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18 articles for “Cluster Coefficient”
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Research ArticleOpen accessIn the keywordsINTELLISENSE CLUSTER MANAGEMENT AND ENERGY EFFICIENT ROUTING IN MOBILE AD HOC NETWORKSSangeetha Kuppusamy, Natarajan MathaiyanMobile Ad Hoc Network (MANET) is a collection of distributed nodes which communicate using multi-hop wireless links with frequent node mobility. The aim for ad hoc networks is to accommodate light-weight weight, battery supercharged transportable devices. Due to the restricted power, we've to vogue economical ways in which to use the current power. For a networking device, vital power is … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 6,367 accessesView PDFCite
Research ArticleOpen accessIn the abstractEcological Function Evaluation of Soil and Water Conservation Measures for Power Transmission and Transformation Project Construction Based on Remote Sensing and it’s Improvement PathYang Han, Songsong Wang, Yanhui Yang et al.Assessing ecological functions is critical for determining the efficacy of soil and water conservation measures, especially during the development of power transmission and transformation projects. Efficient conservation practices are essential for reducing ecological effects and guaranteeing sustainable development. This research aims to create a resilient model, Ecological Function Prediction for Conservation Effectiveness (EFP-CE) that will classify conservation effectiveness as either … …American Journal of Engineering and Applied Sciences, Vol. 18, Issue 1 · 17 Mar 2025 · 7,725 accessesView PDFCite
Research ArticleOpen accessIn the abstractBotanical Composition and Yields of Forages in Natural Pastures Using Principal Component Analysis and Cluster Dendrogram in South Sulawesi, IndonesiaPurnama Isti Khaerani, Yunus Musa, Renny Fatmyah Utamy, Yasuyuki IshiiThis study aims to identify the composition and yields of forages in natural pastures using principal component analysis and cluster dendrogram in Gilireng and Majauleng subdistricts, Wajo regency, South Sulawesi, Indonesia. Pasture plants were collected using 20 randomly sampled quadrats to observe the botanical composition and yields of forages. The collected data regarding legume classification is analyzed by Multivariate Analysis … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 13 Jun 2024 · 5,082 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Genetic Diversity among Elite Breeding Lines of Arabica Coffee (Coffea arabica L.) in Ethiopia using Simple Sequence Repeats MarkersTadesse Benti, Endale Gebre, Kassahun Tesfaye et al.Despite being the center of origin and genetic diversity, there has beenlimited application of molecular markers in arabica coffee breeding inEthiopia. In this study, the extent of genetic diversity and relationships of48 elite breeding lines of arabica coffee from different geographical originswere evaluated using 14 SSR markers. The SSR markers amplified 105 alleles ofwhich 104 are polymorphic with an average … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 4 · 25 Nov 2022 · 6,009 accessesView PDFCite
Research ArticleOpen accessIn the abstractPhylogenetic of ERIC-DNA Fingerprinting and New Sequencing of Aeromonas Species and V. Cholerae DNAHawraa Natiq Kabroot AL-Fatlawy, Hawraa Abdalameer Aldahhan, Ali Hmood AlsaadiThe current study included 44 isolate of A. hydrophila, A. sobria and V. cholerae and other bacteria isolated from stool samples and environmental samples (Kufa river water and hospital environmental samples). ERIC DNA Fingerprinting with ERIC primers pairs generated distinct amplification bands ranging in size from (87 bp to 8000 kb). The 44 isolates produced 93 different patterns by ERIC … …American Journal of Applied Sciences, Vol. 14, Issue 10 · 5 May 2017 · 7,801 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Characterization of Small Mammal Communities in Forest-Steppe and Steppe Landscapes of the South of Western and Central SiberiaZarina Mukhtarovna Sergazinova, Alexander Vladimirovich Makarov, Aliya Toleuzhanovna Toleuzhanova et al.This study analyzes the fauna, population, and distribution patterns of small mammals of forest-steppe and steppe landscapes of the south of Western and Central Siberia for the period between 1998 and 2021 on the basis of literature data and authors' own materials. Most of these studies were local in nature, while our work is characterized by a generalizing and comparative … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 4 Dec 2024 · 4,549 accessesView PDFCite
Research ArticleOpen accessIn the abstractFractional Lion Algorithm-An Optimization Algorithm for Data ClusteringSatish Chander, P. Vijaya, Praveen DhyaniClustering divides the data available as bulk into meaningful, useful groups (Clusters) without any prior knowledge about the data. Cluster analysis provides an abstraction from individual data objects to the clusters in which those objects reside. It is a key technique in the data mining and has become an important issue in many fields. This paper presents a novel Fractional … …Journal of Computer Science, Vol. 12, Issue 7 · 12 Aug 2016 · 7,673 accessesView PDFCite
Research ArticleOpen accessIn the abstractHeterogeneities and Intra Sand-Body Compartmentalization in Late Oligocene Delta-Front Deposit, Niger Delta, NigeriaRaphael Oaikhena Oyanyan, Michael Ndubuisi OtiThis paper presents the study of the heterogeneity in lithofacies, porosity, permeability, mineral grain density, pore-throats sizes and hydraulic rock types and the intra sand-body compartmentalization in cored delta-front deposit of Greater Ughelli depobelt of Niger Delta. Sedimentological study of core samples results in the identification of nine lithofacies and the interpretation of environments of deposition as mainly proximal and … …Current Research in Geoscience, Vol. 6, Issue 1 · 28 Mar 2016 · 8,090 accessesView PDFCite
Research ArticleOpen accessIn the abstractBRAIN TUMOR CLASSIFICATION BASED ON CLUSTERED DISCRETE COSINE TRANSFORM IN COMPRESSED DOMAINV. Anitha, S. MurugavalliThis study presents a novel method to classify the brain tumors by means of efficient and integrated methods so as to increase the classification accuracy. In conventional systems, the problem being the same to extract the feature sets from the database and classify tumors based on the features sets. The main idea in plethora of earlier researches related to any … …Journal of Computer Science, Vol. 10, Issue 10 · 6 May 2014 · 7,532 accessesView PDFCite
Research ArticleOpen accessIn the abstractGENETIC DIVERSITY OF OKRA (ABELMOSCHUS ESCULENTUS L.) GENOTYPES FROM DIFFERENT AGRO-ECOLOGICAL REGIONS REVEALED BY AMPLIFIED FRAGMENT LENGTH POLYMORPHISM ANALYSISNaser M. SalamehThis study was carried out to assess the genetic diversity in 48 genotypes and accessions using eight Amplified Fragment Length Polymorphism (AFLP) primer-pairs. The eight selected AFLP primer-pairs generated a total of 150 polymorphic loci. Using the generated AFLP data, the Un-Weighted Pair Group Method with Arithmetic Average (UPGMA) ordered the genotypes into six groups based on Dice similarity coefficient. … …American Journal of Applied Sciences, Vol. 11, Issue 7 · 29 Apr 2014 · 8,069 accessesView PDFCite