Search Results - (( _ application clustering algorithm ) OR ( mobile application means algorithm ))

A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation by Hossen J., Sayeed S., Iqbal A.K.M.P.

Modeling and Analysis of New Hybrid Clustering Technique for Vehicular Ad Hoc Network by Abdulrazzak H.N., Hock G.C., Mohamed Radzi N.A., Tan N.M.L., Kwong C.F.

“…The effectiveness of the clustering model is the most important challenge. The K-Means clustering algorithm is an effective algorithm for multi-clusters that can be used in VANETs. …”

Framework for stream clustering of trajectories based on temporal micro clustering technique by Abdulrazzaq, Musaab Riyadh

“…The clustering algorithm consists of two components: the temporal micro-clusters generation and the temporal micro clusters merging. …”
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A framework of modified adaptive neuro-fuzzy inference engine by Hossen, Md. Jakir

“…A modified apriori algorithm was employed to reduce the number of clusters effectively on the basis of common data in the clusters of every input to obtain a minimal set of decision rules based on datasets. …”
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Resource-efficient coverage path planning for unmanned aerial vehicle based aerial gateway in LoRaWAN by Ibrahim, Nurul Saliha Amani

“…Due to finite resource, multiple issues need to be considered in designing such system, including AG flight time, coverage radius and the achievable data rate of the ground-to-air system, thus an Energy Efficient Coverage Path Planning (EECPP) algorithm has been proposed. EECPP consist of two algorithms which is Stop Point Prediction Algorithm using K-Means, which finding the stop point for the AG after grouping the IDs into clusters, and Path Planning Algorithm using Particle Swarm Optimization which connect all of the stop point in shortest route. …”
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Utilizing Mobility Tracking to Identify Hotspots for Contagious Disease Spread : A Case Study of UNITEN Students Using Google Map Data by Wyin Y.M., Krishnan P.S., Phing C.C., Kiong T.S.

“…The paper describes the data collection process, data pre-processing steps, and the application of the HDBSCAN algorithm for hotspot clustering. …”

Backhaul load and performance optimality of partial joint processing schemes in LTE-A networks by Kousha, Mohammad

“…All these achieved because the proposed algorithm targets those users located at the cluster borders who more likely cause rank deficiency. …”
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Channel Modeling and Direction-of-Arrival Estimation in Mobile Multiple-Antenna Communication Systems by Ravari, Arastoo Rostami

“…The model can be applied to evaluate smart antenna systems and beamforming algorithms in the uplink by generating uncorrelated multipaths Rayleigh fading waveforms with certain spatio-temporal correlation and spatial coordinates relative to base stations to simulate received signals from mobiles and interferers. …”
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A Mobile Application For Stock Price Prediction by Choy, Yi Tou

“…In conclusion, this project’s objectives were achieved by developing the mobile application for stock price prediction using the best time series algorithm evaluated, which is ARIMA.…”
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Marketplace product recommendation using collaborative filter / Muhammad Alif Fauzan Ismail by Ismail, Muhammad Alif Fauzan

“…In conclusion this paper is to develop a product recommender in marketplace mobile application using Collaborative Filter and the accuracy of the algorithm is measured using Mean Absolute Error…”
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Fruity vegetable recognition system using Color Histogram and BRISK features extraction / Siti Hajar Mohd Nasri by Mohd Nasri, Siti Hajar

“…In process to extract the two main features, K-means clustering algorithm is used as background subtraction method with combination of Canny’s Edge Detection and Mathematical Morphology Operation for shape extraction. …”
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Content-based indexing of low resolution documents by Md Nor, Danial

“…We present hierarchy indexing techniques, whose foundation are tree and clustering. K-means clustering are used for visual features like colour since their spatial distribution give a good image’s global information. …”
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A new Doppler Spread Estimation Algorithm Based on Zero Crossings of The Auto-correlation by Altag Ali, Gassan, Jeoti , Varun, Manzoor, Shahid

“…A comparison between our proposed algorithm and the algorithm proposed by Tevfik Yucek in term of the Normalized Mean Square Error has been shown.…”
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Clustering ensemble learning method based on incremental genetic algorithms by Ghaemi, Reza

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Harmony Search-Based Fuzzy Clustering Algorithms For Image Segmentation by Alia, Osama Moh’d Radi

“…However, two main issues plague these clustering algorithms: initialization sensitivity of cluster centers and unknown number of actual clusters in the given dataset. …”
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A study of density-grid based clustering algorithms on data streams by Amini, A., Saybani, M.R., Sahaf Yazdi, S.R.A.

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On density-based data streams clustering algorithms: A survey by Teh, Y.W.

“…Recently, a lot of density-based clustering algorithms are extended for data streams. …”
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A review: accuracy optimization in clustering ensembles using genetic algorithms by Ghaemi, Reza, Sulaiman, Md. Nasir, Ibrahim, Hamidah, Mustapha, Norwati

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Home service mobile application based on matching algorithm / Mohammad Naqib Norbaini by Norbaini, Mohammad Naqib

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Fuzzy clustering algorithms and their applications to chemical datasets by Shah, Jehan Zeb, Salim, Naomie

“…In this work the importance of fuzzy based clustering methods is highlighted and their applications in the field of chemoinformatics, and issues involved are reviewed. …”
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