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Detection of Plants Leaf Diseases using Swarm Optimization Algorithms

Saud Abdul Razzaq, Baydaa Khaleel
<span title="2021-12-01">2021</span> <i title="University of Mosul"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7z6szi2wgvf7xevxuexebt3rqu" style="color: black;">˜Al-œRafidain journal for computer sciences and mathematics</a> </i> &nbsp;
In the second stage, the features were extracted based on the statistical feature extraction method, while in the third stage, the particle swarm (PSO) and chicken swarm optimization(CSO) algorithms were  ...  In this research, some artificial intelligence algorithms, represented by swarm optimization algorithms, were used to detect and classify plant diseases to healthy and unhealthy through images of different  ...  Acknowledgments We express our thanks and appreciation to the University of Mosul for its persistent support in accomplishing this work.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.33899/csmj.2021.170021">doi:10.33899/csmj.2021.170021</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nr725yxvznb4ro4sbvapgewcfy">fatcat:nr725yxvznb4ro4sbvapgewcfy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211218185856/https://csmj.mosuljournals.com/article_170021_6079f882b9c4edfd93183beed90d73ae.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/10/5e/105e57f79a7115303a40863e6c773ad382f619c7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.33899/csmj.2021.170021"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

HYBRID EXPONENTIAL PARTICLE SWARM OPTIMIZATION K-MEANS ALGORITHM FOR EFFICIENT IMAGE SEGMENTATION

Sai
<span title="2012-11-01">2012</span> <i title="Science Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wake4w3hqzd4ndiy2zowpciv64" style="color: black;">Journal of Computer Science</a> </i> &nbsp;
Hybrid EPSO K-Means Algorithm The usage of Exponential Particle Swarm Optimization with K-means algorithm is similar to that of PSO K-means Algorithm.  ...  We propose a hybrid algorithm which combines Exponential Particle Swarm Optimization (EPSO) with K-means.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3844/jcssp.2012.1874.1879">doi:10.3844/jcssp.2012.1874.1879</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ekrvtvqexve7rc2kkmuf4b2mcy">fatcat:ekrvtvqexve7rc2kkmuf4b2mcy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190429173425/https://thescipub.com/pdf/10.3844/jcssp.2012.1874.1879" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f4/b3/f4b35eb933c6c575304ea13c0f325ad6a89fe76f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3844/jcssp.2012.1874.1879"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Color Image Segmentation using Adaptive Particle Swarm Optimization and Fuzzy C-means [article]

Narayana Reddy A, Ranjita Das
<span title="2020-04-18">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Hence, APSOF algorithm has superior performance in comparison with classic Particle Swarm Optimization (PSO) and Fuzzy C-means clustering algorithm (FCM) for image segmentation.  ...  This paper presents a new image segmentation algorithm called Adaptive Particle Swarm Optimization and Fuzzy C-means Clustering Algorithm (APSOF), which is based on Adaptive Particle Swarm Optimization  ...  Hybrid algorithms like APSOF can improve over the standard Fuzzy C-means to obtain better image segmentation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.08547v1">arXiv:2004.08547v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p62keovbsfc3jgecmij5ky3lsi">fatcat:p62keovbsfc3jgecmij5ky3lsi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200428195319/https://arxiv.org/ftp/arxiv/papers/2004/2004.08547.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.08547v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

HYBRID FIREFLY SWARM INTELLIGENCE BASED FEATURE SELECTION FOR MEDICAL DATA CLASSIFICATION AND SEGMENTATION IN SVD - NSCT DOMAIN

B. Thamaraichelvi, G. Yamuna.
<span title="2016-09-30">2016</span> <i title="International Journal Of Advanced Research"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mmn4oevdbfbf5leqgrynhcypzm" style="color: black;">International Journal of Advanced Research</a> </i> &nbsp;
Acknowledgement :- The authors are thankful to the Department of Radiology, Raja Muthaiya Medical College and Hospital (RMMCH), Annamalai University for providing us with the required data.  ...  The images have also been collected from the data base http//:www.radiopaedia.org.  ...  The proposed mathematical model for hybrid particle swarm optimization and firefly algorithm is given by,      i best i best r k i k i x g rand x p e wV V ij         5 . 0 2 0 1    (8)  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21474/ijar01/1544">doi:10.21474/ijar01/1544</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p6t4un2fjffudaojkjug664nwu">fatcat:p6t4un2fjffudaojkjug664nwu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721144336/http://www.journalijar.com/uploads/406_IJAR-12276.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fd/01/fd0176894846c3c5a56d7ba9d4b6161288cc3d69.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21474/ijar01/1544"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Performance Measure of Human Skin Region Detection Based on Hybrid Particle Swarm Optimization

R. Vijayanandh, G. Balakrishnan
<span title="">2012</span> <i title="IACSIT Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/473y5rd3tfgnvnlxddqa5aqeoa" style="color: black;">Journal of clean energy technologies</a> </i> &nbsp;
This paper proposes an application of human skin region detection using Hybrid Particle Swarm Optimization (HPSO) algorithm. It consists of two steps.  ...  The experimental results has shown the efficiency of the proposed method. Index Terms-3D histogram, color space, hillclimbing segmentation with k-means, particle swarm optimization, PSNR.  ...  Chih-Cheng Hung and Li Wan [7] proposed the image classification by hybridization of Particle Swarm Optimization with the K-Means algorithm.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7763/ijcte.2012.v4.594">doi:10.7763/ijcte.2012.v4.594</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4yghbw54mjfbjdqz3fmotfgcsi">fatcat:4yghbw54mjfbjdqz3fmotfgcsi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829212035/http://ijcte.org/papers/594-A1038.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cb/72/cb724e2cbbd9bf36b98b957998c1359fcbd7d114.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7763/ijcte.2012.v4.594"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Hybridization of particle swarm optimization with the K-Means algorithm for clustering analysis

Hai Shen, Li Jin, Yunlong Zhu, Zhu Zhu
<span title="">2010</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/h72fryhosrcqxgabrwonzx4rly" style="color: black;">2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)</a> </i> &nbsp;
This paper presents a detailed overview of hybrid algorithms combining PSO with K Means algorithm for solving clustering problem.  ...  Recent years, particle swarm optimization (PSO) has successfully been applied to a number of real world clustering problems with the fast convergence and the effectively for high-dimensional data.  ...  Pumawan proposed a hybrid rough K-means PSO algorithm for image classification [ 18] . The rough theory establishes the lower bound, the upper bound and the threshold bound.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/bicta.2010.5645181">doi:10.1109/bicta.2010.5645181</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/bic-ta/ShenJZZ10.html">dblp:conf/bic-ta/ShenJZZ10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5a6pztu7vfdqrkec5apmizifii">fatcat:5a6pztu7vfdqrkec5apmizifii</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829000310/http://ir.sia.ac.cn/bitstream/173321/8360/2/HYQW000642.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/55/2a/552a76f3b0a9edff71bb6b7c9bcb733a79c06601.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/bicta.2010.5645181"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Research on particle swarm optimization based clustering: A systematic review of literature and techniques

Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Patricia Riddle, Saeed Ur Rehman
<span title="">2014</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4ctqi4x5bbaczleobj2rvn7lxe" style="color: black;">Swarm and Evolutionary Computation</a> </i> &nbsp;
In this paper we investigate the growth of literature in SI and its algorithms, particularly Particle Swarm Optimization (PSO). This paper makes two major contributions.  ...  We also provide an brief overview of our PSO-based hierarchical clustering approach (HPSO-clustering) and compare the results with traditional hierarchical agglomerative clustering (HAC), K-means, and  ...  [50] suggested a dynamic clustering algorithm based on PSO and K-means for image segmentation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.swevo.2014.02.001">doi:10.1016/j.swevo.2014.02.001</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7voplmfmjfdk5fujdhnfn32zfy">fatcat:7voplmfmjfdk5fujdhnfn32zfy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808235910/http://romisatriawahono.net/lecture/rm/survey/machine%20learning/Alam%20-%20PSO%20based%20Clustering%20-%202014.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ee/6e/ee6e2b3d0cfcc1f463d29142ebf1ac4afd2a37e2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.swevo.2014.02.001"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Swarm Intelligence and Image Segmentation [chapter]

Sara Saatchi, Chih-Cheng Hung
<span title="2007-12-01">2007</span> <i title="I-Tech Education and Publishing"> Swarm Intelligence, Focus on Ant and Particle Swarm Optimization </i> &nbsp;
Swarm Intelligence and K-means The Hybrid ACO-K-means Algorithm We propose a hybrid ACO-K-means algorithm which uses the ACO to improve the performance of the K-means algorithm for clustering.  ...  In this paper we will study the hybridization of PSO with each of the K-means and the SCL algorithms.  ...  Motivated by the capability of the biologically inspired algorithms the present book on "Swarm Intelligence: Focus on Ant and Particle Swarm Optimization" aims to present recent developments and applications  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/5103">doi:10.5772/5103</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pyaslp77ova3bjhpqobhynig4u">fatcat:pyaslp77ova3bjhpqobhynig4u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705140927/http://cdn.intechopen.com/pdfs/499.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b9/04/b904bc48dfb7ab7396446be05bc4db406944bace.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/5103"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A HYBRIDIZATION OF AN IMPROVED PARTICLE SWARM OPTIMIZATION AND FUZZY K-MEANS ALGORITHM FOR HYPERSPECTRAL IMAGE CLASSIFICATION

Q. Chen, J. Jiang, M. Du, L. Zhou, C. Jing, C. Lu
<span title="2019-06-05">2019</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i74shj7anreaxjo327fokng66m" style="color: black;">The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
</strong> A particle swarm optimization (PSO) algorithm has been widely used in the field of remote sensing image classification.  ...  We combine the crossover operator of genetic algorithms with PSO, and introduce the fuzzy membership degree of fuzzy mathematics into K-means clustering algorithm.  ...  The K-means algorithm is a clustering algorithm application in unsupervised image classification.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprs-archives-xlii-2-w13-1833-2019">doi:10.5194/isprs-archives-xlii-2-w13-1833-2019</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bfooukxic5a5lgkfdxwbd7g5ly">fatcat:bfooukxic5a5lgkfdxwbd7g5ly</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200216044555/https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/1833/2019/isprs-archives-XLII-2-W13-1833-2019.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8d/43/8d43431fb7a2d2d9369f97a485157defcd6d05d8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprs-archives-xlii-2-w13-1833-2019"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Classification of Remotely Sensed Data by Texture Features with the Nature-Inspire Optimization Algorithm

Shelly Rani
<span title="2019-08-31">2019</span> <i title="International Journal for Research in Applied Science and Engineering Technology (IJRASET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hsp44774azcezeyiq4kuzpfh5a" style="color: black;">International Journal for Research in Applied Science and Engineering Technology</a> </i> &nbsp;
The proposed methodology here includes an efficient feature extraction and further classification of the satellite images on the basis of these features using Particle Swarm Optimization, hybrid (PSO+ACO  ...  For the training Convolution Neural Network (CNN) is used. The various performance metrics have been determined and contrasted according to the recovered satellite images from the dataset.  ...  Particle Swarm Optimization (PSO) and Hybrid approach of Particle Swarm Optimization and Ant Colony Optimization (PSO +ACO) on satellite images.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2019.8140">doi:10.22214/ijraset.2019.8140</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/32re5aoxubcclg6cv7633vxnrq">fatcat:32re5aoxubcclg6cv7633vxnrq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200217023459/http://ijraset.com/fileserve.php?FID=24849" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fd/eb/fdebd9923610a04470f3b035d33596cd532bcdcd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2019.8140"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

A New K-Means Clustering Algorithm for Customer Classification in Precision Marketing

Xinwu Li, Xiaoling Du
<span title="2021-07-09">2021</span> <i title="Auricle Technologies, Pvt., Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/l4avcwao3zet3lpreuh6h6khle" style="color: black;">Converter</a> </i> &nbsp;
Firstly, integrates K-means algorithm with particle swarm optimization according to analyzing the source of the K-means calculation limitations; Secondly, improves the improved algorithm in its operation  ...  Theoriginal K-means algorithm is improved and applied in customer clustering in precision marketing.  ...  Acknowledgements Theresearch is funded by the The 12th Five Year Plan of Social Sciences in Jiangxi Province( hosted by Ye Hankun) and education department of Jiangxi Province (GJJ150458).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17762/converter.227">doi:10.17762/converter.227</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ovbi4ss7d5cxfichsb6ptidnc4">fatcat:ovbi4ss7d5cxfichsb6ptidnc4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210817104242/http://converter-magazine.info/index.php/converter/article/download/227/223" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/34/e8/34e84223d6eabba89fa342415ca621a56b9e0989.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17762/converter.227"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Detection of Brain Tumor by Particle Swarm Optimization using Image Segmentation

S. Mahalakshmi, T. Velmurugan
<span title="2015-09-07">2015</span> <i title="Indian Society for Education and Environment"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wffwpj3q45g5zfjzfeyagk5uea" style="color: black;">Indian Journal of Science and Technology</a> </i> &nbsp;
Methods/Statistical Analysis: This research work analyses about the detection and separation of brain tumor through Magnetic Resonance Imaging (MRI) medical images using Particle Swarm Optimization (PSO  ...  ), a heuristic global optimization method based on swarm intelligence.  ...  The work starts with an automatic classification system based on Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17485/ijst/2015/v8i22/79092">doi:10.17485/ijst/2015/v8i22/79092</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rljp3tfirfc7nd7q6kifuzdznu">fatcat:rljp3tfirfc7nd7q6kifuzdznu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190430095020/http://indjst.org/index.php/indjst/article/download/79092/61432" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17485/ijst/2015/v8i22/79092"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Swarm intelligent hyperdization biometric

Israa Mohammed Alhamdani, Yahya Ismail Ibrahim
<span title="2020-04-01">2020</span> <i title="Institute of Advanced Engineering and Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/trvfti3jm5hnxhei7rl7owpcqq" style="color: black;">Indonesian Journal of Electrical Engineering and Computer Science</a> </i> &nbsp;
This paper presents a sturdy combined technique which merges between Image Processing with Artificial Intelligent technique via Bird Swarm Optimization Algorithm (BSA) to recognize the human footprint.  ...  These features were extracted from each image and stored in Excel file to be entered into the Bird Swarm Algorithm.  ...  Pure Tabu Search (TS) & Hybride PSO Classification Qi Shen et al.2008 [23 ] Combined binary particle swarm optimization and K-NN Method for gene expression data and grouping problems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijeecs.v18.i1.pp385-395">doi:10.11591/ijeecs.v18.i1.pp385-395</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p2q4oilbwrd7xfpj2b5gtufwja">fatcat:p2q4oilbwrd7xfpj2b5gtufwja</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200507052637/http://ijeecs.iaescore.com/index.php/IJEECS/article/download/20256/13802" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/dd/77/dd77bc4a617ea36b43d0b722ad0878c7c0a83514.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijeecs.v18.i1.pp385-395"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

A hybrid sequential approach for data clustering using K-Means and particle swarm optimization algorithm

Sandeep Rana, Sanjay Jasola, Rajesh Kumar
<span title="2011-02-20">2011</span> <i title="African Journals Online (AJOL)"> International Journal of Engineering, Science and Technology </i> &nbsp;
In this paper, we present a new Hybrid Sequential clustering approach, which uses PSO in sequence with K-Means algorithm for data clustering.  ...  The obtained results are compared with K-Means, PSO, Hybrid, K-Means+Genetic Algorithm and it has been found that the proposed algorithm generates more accurate, robust and better clustering results.  ...  Particle Swarm Optimization (PSO) for data clustering. In this section we aim to propose a hybrid sequential clustering algorithm based on combining the K-Means algorithms and PSO algorithms.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4314/ijest.v2i6.63708">doi:10.4314/ijest.v2i6.63708</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zs7gocmr3zhttou5niurba4sdi">fatcat:zs7gocmr3zhttou5niurba4sdi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180723115748/https://www.ajol.info/index.php/ijest/article/download/63708/51535" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f9/d5/f9d5155866e4bec91d0fe98f0963613511ffa995.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4314/ijest.v2i6.63708"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

On Optimal Feature Selection Using Intelligent Optimization Methods for Image Steganalysis

Guoming Chen
<span title="2013-09-01">2013</span> <i title="Binary Information Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/khl4joostze6dntojligqiukxu" style="color: black;">Journal of Information and Computational Science</a> </i> &nbsp;
We compare harmony search algorithm and particle swarm optimization algorithm based feature selection for image steganalysis.  ...  Experiment results show that the proposed hybrid algorithm for feature selection is capable of increasing the testing accuracy of classifying result.  ...  In this study, a binary version of a PSO algorithm is used for particle swarm optimization.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12733/jics20102403">doi:10.12733/jics20102403</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/peutapb6vbeyrbk2lp3ajdffcm">fatcat:peutapb6vbeyrbk2lp3ajdffcm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20140309044406/http://www.joics.com:80/publishedpapers/2013_10_13_4145_4155.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2d/f1/2df14b730643ffeb30e51112c29a480fb9112940.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12733/jics20102403"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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