ones. In particular, this research is threefold. I have studied the evolution of storable commodity and commodity futures prices in time using a new random parameter model coupled with a Kalman filter. Such a combination allows one to forecast arbitrage-free futures prices and commodity spot prices one step ahead. Another direction of my research is a new volatility model, where the volatility is a random varia

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Rivasplata, Zevallos Omar, and Byron Schmuland. "Invariant and reversible measures for random walks on Z." Pontificia Universidad Católica del Perú, 2014. http://repositorio.pucp.edu.pe/index/handle/123456789/95643.

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In this expository paper we study the stationary measures of a stochastic process called nearest neighbor random walk on Z, and further we describe conditions for these measures to have the stronger property of reversibility. We consider both the cases of symmetric and non-symmetric random walk.

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Mok, Debby M. Y. "Intraday random walk and price reversals in Hang Seng index futures and S&P 500 futures." HKBU Institutional Repository, 2000. http://repository.hkbu.edu.hk/etd_ra/232.

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Kavuri, Kranthi. "Investigation of the validity of the ASTM standard for computation of International Friction Index." [Tampa, Fla] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002780.

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KONDO, TAKAAKI, AKIKO KIMATA, KANAMI YAMAMOTO, et al. "MULTILEVEL ANALYSES OF EFFECTS OF VARIATION IN BODY MASS INDEX ON SERUM LIPID CONCENTRATIONS IN MIDDLE-AGED JAPANESE MEN." Nagoya University School of Medicine, 2009. http://hdl.handle.net/2237/11333.

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Jiang, Huiquan. "Incorporating Climate Sensitivity for Eastern United States Tree Species into the Forest Vegetation Simulator." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/75220.

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Detecting climate-induced effects in forest ecosystems become increasingly important as more evidence of greenhouse-gas-related climate change were founded. The Forest Vegetation Simulator (FVS) is an important growth and yield model used to support management and planning on public forest lands over the southern United States, however its prediction accuracy was challenged due to its climate- insensitive nature. The goal of this study was to develop species-specific prediction models for eastern U.S. forest tree species with climate and soil properties as predictors in order to incorporate t

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Iguíñiz, Echeverria Javier María. "Sachs, Jeffrey. El fin de la pobreza. Cómo conseguirlo en nuestro tiempo. Madrid: Random House Mondadori-Debate abierto. 2005, 549 pp." Economía, 2012. http://repositorio.pucp.edu.pe/index/handle/123456789/118088.

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Theopold, Adrian Pit [Verfasser], Mathias [Akademischer Betreuer] Vetter, and Viktor [Gutachter] Todorov. "Estimation of the Jump Activity Index in the Presence of Random Observation Times / Adrian Pit Theopold ; Gutachter: Viktor Todorov ; Betreuer: Mathias Vetter." Kiel : Universitätsbibliothek Kiel, 2019. http://d-nb.info/1225741386/34.

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Beltrán, Johel. "Medida aleatoria de Poisson." Pontificia Universidad Católica del Perú, 2014. http://repositorio.pucp.edu.pe/index/handle/123456789/96813.

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In this monograph we continue with the inspection initiated in [1] on the fundamental tools introduced in the approach proposed in [2,3] for the study of metastability. We give the definition of the Poisson random measures and prove the main properties that we will subsequently use to construct Markov processes with finite state space. Such construction will allow us to provide a probabilistic proof of the fact that the law of a Markov process solves the martingal problem.<br>En esta monografía continuamos con el desarrollo iniciado en [1] sobre las herramientas fundamentales usadas en el abor

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Book chapters on the topic "Randic index"

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Singh, Monika, Harish Dureja, and A. K. Madan. "Randic Index and Its Variants: Applications." In New Frontiers in Nanochemistry. Apple Academic Press, 2020. http://dx.doi.org/10.1201/9780429022944-33.

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Čhuešhov, Igor. "Index." In Monotone Random Systems Theory and Applications. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-540-45815-9_9.

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Benoist, Yves, and Jean-François Quint. "Finite Index Subsemigroups." In Random Walks on Reductive Groups. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47721-3_5.

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Cheng, Jing, Ziyao He, Zhong Liu, and Lei Zhang. "Slope Reliability Analysis Based on Nonlinear Stochastic Finite Element Method." In Advances in Frontier Research on Engineering Structures. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8657-4_30.

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AbstractIn slope stability reliability analysis, the deterministic analysis method is usually used to calculate the safety factor to measure the stability of the slope, but the traditional deterministic analysis method cannot fully consider and describe the natural spatial variability of soil, which leads to the failure probability calculation of the slope is not accurate enough. Aiming at the problem of spatial variability of soil mechanical parameters in slope stability analysis, this paper proposes a stochastic finite element method for calculating the distribution of FS (factor of safety)

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Nguyen, An Pham Ngoc, Martin Crane, and Marija Bezbradica. "Cryptocurrency Volatility Index: An Efficient Way to Predict the Future CVI." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_28.

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AbstractThe Cryptocurrency Volatility Index (CVI index) has been introduced to estimate the 30-day future volatility of the cryptocurrency market. In this article, we introduce a new Deep Neural Network with an attention mechanism to forecast future values of this index. We then look at the stability and performance of our proposed model against the benchmark models widely used for time series prediction. The results show that our proposed model performs well when compared to popular methods such as traditional Long Short Term Memory, Temporal Convolution Network, and other statistical methods

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Halevi, Shai, and Eyal Kushilevitz. "Random-Index Oblivious RAM." In Theory of Cryptography. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-22368-6_2.

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Li, Bingjun, and Weijun Liu. "The Smallest Randić Index for Trees." In Web Information Systems and Mining. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33469-6_2.

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"Index." In Random Data. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118032428.index.

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"Index." In Random Graphs. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118032718.index.

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"Index." In Random Vibration. John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118931158.index.

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Conference papers on the topic "Randic index"

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Patil, Neha Rajas, Amruta Amune, Ishan Shivankar, et al. "Air Quality Index Prediction Model Utilizing Random Forest and NodeMCU." In 2024 IEEE 4th International Conference on ICT in Business Industry & Government (ICTBIG). IEEE, 2024. https://doi.org/10.1109/ictbig64922.2024.10911414.

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Tovar, Pedro, та Jean Pierre von der Weid. "Φ-OTDR model for arbitrary laser linewidth and pulse duration based on fiber frozen-in stress". У CLEO: Applications and Technology. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_at.2024.atu3a.3.

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We propose a new theoretical model for Φ-OTDR, accurately representing traces for arbitrary pulse widths and laser linewidths. Local refractive index fluctuations are modeled from frozen-in stress in fibers, causing random variations of 10 − 7.

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Walia, Abhishek, Ajay Paliwal, Sanjay Patidar, and Rakeshkumar Mahto. "Prediction of Air Quality Index Using Random Forest and Prophet Tool." In 2024 19th Annual System of Systems Engineering Conference (SoSE). IEEE, 2024. http://dx.doi.org/10.1109/sose62659.2024.10620972.

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Huo, Hongying. "Multi-Index Decision Analysis Method Based on TOPSIS and Random Forest Model." In 2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE). IEEE, 2024. http://dx.doi.org/10.1109/cisce62493.2024.10653304.

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Pescol, Francesca, Pietro Bosoni, Stefania Ghilotti, et al. "Temporal Characterization of Glycemia Risk Index Sequences through Random Walk Bayesian Clustering." In 2025 IEEE 13th International Conference on Healthcare Informatics (ICHI). IEEE, 2025. https://doi.org/10.1109/ichi64645.2025.00037.

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Gök, Gülistan Kaya, and Serife Büyükköse. "Graph operations of Randic index." In 6TH INTERNATIONAL EURASIAN CONFERENCE ON MATHEMATICAL SCIENCES AND APPLICATIONS (IECMSA-2017). Author(s), 2018. http://dx.doi.org/10.1063/1.5020470.

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Thamilisai, A., A. Shobana, and V. M. Revathi. "Randic index in various graphs." In INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES AND APPLICATIONS (ICSTA 2022). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0172441.

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Arunkumar, B. R., and Kavya L. Hegde. "Topological analysisof K-connected MANETs using connectivity index, randic and euclidian energy." In 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). IEEE, 2016. http://dx.doi.org/10.1109/rteict.2016.7808205.

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Foca, E., J. Carstensen, H. Föll, et al. "Negative index materials based on rods with refractive index profile." In Photonic Metamaterials: From Random to Periodic. OSA, 2007. http://dx.doi.org/10.1364/meta.2007.tub34.

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Maimistov, Andrei I., Natalia M. Litchinitser, and Ildar R. Gabitov. "Negative Index Waveguide Arrays." In Photonic Metamaterials: From Random to Periodic. OSA, 2007. http://dx.doi.org/10.1364/meta.2007.tub9.

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Reports on the topic "Randic index"

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Maloney, Megan, Sarah Becker, Andrew Griffin, Susan Lyon, and Kristofer Lasko. Automated built-up infrastructure land cover extraction using index ensembles with machine learning, automated training data, and red band texture layers. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49370.

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Automated built-up infrastructure classification is a global need for planning. However, individual indices have weaknesses, including spectral confusion with bare ground, and computational requirements for deep learning are intensive. We present a computationally lightweight method to classify built-up infrastructure. We use an ensemble of spectral indices and a novel red-band texture layer with global thresholds determined from 12 diverse sites (two seasonally varied images per site). Multiple spectral indexes were evaluated using Sentinel-2 imagery. Our texture metric uses the red band to s

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Hernandez Vega, Marco A., and Eduardo Martínez González. Do climate policies incentivize firms to commit to setting a GHG emissions target? Banco de México, 2025. https://doi.org/10.36095/banxico/di.2025.08.

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Since the 2016 Paris Agreement, countries and companies have been increasingly pressured to adopt appropriate response measures to climate change. However, it is not clear what factors drive firms to undertake climate change actions. Using a correlated random effects panel probit model, this paper contributes to the literature by analyzing the influence of advances in climate policies, as measured by the Climate Change Performance Index, on firms committing to set a greenhouse gas (GHG) emissions target. We find that advances in national climate policies are associated with a higher probabilit

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ทัศนาขจร, อัญชลี. การศึกษาความแตกต่างแปรผันทางพันธุกรรมในประชากรกุ้งกุลาดำ โดยการตรวจลายพิมพ์ดีเอ็นเอ ด้วยตัวตรวจสอบที่มีลำดับเบสซ้ำแบบง่าย : รายงานวิจัยฉบับสมบูรณ์. จุฬาลงกรณ์์มหาวิทยาลัย, 1997. https://doi.org/10.58837/chula.res.1997.19.

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ในการศึกษาความแตกต่างแปรผันทางพันธุกรรมในประชากรกุ้งกุลาดำ ได้ทดสอบวิธีการตรวจลายพิมพ์ดีเอ็นเอในกุ้งกุลาดำและได้เลือก 2 วิธี เพื่อใช้ในการศึกษาความแตกต่างแปรผันทางพันธุกรรม คือ 1. การตรวจลายพิมพ์ดีเอ็นเอ โดยเทคนิค RAPD (Random Amplified Polymorphic DNA analysis) และ 2. การตรวจความแปรผันของ microsatellites DNA ในการศึกษานี้ได้เก็บตัวอย่างกุ้งจากแหล่งที่นิยมใช้เป็นพ่อ-แม่พันธุ์ในการเพาะเลี้ยงกุ้ง จำนวน 5 แหล่ง โดยเก็บตัวอย่างจากทะเลอันดามัน 3 แหล่ง ได้แก่ กุ้งบริเวณ จ. สตูล-ตรัง กุ้งจากจ. พังงา และกุ้งจากเมดาน ประเทศอินโดนีเซีย และเก็บตัวอย่างกุ้งจากฝั่งอ่าวไทย 2 แหล่ง ได้แก่ กุ้งจาก จ. ตราด และ

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Derbentsev, V., A. Ganchuk, and Володимир Миколайович Соловйов. Cross correlations and multifractal properties of Ukraine stock market. Politecnico di Torino, 2006. http://dx.doi.org/10.31812/0564/1117.

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Recently the statistical characterizations of ﬁnancial markets based on physics concepts and methods attract considerable attentions. The correlation matrix formalism and concept of multifractality are used to study temporal aspects of the Ukraine Stock Market evolution. Random matrix theory (RMT) is carried out using daily returns of 431 stocks extracted from database time series of prices the First Stock Trade System index (www.kinto.com) for the ten-year period 1997-2006. We ﬁnd that a majority of the eigenvalues of C fall within the RMT bounds for the eigenvalues of random correlation matr

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Lasko, Kristofer, Francis O’Neill, and Elena Sava. Automated mapping of land cover type within international heterogenous landscapes using Sentinel-2 imagery with ancillary geospatial data. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49367.

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A near-global framework for automated training data generation and land cover classification using shallow machine learning with low-density time series imagery does not exist. This study presents a methodology to map nine-class, six-class, and five-class land cover using two dates of a Sentinel-2 granule across seven international sites. The approach uses a series of spectral, textural, and distance decision functions combined with modified ancillary layers to create binary masks from which to generate a balanced set of training data applied to a random forest classifier. For the land cover m

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