Hidden Markov (HMM).
High Precision Spectrum Sensing for Cognitive Radio using Hidden Markov Model
... A single cycle detector matches the ideal spectral correlation function for a single value of the cycle frequency proportional with a measured value. It is computationally similar to the optimum energy detector, except ...
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Modeling MOOC Student Behavior With Two-Layer Hidden Markov Models
... two-layer hidden Markov model (2L-HMM) to discover latent student behavior patterns via unsupervised learning on large collections of student behavior observation ...
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PERFORMANCE COMPARISION OF ENVIRONMENTAL NOISE MODELLING USING HIDDEN MARKOV MODEL AND FUZZY HIDDEN MARKOV MODEL
... using Hidden Markov Model (HMM) and Fuzzy Hidden Markov models (FHMM) are used and thereby use the modelled noise as reference noise input for cancelling the encountered noise using ...
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An Examination of Male and Female Monthly Employment Rates over Time in Canada and the United States Using Hidden Markov Probability Models
... the Hidden Markov Model in studying a multiple dimensional process that is changing over ...The HMM analysis has shown at least two underlying patterns in employment ...The HMM model provides ...
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Space time rainfall modeling using hidden markov model
... The Hidden Markov model is a doubly stochastic process in which the rainfall observation distribution depends on several unobserved discrete states (Rabiner and Juang, ...The Hidden Markov ...
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Use of Hidden Markov Model as Internet Banking Fraud Detection
... A hidden Markov model (HMM) is a statistical model in which the system being modeled is assumed to be a Markov process with unobserved ...A HMM can be considered as the simplest dynamic ...
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Adaptive Estimation Techniques for Hidden Markov Models
... Once the hidden semi-Markov model has been formulated as an augmented homogeneous HMM, known HMM techniques such as the vector versions of the forward-backward algorithm along with the B[r] ...
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Isolated Words Recognition System Based on Hybrid Approach DTW/GHMM
... DTW, HMM or ANN, researchers have attempted to combine these ...of Markov hidden HMM with the networks of neurons ...a HMM post processor [14,17] , several others propose a NN ...
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MUSIC PLAYER FOR JOGGERS USING ANN AND HMM
... Ram believes that the weather operates as a discrete Markov Chain. There are two states, "Rainy" and "Sunny", but he cannot observe them directly, that is, they are hidden from him. On each ...
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Real Time Face Tracking and Identification for Surveillance System Raghu Shakil F 1, Prof. Saurabh Shah2
... In hidden Markov model (HMM) the modeled system is thought to be a Markov procedure with shrouded ...easier Markov models (like a Markov chain), the state are straightforwardly ...
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Analysis on Clustering Method for HMM-Based Exon Controller of DNA Plasmodium falciparum for Performance Improvement
... The objective of this study is to control exon Deoxyribo nucleic acid (DNA) in the coding sequence (CDS) to a protein produced after going through the process of transcription and translation has not changed so there is ...
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A Hybrid Feature Extraction Approach for Human Action Recognition System based on Skeleton Data
... The human action recognition system in skeleton joints data is proposed. The proposed hybrid feature based on the angular information and distance parameters is used and these features are grouped together to reduce the ...
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A Secure way of performing Credit Card Transaction using Hybrid Model
... Hybrid Markov Model that may be a combination of Hidden Markov Model, Bayesian Classifier and bio-metric method to sight fraud a lot of expeditiously than all previous planned system of fraud ...a ...
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On predicting the outcomes of chemotherapy treatments in Breast cancer
... including Markov model (MM), Hidden Markov model (HMM), Random Forest (RF) and Recur- rent Neural Network (RNN), to predict the outcome ...
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Discovery of unusual cyanobacterial tryptophan- containing anabaenopeptins by MS/MS based molecular networking
... uses Hidden Markov Models (HMM) and rules-based detection to identify a broad array of BGCs, including those encoding polyketide, non-ribosomal peptides, terpenes, aminoglycosides and ribosomally ...
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Identification of Age And Gender Using HMM
... Speech age & gender recognition aims at recognizing the underlying state of the speaker from his or her speech signal[2]. This is mainly motivated by intelligent Human Machine Interaction required for different kinds ...
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Fraud Detection by Monitoring Customer Behavior and Activities
... Srivastva.Abhinav [29], HMM Hidden Markov Model is proposed to detect fraudulent transactions which is initially trained with the normal behavior of a cardholder therefore if an incoming[r] ...
10
1. Mobility prediction using movement, semantic and social data: a survey
... Activity transitions are more accurate than location transitions and hence Hidden Markov Model (HMM) is employed to estimate it. They use location semantics and mov[r] ...
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Devnagari Handwriting Recognition using STANN
... Hidden Markov Model For Off-line Recognition of Cursive Handwriting Flexible Structural Matching For on-line Handwritten Alphanumeric Characters statistical method HMM with neural networ[r] ...
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Efficient Multilingual Phoneme to Grapheme Conversion Based on HMM
... The novelty lies in modeling the natural language intraword features using the theory of hidden Markov models HMM and performing the conversion using the Viterbi algorithm.. The PTGC sys[r] ...
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