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73 results for “clustering methods”
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Research ArticleOpen accessIn the abstractComparative Analysis of the Artificial Neural Networks Options Pricing Model Under Constant and Time-Variant VolatilitiesHanningtone Meshack Simiyu, Anthony Gichuhi Waititu, Jane Aduda AkinyiOption pricing using artificial neural networks (ANN) model while relaxing the assumption of constant volatility still remains a challenge. The conventional practice for pure ANN models has been to either model volatility using the very ANN model and have the model output fed as an input to the ANN option pricing model, or to make allowances for a large number … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 20 Jul 2019 · 7,015 accessesView PDFCite
Research ArticleOpen accessIn the abstractAUTHORSHIP CATEGORIZATION IN EMAIL INVESTIGATIONS USING FISHER’S LINEAR DISCRIMINANT METHOD WITH RADIAL BASIS FUNCTIONA. Pandian, Md. Abdul Karim SadiqEmail plays a vital role in faster communication. Lots of mails are sent to common public with falsified information that appears to be a realistic. It is mandatory to trace the origin of the email and the authors/systems responsible for generating such emails. Representative signatures of email are to be generated using lexical and syntactic based methods. The signature of … …Journal of Computer Science, Vol. 10, Issue 6 · 31 Jan 2014 · 6,690 accessesView PDFCite
Research ArticleOpen accessIn the abstractA BROADCAST BASED ROUTING PROTOCOL FOR INTER-CLUSTER DATA DISSEMINATION IN VEHICULAR COMMUNICATIONAuxeeliya Jesudoss, S. V. Kasmir Raja, Ashraph SulaimanVehicular communication is one of the fast growing and promising technologies for a safe and comfortable driving environment. These technologies do not end up with economic and safety ramifications, but also extended with other informational and entertainment oriented services. Data are being propagated multi-hop between source and destination vehicles for many real-life applications. Clustering is one of the effective and … …Journal of Computer Science, Vol. 10, Issue 5 · 30 Dec 2013 · 7,525 accessesView PDFCite
Research ArticleOpen accessIn the abstractSECURING MOBILE ANT AGENT USING CHINESE REMAINDER THEOREMSrinath Doss, Janet JeyarajRecent days, research in wireless network becomes major area for the past few decades. In wireless routing many routing methods such as table driven, source driven; many characteristics such as reactive routing, proactive routing; many routing algorithms such as dijikstra’s shortest path, distributed bell-man ford algorithm are proposed in the literature. For effective wireless routing, the recent ant colony optimization … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 6,567 accessesView PDFCite
Research ArticleOpen accessIn the abstractSTOCHASTIC GROWTH MODEL FOR SPATIAL CLUSTER BIRTH AND DEATH PROCESS WITH MIGRATIONRo’fah Nur Rachmawati, Rokhana Dwi BektiIn real life, we can encounter the cluster birth and death process with migration, such as the birth of new individuals and disease in certain place and time. These phenomena can be represented by stochastic model that are considered to be more representatives in capturing natural indications involving the concepts of space and time. In this study, we construct a … …Journal of Mathematics and Statistics, Vol. 9, Issue 2 · 9 May 2013 · 7,094 accessesView PDFCite
Research ArticleOpen accessIn the abstractIdentification of Clonal Clusters of Klebsiella pneumoniae Isolates from Chennai by Extended Spectrum Beta Lactamase Genotyping and Antibiotic Resistance Phenotyping AnalysisC. Kamatchi, H. Magesh, Uma Sekhar, Rama VaidyanathanProblem statement: An increased resistance to antibiotics has been reported in Klebsiella pneumoniae, an opportunistic gram negative pathogen belonging to Entrobacteraceae due to the evolution and spread of plasmid encoded extended spectrum beta lactamases and other genes conferring cross-resistance to other antibiotics. This is of concern due to the increasing cost of antibiotic treatment and the spread of multidrug resistance … …American Journal of Infectious Diseases, Vol. 5, Issue 2 · 30 Jun 2009 · 7,958 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOptimized Fractal Fusion Driven Deep Neural Network: An Efficient Hybrid Methodology for Disease Detection and Classification in Plant LeavesDeepkiran Munjal, Mrinal Pandey, Laxman SinghPlant diseases and pest attacks are among the major issues in agriculture, which have a great impact on crop growth and yield. Early and correct detection of these diseases is vital for effective management and keeping plant health at the desired level. This research proposes a new method for detection and classification of plant diseases, the Optimized Fractional Fusion Deep … …Journal of Computer Science, Vol. 21, Issue 12 · 8 Jan 2026 · 2,228 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSwarm Optimization Techniques for Segmenting Gel Electrophoresis ImagesSara Ibrahim Ibrahim, Mohamed Abd Allah Makhlouf, Ghada.S. El-Tawel, M.E. WahedGel Electrophoresis (GE) are discussed as the main tool to dissociate DNA sequences. It helps in analyzing the genome such that each image resulting from it consists of lanes that include several bands. Image segmentation plays the foremost role in image processing. It helps in producing accurate results in medical diagnosis. Image segmentation works by dividing an image into regions … …Current Research in Bioinformatics, Vol. 5, Issue 1 · 18 Jun 2016 · 8,098 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSecured Disclosure of Sensitive Data in Data Mining TechniquesKirubhakar Gurusamy, Venkatesh ChakrapaniRecent advances in data collection, data dissemination and related technologies have inaugurated a new era of research where existing data mining algorithms should be reconsidered from the point of view of securing sensitive data. People have become increasingly unwilling to share their data. This frequently results in individuals either refusing to share their data or providing incorrect data. In turn, … …Journal of Computer Science, Vol. 8, Issue 12 · 18 Dec 2012 · 6,484 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordShots Temporal Prediction Rules for High-Dimensional Data of Semantic Video RetrievalShaimaa Toriah Mohamed Toriah, Atef Zaki Ghalwash, Aliaa A.A. YoussifTemporal consistency stands as a vital property in semantic video retrieval. Few research studies can exploit this useful property. Most of the used methods in those studies depend on rules defined by experts and use ground-truth annotation. The Ground-truth annotation is time-consuming, labor intensive and domain specific. Additionally, it involves a limited number of annotated concepts and a limited number … …American Journal of Applied Sciences, Vol. 15, Issue 1 · 30 Jan 2018 · 8,120 accessesView PDFCite