Search Results - (( evolution communication technique ) OR ( evolution mining techniques ))
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A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution
Published 2018“…Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. …”
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Book Chapter -
2
Data mining in computer auditing / Hiromi Wong, Siew Lan and Valery Fred Lee
Published 2004“…This evolution provokes the emergence of data mining tools, which perform data analysis and extract data patterns. …”
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3
Interference mitigation using power control technique in microcell-femtocell Long Term Evolution Advanced (LTE-A) network / Junairiah Ismail
Published 2017“…Mobile phones are becoming the most used communication tool today. Almost people were interested to have Fourth Generation (4G) phone in order to have good higher data rates communication and quality of services. …”
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4
Global Trends of Educational Data Mining in Online Learning
Published 2023“…Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. …”
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Article -
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A review of homogenous ensemble methods on the classification of breast cancer data
Published 2024“…This technique reinforced the use of multiple classifiers in the model. …”
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A review of homogenous ensemble methods on the classification of breast cancer data
Published 2024“…This technique reinforced the use of multiple classifiers in the model. …”
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Article -
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Load balancing in 4G long term evolution / Marvin Hendary
Published 2013“…Long Term Evolution (LTE) and LTE-Advanced is the next major step towards 4th generation of mobile communications. …”
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Thesis -
8
On fractional and semi-soft handover in long term evolution(LTE) networks
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Conference or Workshop Item -
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Dynamic smart grid communication parameters based cognitive radio network
Published 2023“…Cognitive radio (CR) is a powerful technique for solving the spectrum scarcity problem by adapting the transmission parameters according to predefined objectives in an active wireless communication network. …”
Article -
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Classification with degree of importance of attributes for stock market data mining
Published 2004“…Many statistical and data mining techniques have been used to predict time series stock market. …”
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Classification of Immunosignature Using Random Forests for Cancer Diagnosis
Published 2015“…To attain this essential research purpose, a minimum set of genes that can assure higher performance in classification using data mining algorithms need to be detected. The evolution of authoritative immunofingerprint mining technology is exerting a growing influence on comprehensive cancer diagnosis biology. …”
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Proceeding Paper -
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Global trends of educational data mining in online learning
Published 2023“…Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. …”
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Article -
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A survey of energy conservation techniques for mobile wireless communication devices
Published 2016“…Mobile devices have undergone a tremendous evolution over the past two decades.Today, mobile devices are equipped with sensing, communication, computational and entertainment functionalities to deliver a myriad of services to its users.Running these functionalities, however, comes with a huge energy cost.In this paper, we survey general solutions for energy conservation in mobile devices.We classify and provide brief summaries of the energy conservation techniques based on their key research ideas. …”
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Conference or Workshop Item -
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Application of data mining techniques for economic evaluation of air pollution impact and control
Published 2007“…For that purpose, we use data mining techniques. Data mining techniques applied in this thesis were: 1) Group method of data handling (GMDH), originally from engineering, introducing principles of evolution - inheritance, mutation and selection - for generating a network structure systematically to develop the automatic model, synthesis, and its validation; 2) The weighted least square (WLS) and step wise regression were also applied for some cases; 3) The classification-based association rules were applied. …”
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Suspicious online car advertisement detector using principle component analysis (PCA) / Fathiah Husna Firdaus
Published 2019“…Hence, this study is to propose suspicious advertisement detector by using data mining technique which is Principal Component Analysis (PCA). …”
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17
Optimum spacing for a quadratically interpolated look-up table predistorter for cellular power amplifiers
Published 2017“…Simulation results show that the proposed technique provides an improvement of 20% to 30% of error vector magnitude (EVM) and an improvement of 3 to 4 dBc of adjacent channel leakage ratio (ACLR) at a minimal memory usage for the wideband code division multiple access (WCDMA) and long term evolution system (LTE). …”
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Power amplifier memory polynomial predistorter for long term evolution application
Published 2015“…A brief description of some characterization techniques will be explained. These nonlinear modeling techniques can be applied to the design of successful predistortion algorithms. …”
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Generation and analysis of 5G downlink signal
Published 2022“…The evolution of wireless communication technology has provided a viable important concept for the next-generation wireless mechanism. …”
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Article -
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Accelerator-based human activity recognition using voting technique with NBTree and MLP classifiers
Published 2023“…To evaluate the proposed voting technique, the performance of selected individual classifiers and existing voting technique was first examined, followed by the experiment to determine the performance of the proposed model. …”
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