Relevant bibliographies by topics / Matlab-cluster

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Matlab-cluster'

Author: Grafiati
Published: 28 May 2022
Last updated: 30 July 2025

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Journal articles on the topic "Matlab-cluster"

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Kovarik, Martin, and Petr Klimek. "Cluster Analysis in MATLAB." Informační Bulletin České statistické společnosti 22, no. 1 (2011): 20–27. http://dx.doi.org/10.5300/ib/2011-1/20.

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Alonso, Andrés M. "JMASM23: Cluster Analysis In Epidemiological Data (Matlab)." Journal of Modern Applied Statistical Methods 5, no. 1 (2006): 273–80. http://dx.doi.org/10.22237/jmasm/1146457320.

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Hang, Gui Yun, Wen Li Yu, Tao Wang, Jin Tao Wang, and Zhen Li. "Motion Simulation of Cluster Warhead Based on MATLAB." Advanced Materials Research 1051 (October 2014): 951–55. http://dx.doi.org/10.4028/www.scientific.net/amr.1051.951.

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External trajectory equations of a certain cluster warhead were established according to the analysis of force during the motion process. The distribution on ground and some related motion parameters were got by MATLAB to solve the external trajectory equations. The influence of some factors on the distribution and terminal motion parameters were researched. The results show that the dispersion height and dispersion velocity are the most important factors. This paper can provide some reference for the research on the distribution of cluster warhead and determining operational scheme.
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Arif, Abdul, and Ratna Christyanti. "Clustering Calon Penerima Zakat Menggunakan Metode K-Means." SMARTICS Journal 8, no. 2 (2022): 31–37. http://dx.doi.org/10.21067/smartics.v8i2.7531.

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Zakat dikeluarkan apabila telah mampu dan hartanya telah mencapai nishab. Dana zakat dikumpulkan dari para pemberi zakat (muzakki) untuk kemudian disalurkan kepada penerima zakat (mustahik). Permasalahan yang sering timbul saat penyaluran zakat yaitu tidak tepatnya penentuan mustahik. Hal ini terjadi karena kesalahan pembagian bantuan. Oleh karena itu, tujuan dari penelitan ini yaitu untuk mengembangkan sebuah aplikasi berbantu GUI Matlab untuk membantu menentukan klasterisasi kemiskinan pada penduduk calon mustahik menggunakan algoritma K-Means. Tahapan metode pada penelitian ini meliputi 1)
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Todd, Clifford S., Tivadar M Toth, and Róbert Busa-Fekete. "GraphClus, a MATLAB program for cluster analysis using graph theory." Computers & Geosciences 35, no. 6 (2009): 1205–13. http://dx.doi.org/10.1016/j.cageo.2008.05.007.

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Herlawati, Herlawati, and Rahmadya Trias Handayanto. "Penggunaan Matlab dan Python dalam Klasterisasi Data." Jurnal Kajian Ilmiah 20, no. 1 (2020): 103–18. http://dx.doi.org/10.31599/jki.v20i1.85.

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Abstract
 
 Organizations need to dig through the data clustering process, both past data and data from the internet. Sometimes the data has to be re-clustered to match the actual conditions. Therefore, it is necessary to prepare clustering support equipment. In this study the K-Means method was chosen for comparing two technical computational languages, i.e. Matlab and Python which are currently in great demand by researchers and can be used by organizations for a clustering process. This study showed both Matlab and Python have enough libraries (libraries) and toolboxes to help use
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Fadhilla, Eky Nur, Zelvia Monica, Farrah Anis Fazliatul Adnan, Jong Soo Rhee, and Dianta Ginting. "Fuel Efficiency Evaluation of Automatic Motorcycles in Indonesia Using MATLAB-Based Clustering." International Journal of Innovation in Mechanical Engineering and Advanced Materials 7, no. 2 (2025): 64. https://doi.org/10.22441/ijimeam.v7i2.31577.

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The continuous rise in fuel prices in Indonesia has made fuel efficiency a crucial factor for consumers when selecting vehicles, particularly motorcycles. Automatic scooters with engine capacities below 160 cc have become increasingly popular in urban areas due to their fuel-saving benefits. This study aims to analyze the influence of engine capacity, vehicle weight, and engine torque on the fuel consumption of automatic scooters with engine capacities ranging from 109 cc to 156.9 cc. The study also considers additional performance parameters, including average fuel consumption, power output,
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Karpov, A. V., and O. V. Komogortsev. "Aspects of MATLAB usage on computational cluster for solving of biometrics problems." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 1. Mathematica. Physica, no. 1 (June 5, 2012): 42–48. http://dx.doi.org/10.15688/jvolsu1.2012.1.6.

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José-García, Adán, and Wilfrido Gómez-Flores. "CVIK: A Matlab-based cluster validity index toolbox for automatic data clustering." SoftwareX 22 (May 2023): 101359. http://dx.doi.org/10.1016/j.softx.2023.101359.

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Annisa, Karin, Budi Serasi Ginting, and Mili Alfhi Syar. "PENERAPAN DATA MINING PENGELOMPOKAN DATA PENGGUNA AIR BERSIH BERDASARKAN KELUHANNYA MENGGUNAKAN METODE CLUSTERING PADA PDAM LANGKAT." Jurnal Sistem Informasi Kaputama (JSIK) 6, no. 2 (2022): 165–79. http://dx.doi.org/10.59697/jsik.v6i2.167.

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Permasalahan pelanggan memang sangat kompleks, oleh karena itu harus ditangani secara baik, jelas, dan tuntas. Pelayanan yang baik dari suatu perusahaan dapat menunjukan profesionalisme perusahaan itu sendiri, artinya keseriusan, kepastian waktu, ketepatan waktu dan hasil kerja yang dapat dipertanggung jawabkan dalam menyelesaikan semua permasalahan dapat membuktikan kualitas suatu perusahaan. Clustering merupakan proses partisi satu set objek data ke dalam himpunan bagian yang disebut dengan cluster. Objek yang di dalam cluster memiliki kemiripan karakteristik antar satu sama lainnya dan berb
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Dissertations / Theses on the topic "Matlab-cluster"

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Скринник, А., Дмитро Васильович Кушнір, Дмитрий Васильевич Кушнир та Dmytro Vasylovych Kushnir. "Реалізація чисельного алгоритму розв'язання граничної задачі з дробовими похідними за допомогою matlab-кластера". Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/44195.

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Щоб отримати розподіл функції P для будь-якого моменту часу t, необхідно повторювати процедуру (2) при кожній реалізації алгоритму зворотного перетворення Лапласа. У зв’язку з цим було створено MATLAB-кластер, що дозволило виконати потрібні обчислення за "розумний" час.
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Krupka, Ondřej. "Klasifikace vzorků 1D gelové elektroforézy." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221331.

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This term project deals with the classification of 1D gel electrophoresis samples. It describes the theoretical information about gel electrophoresis, various types of errors, processing of the image and its classification using the cluster analysis. One of the main goals is creation of images with the highest quality as possible. A realization of pre-processing and detection of the sample borders is made in the MATLAB environment. And finally, classification of samples is done with subsequent statistical analysis.
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Wang, Xu. "Investigation of methods for determination of Wireless Node's Cluster Connectivity." Thesis, Mittuniversitetet, Avdelningen för elektronikkonstruktion, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-24988.

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Recent advancement in wireless communications and electronics has enabled the development of sensor networks. With development in technology, wireless sensor network is used more and more in our daily life, because the technology is more flexible and cheaper than the wired sensor network. The objective of this study has been to solve the problem that how closely a group of mobile wireless nodes are clustered. Matlab is used to simulate the various situations of nodes. There are two major parts in this software design. One is the function of detecting the movement of the mouse. Another is the f
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Ridolfi, Arianna. "Evoluzione spazio-temporale della distribuzione della popolazione in relazione ad eventi alluvionali. I casi di India e Regno Unito." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/19794/.

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L’elaborato si basa sull'analisi dell’evoluzione spazio-temporale della distribuzione della popolazione in relazione ad eventi alluvionali. Sono stati confrontati i casi di India e Regno Unito come esempi di Stati con caratteristiche socio-economiche differenti. I Paesi sono stati scelti sulla base di un’analisi preliminare in funzione di: numerosità degli eventi avvenuti, somma delle estensioni delle aree alluvionate, somma della durata delle alluvioni e densità di popolazione. L’estrazione di India e Regno Unito è avvenuta considerando alcuni indici economici, quali ISU, WBI e PVI. I dati u
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Siwabessy, Paulus Justiananda Wisatadjaja. "An investigation of the relationship between seabed type and benthic and bentho-pelagic biota using acoustic techniques." Thesis, Curtin University, 2001. http://hdl.handle.net/20.500.11937/1678.

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A growing recognition of the need for effective marine environmental management as a result of the increasing exploitation of marine biological resources has highlighted the need for high speed ecological seabed mapping. The practice of mapping making extensive use of satellite remote sensing and airborne platforms is well established for terrestrial management. Marine biological resource mapping however is not readily available except in part from that derived for surface waters from satellite based ocean colour mapping. Perhaps the most fundamental reason is that of sampling difficulty, whic
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Siwabessy, Paulus Justiananda Wisatadjaja. "An investigation of the relationship between seabed type and benthic and bentho-pelagic biota using acoustic techniques." Curtin University of Technology, Department of Applied Physics, 2001. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=12197.

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A growing recognition of the need for effective marine environmental management as a result of the increasing exploitation of marine biological resources has highlighted the need for high speed ecological seabed mapping. The practice of mapping making extensive use of satellite remote sensing and airborne platforms is well established for terrestrial management. Marine biological resource mapping however is not readily available except in part from that derived for surface waters from satellite based ocean colour mapping. Perhaps the most fundamental reason is that of sampling difficulty, whic
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CIOCIOLA, GIUSEPPE. "Dynamics of Commodity Prices. A Potential Function Approach with Numerical Implementation." Doctoral thesis, Università degli studi di Bergamo, 2013. http://hdl.handle.net/10446/28630.

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In the present analysis a nonlinear model is discussed in order to capture the presence of several forces acting in commodity markets and the difficulty to disentangle their relative price impacts. Global commodity markets have experienced significant price swings in recent years. Analysts offer two explanations: market forces and speculative expectations, not mutually exclusive. Commodity prices seem to indicate that various factors are acting in a very complex way. We start from one specific feature: price clustering phenomenon, which is the tendency to concentrate in a number of attraction
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Příhodová, Petra. "Zpracování biosignálů - shluková analýza." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-219240.

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This thesis deals with the problem with cluster analysis and biosignal classification options. The principle of cluster analysis, methods for calculating distances between objects and the standard process in the implementation of clustering are described in the first part. For biosignals processing,it is necessary to get familiar with the primary parameters of these signals in the following sections of thesis, process biosignals and methods for recording of action potentials described. Based on studying different clustering methods is presented a program with the applied method kmedoid in the
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Jhu, Wun-Shinag, and 朱文祥. "The application of Matlab on a PC cluster to Block Predictor and Corrrctior method." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/50636543162063266775.

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碩士<br>中華大學<br>應用統計學系碩士班<br>99<br>Under the development of modern information technology, the computation of numerical solution of differential equations needs more accuracy and conscientious. By the concept of parallel computing, we can implement a numerical scheme by a network of personal computers. A PC cluster scheme can be organized through network connection. In this thesis, we want to do comparison of the speedup, between single PC and multiple PC, based on an algorithm in numerical solution of O.D.E, called Block method, this computer architecture implements parallel Matlab to do compil
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Books on the topic "Matlab-cluster"

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Perez, C. NEURAL Networks Using Matlab. Cluster Analysis and CLASSIFICATION. Lulu Press, Inc., 2019.

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Perez, C. Segmentation with Matlab. Cluster Analisis and Nearest Neighbors (Knn). Independently Published, 2019.

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Perez, C. STATISTICS and DATA ANALYSIS with MATLAB. CLUSTER ANALYSIS and APPLICATIONS. Independently Published, 2019.

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Perez, C. Big Data Analytics: Cluster Analysis and Pattern Recognition. Examples with MATLAB. Independently Published, 2019.

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Perez, C. Big Data Analytics: Cluster Analysis and Pattern Recognition. Examples with MATLAB. Lulu Press, Inc., 2020.

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ARTIFICIAL INTELLIGENCE TOOLS: CLUSTER ANALYSIS and KNN CLASSIFIERS. Examples with MATLAB. Lulu Press, Inc., 2023.

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Vidales, A. Machine Learning with Matlab. Unsupervised Learning: Multidensional Scaling, Dimension Reduction and Cluster Analysis. Independently Published, 2019.

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Perez, C. STATISTICS and DATA ANALYSIS with MATLAB. CLUSTER ANALYSIS and PATTERN RECOGNITION with NEURAL NETWORKS. Independently Published, 2019.

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Vidales, A. MACHINE LEARNING with MATLAB. CLASSIFICATION TECHNIQUES: CLUSTER ANALYSIS, DECISION TREES, DISCRIMINANT ANALYSIS and NAIVE BAYES. Independently Published, 2019.

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Book chapters on the topic "Matlab-cluster"

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Bekas, Constantine, Efrosini Kokiopoulou, Efstratios Gallopoulos, and Valeria Simoncini. "Parallel Computation of Pseudospectra Using Transfer Functions on a MATLAB-MPI Cluster Platform." In Recent Advances in Parallel Virtual Machine and Message Passing Interface. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45825-5_35.

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Pfarrhofer, R., P. Bachhiesl, M. Kelz, H. Stögner, and A. Uhl. "MDICE — a MATLAB toolbox for efficient cluster computing." In Advances in Parallel Computing. Elsevier, 2004. http://dx.doi.org/10.1016/s0927-5452(04)80068-6.

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Gopal, Nivetha, and Venkatalakshmi Krishnan. "Proficient Clustering algorithm for Wireless Sensor Networks." In Advances in Data Mining and Database Management. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1776-4.ch013.

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Enhancing the energy efficiency and maximizing the networking lifetime are the major challenges in Wireless Sensor Networks (WSN).Swarm Intelligence based algorithms are very efficient in solving nonlinear design problems with real-world applications.In this paper a Swarm based Fruit Fly Optimization Algorithm (FFOA) with the concept of K-Medoid clustering and swapping is implemented to increase the energy efficiency and lifetime of WSN. A comparative analysis is performed in terms of cluster compactness,cluster error and convergence. MATLAB Simulation results show that K-Medoid Swapping and B
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Gopal, Nivetha, and Venkatalakshmi Krishnan. "Proficient Clustering algorithm for Wireless Sensor Networks." In Robotic Systems. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1754-3.ch012.

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Enhancing the energy efficiency and maximizing the networking lifetime are the major challenges in Wireless Sensor Networks (WSN).Swarm Intelligence based algorithms are very efficient in solving nonlinear design problems with real-world applications.In this paper a Swarm based Fruit Fly Optimization Algorithm (FFOA) with the concept of K-Medoid clustering and swapping is implemented to increase the energy efficiency and lifetime of WSN. A comparative analysis is performed in terms of cluster compactness,cluster error and convergence. MATLAB Simulation results show that K-Medoid Swapping and B
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Liu, Yanzi. "A Road Planning Optimization Method Based on Beam Search." In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde231184.

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In order to properly solve the problems of scattered data and difficult information updating in urban road information management, the cluster search scheme is used to improve the management efficiency of road planning. This paper takes the urban disaster prevention as example, and reveals the contradiction between the existing urban form in several cases. To shorten the average waiting time and working distance of stored vehicles, the corresponding mathematical model of cluster search is established by investigating the collected data and extracting the data. Then combining with the actual ga
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Anita and Amita Asthana. "Optimization of APTEEN Protocol in the Wireless Sensor Network Using the Huffman Coding and Artificial Neural Network." In Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde221296.

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Due to APTEEN’s practicality, the routing protocol has become a popular choice. However, there are issues with the network’s unequal energy consumption, the early death of certain nodes, and the channel’s poor effective coverage. In the literature, biologically motivated algorithms have been implemented for optimization of the versatile and edge-sensitive energy potential networks routing protocol. These algorithms are iterative in nature. As a result, in general, choosing the best cluster head takes a lengthy time to execute. To solve these problems, this paper uses Huffman coding and artific
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Mado, Ismit. "Identification of Predicted Load Cluster Pattern Power Generation Parameters Based on Descriptive Time Series Analysis." In Model-Based Control Engineering - Recent Design and Implementations for Varied Applications. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.99126.

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This chapter describes the process of identifying a power generation system. This is important because in principle the system parameters as a whole are not linear and uncertain. For this reason, it is necessary to carry out an identification process using an experimental approach that is able to represent the system as a whole. The technique used in this identification process is Prediction Error Minimization (PEM) as a tool available in Matlab. Identification is done by simulating changes in the value of frequency, voltage and electrical power due to changes in load. The change in load over
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Fatima, Bouakkaz, Ali Wided, Guemmadi Sabrina, and Derdour Makhlouf. "K-Means Efficient Energy Routing Protocol for Maximizing Vitality of WSNs." In Computational Optimization Techniques and Applications. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96567.

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The progress of wireless communication and microelectronics create wireless sensor network, which is a very important field of research, The utilization of Wireless Sensor Network is growing and have a diversity applications like Military applications, Agriculture, Health care, Medical monitoring. The main issue of WSN is energy consumption, where prolonged network lifetime, is important necessity. From the solution proposed the Clustering with k-means is a successful technique for achieving these goals. This work is adaptation of one of the most famous protocol in WSN witch is Low Energy Adap
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Mahmoudabadi, Abbas, and Arezoo Abolghasem. "A Cluster-Based Method for Evaluation of Truck's Weighing Control Stations." In MATLAB - A Ubiquitous Tool for the Practical Engineer. InTech, 2011. http://dx.doi.org/10.5772/24110.

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M S, Vinmathi, Josephine M S, and Jeyabalaraja V. "WSN Based on Bio-Inspired Algorithm in Cluster Head Formation." In Intelligent Systems and Computer Technology. IOS Press, 2020. http://dx.doi.org/10.3233/apc200152.

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A sort of inclusion improvement technique dependent on bio-inspired algorithm was implemented so as to fathom the irrationality and low system inclusion of sensor hub in WSN at the irregular dispersion. Right off the bat, the ebb and flow investigate status of WSN inclusion was broke down, the hub inclusion and territorial inclusion in WSN on the premise were examined, the comparing scientific model was set up, the bio-enlivened calculation was taken to tackle the built up numerical model, and the WSN inclusion advancement program dependent on the bio-roused was gotten. At last, MATLAB was uti
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Conference papers on the topic "Matlab-cluster"

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Johnson, Brisaac, and Chris Crawford. "MRI Image Segmentation using Fuzzy C-Means in MATLAB." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003026.

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Image segmentation is challenging because an image has to be partitioned into regions with pixels that contain similar attributes. To accomplish this task, many use MATLAB, Python, or other environments that allow them to set thresholds for the image, to group similar pixels together, or remove undesirable pixels from the image. When approaching the image segmentation problem, many use the fuzzy c-means algorithm to group similar pixels with the same features in an image. Hence, it makes it easier to analyze specific areas in the image, such as a tumor that may be present. This paper presents
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Kamalizonouzi, Babak, and Samuel F. Asokanthan. "Inertial Sensor Dynamics, Selection and Applications for Epileptic Seizure Detection." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-88371.

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In this work, an optimal placement strategy for wearable inertial sensor placement on a human arm is presented with an ultimate goal of using a sensor cluster for epileptic seizure detection. The present study shows that the placement of sensors plays a significant role in achieving high sensing resolution. Employing the commercial package Motion Genesis™, a procedure is first developed to simulate the dynamic response when human body is under typical epileptic seizure episodes. The method uses Kane’s method to obtain equations of motion and the resulting equations of motion are numerically so
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Wang, Yi, Ni Li, Ban Wang, Xuemin He, Yongning Zhu, and Ming Zhou. "Local Pursuit Strategy-Inspired Cooperative Formation Flight and Collision Avoidance for UAV Cluster." In ASME 2023 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/imece2023-113399.

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Abstract The unmanned aerial vehicles (UAV) cluster, compared to a single UAV, has better application potential in implementing complex and dangerous tasks. In recent research, cooperative formation control strategy and obstacle avoidance have always been focused to secure the safety of flight and task implementation. In this research, we propose the Local Pursuit (LP) strategy-inspired cooperative flight and collision avoidance model inspired by foraging ants, which consists of a formation control module and an obstacle avoidance module. In the formation control module, under the guidance of
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Oruwari, Humphrey Otombosoba, and Raymond Odum Oruwari. "Enhancing Natural Gas Plant in Niger Delta Region: Using Wireless Sensor." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/217192-ms.

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Abstract This study evaluates designing and simulating wireless sensor network as a solution to enhance the operations of natural gas plant in a metering station in Niger Delta region. There are several problems in natural gas plants ranging from hydrate formation, condensate carryover to customer's facility, low equipment availability and so on. All the problems enumerated were due to inability of some units of the plant not linked online nor on Realtime basis. To solve these problems requires the use of transmitter to route process parameters in the respective plant units to the control room
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Elton, Bracy H., and Kevin M. Magde. "A Scalability Study on Multicore Cluster Systems of an AFRL Radar Frequency Tomography Imaging Code Written in MATLAB(r) for Parallel Execution Using Star-P(r)." In 2008 DoD HPCMP Users Group Conference. IEEE, 2008. http://dx.doi.org/10.1109/dod.hpcmp.ugc.2008.51.

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Wang, Zhi, Zhuo Liu, Dong Hu, and Tao Jia. "Nonconvex Multiview Subspace Clustering Framework with Efficient Method Designs and Theoretical Analysis." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/571.

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Multi-view subspace clustering (MvSC) is one of the most effective methods for understanding and processing high-dimensional data. However, existing MvSC methods still have two shortcomings: (1) they adopt the nuclear norm as the low-rank constraint, which makes it impossible to fully exploit the mutually complementary subspace information, and (2) they do not handle disjoint and confounding points carefully, which may degrade the purity and distinctiveness of cross-view fusion. To address these issues, in this paper we propose a novel MvSC model with nonconvex ℓq regularization. Specially, ou
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Han, Zhuocheng, Xuelian Zheng, Yuanyuan Ren, Xiansheng Li, and Qingju Wang. "Personalized Adaptive Cruise Control with Deep Reinforcement Learning." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003421.

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With the increasing of vehicle intelligence, how to integrate driving style into the autonomous driving decision-making strategies and enhance the driver's trust in the autonomous driving system has become a hot topic. In this paper, a new personalized adaptive cruise control algorithm taking the consideration of driver car-following style is designed. By filtering and reconstructing the driving data in the NGSIM database, indicators characterizing the car-following style are extracted, and K-means is used to cluster the car-following style into three categories: aggressive, general and conser
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Kim, Hahn, Jeremy Kepner, and Crystal Kahn. "Parallel Out-of-Core Matlab for Extreme Virtual Memory." In 2005 IEEE International Conference on Cluster Computing. IEEE, 2005. http://dx.doi.org/10.1109/clustr.2005.347016.

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Deng, Huiping, Chihua Lu, Wan Chen, et al. "Research on In-Vehicle Clustered Multi-Channel Active Noise Control System." In Noise & Vibration Conference & Exhibition. SAE International, 2025. https://doi.org/10.4271/2025-01-0016.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;To address the issue of intermittent engine intervention during the charging and discharging processes of hybrid vehicles, which results in roaring noise within the cabin, this paper proposes a semi-coupled cluster control strategy that offers superior overall performance. This strategy is based on the traditional multi-channel Active Noise Control (ANC) system and integrates the advantages of both centralized and decentralized control approaches. The proposed clustered control strategy reduces computational load by appr
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Westfechtel, Simon, Ingo Elsen, Raphael Pfaff, and Marcel Remmy. "Simulation of Big Data from Railway Braking." In EuroBrake 2021. FISITA, 2021. http://dx.doi.org/10.46720/8277610eb2021-ibc-003.

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Condition Monitoring (CM) offers opportunities for improvement of safety, availability while typically also reducing maintenance cost. For some asset classes however, large up-front investments are required. Most notably, for the wagon subsystem of the freight rail system, a close monitoring of brake performance using on-board sensors for monitoring of the brake hardware using e.g. force sensor appears expensive and economically not viable. The approach outlined in this paper picks up on the approach of the author's contribution to Eurobrake 2019, where a big data approach merely based on acce
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