[PDF] Top 20 Research on modulation recognition with ensemble learning
Has 10000 "Research on modulation recognition with ensemble learning" found on our website. Below are the top 20 most common "Research on modulation recognition with ensemble learning".
Research on modulation recognition with ensemble learning
... The experiment begins with the extraction entropy feature. From Fig. 2, the distribution of feature where entropy acts the communication scheme on the 11 SNRs is shown. Because these entropies are discrete points, ... See full document
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Research on Modulation Recognition Algorithm of Submarine Modulation Signal
... four modulation signals of CW, OOK, FSK and MSK, the pattern recognition method based on characteristic parameter extraction is used to identify, and three characteristic parameters of four ... See full document
5
Measuring country sustainability performance using ensembles of neuro-fuzzy technique
... machine learning techniques on the SAFE ...this research has three ...this research, the back-propagation training algorithm is used to train the NN ...uses ensemble learning ... See full document
20
Ensemble learning particle swarm optimization for real time UWB indoor localization
... theoretical research of particle swarm optimization is rather extensive; meanwhile, applications of PSO are also deeply penetrating into various domains such as industrial engineering, machinery, communication, ... See full document
15
Ensemble Learning Models for Churn Prediction
... machine learning has been a very popular research field among data scientists from over a ...based ensemble techniques ...deep learning techniques in churn ...their research on churn ... See full document
6
Confidence Measures in Multiclass Speech Emotion Recognition Using Ensemble Learning To Catch Blunders
... Previous research into confidence in speech classification predictions has been predominantly designed for Automatic Speech Recognition (ASR) applications and not for SER ...These research endeavors ... See full document
5
ARABIC TEXT CLUSTERING BASED ON K MEANS ALGORITHM WITH SEMANTIC WORD EMBEDDING
... the learning mechanism in the software engineering ...machine learning approaches have been presented for development of SDP model such as Naïve Bayes [6-7], Neural network [8], random forest [9], ... See full document
9
Ensemble feature subset selection technique in spam detection system
... new ensemble feature selection techniques, focusing on new metaheuristic feature selection algorithms namely the Novel Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (BQPSO) Algorithm, and ... See full document
6
Promoter Prediction In DNA Sequences Of Escherichia Coli Using Machine Learning Algorithms
... Machine learning has brought many advancements in the field of computational ...Machine Learning has made way for opportunities in demanding fields by enabling machines to automatically learn from data ... See full document
5
Intra pulse modulation recognition using short time ramanujan Fourier transform spectrogram
... Intra-pulse modulation recognition under negative signal-to-noise ratio (SNR) environment is a research ...the recognition of 5 types of radar signals with large variation range in the signal ... See full document
11
An Ensemble Method for Character Recognition Using Machine Learning Techniques
... the recognition accuracy is aimed to improve by training an ensemble of ...machine learning techniques ...the recognition rate for recognizing the characters is more accurate than other ... See full document
10
Shape-Based Single Object Classification Using Ensemble Method Classifiers
... In this paper, classification techniques for the single object image of multiple categories have been reviewed. Emphasis has been given to those techniques in ensemble method. The results provided proved that the ... See full document
6
Developmental changes associated with cross language similarity in bilingual children
... translation recognition in unbalanced bilinguals, giving rise to a translation direction asymmetry which only disappears at L2 native-like levels of proficiency (see Dimitropoulou et ... See full document
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Automatic Modulation Recognition Using Wavelet Transform and Neural Networks in Wireless Systems
... of modulation recognition in PSK- based ...automatic modulation recognition of radio signals with a priori unknown ...of modulation recognition are important in the context of ... See full document
13
Signal space based adaptive modulation for software radio
... correct modulation scheme used in an unknown received signal is a major advantage in a wireless ...varies, modulation scheme switching enables the baud rate to be increased or decreased thus maximising ... See full document
6
Random subspacing for regression ensembles
... Model selection simply chooses the best “base” model to make a prediction. This can be either done in a static fashion using cross-validation majority (Schaffer 93) where the best model is the one that has the lowest ... See full document
6
Research on Financial Fraud Forecasting Recognition Based on Machine Learning
... In the process of writing this paper, I got the careful guidance of two teachers, Jiakun Zhao and Jun Xie. In the process of completing this paper, he put forward a lot of constructive guidance to me, carefully explained ... See full document
7
Human Activities – Their Classification, Recognition and Ensemble of Classifiers
... physical activities. Their results have demonstrated the feasibility of the prototype and the proposed algorithms. Liming Chen, et al. (2012: pp. 961-974) introduced in their paper a knowledge-driven approach to ... See full document
6
Toward Instantaneous Facial Expression Recognition Using Privileged Information
... Expression Recognition is one of determining factors in automatic recognition of humans’ ...Expression Recognition research, yet it has been difficult to build real-time and robust ...Extreme ... See full document
7
Aggression Detection in Social Media using Deep Neural Networks
... an ensemble method for aggression detection in social media with three deep learning methods in the ...ensemble. Ensemble method performance is better than the performance of individual ... See full document
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