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79 results for “PSO”
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Research ArticleOpen accessEvery word in the titleA New Cooperative Algorithm Based on PSO and K-Means for Data ClusteringMehdi Neshat, Shima Farshchian Yazdi, Daneyal Yazdani, Mehdi SargolzaeiProblem statement: Data clustering has been applied in multiple fields such as machine learning, data mining, wireless sensor networks and pattern recognition. One of the most famous clustering approaches is K-means which effectively has been used in many clustering problems, but this algorithm has some drawbacks such as local optimal convergence and sensitivity to initial points. Approach: Particle Swarm Optimization … …Journal of Computer Science, Vol. 8, Issue 2 · 19 Nov 2011 · 7,967 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGeneralized Shortest Path Problem in Uncertain Environment Based on PSOHayder A. Mukhef, Ekhlas M. Farhan, Mohammed R. JassimGeneralized network problems describe situations in which flow can be generated or consumed through arcs. This research considers generalized shortest path problem in stochastic environment in which the changing rate of flow is random. To satisfy the demands of decision makers, three types of models have been formulated to solve the generalized shortest path problem under different decision criteria. The … …Journal of Computer Science, Vol. 4, Issue 4 · 30 Apr 2008 · 6,749 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSerum TGF-β and TNF-α During Psoriasis Therapy with Narrowband Ultraviolet BAhmad Taha Khalaf, Yan YuehuaAlthough it is now an accepted concept that narrow-band UVB therapy is an efficacious therapy for psoriasis, the relationship between the response rate and the potential effects on serum cytokines is less well-established. The purpose of this study was to investigate the correlation between the response rate and the changes of serum TGF-β and TNF-α necessary for understanding the underlying … …American Journal of Applied Sciences, Vol. 11, Issue 12 · 6 Jan 2015 · 6,088 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePsoriasis Detection Using Skin Color and Texture FeaturesNidhal K. El Abbadi, Nizar Saadi Dahir, Muhsin A. AL-Dhalimi, Hind RestomProblem statement: In this study a skin disease diagnosis system was developed and tested. The system was used for diagnosis of psoriases skin disease. Approach: Present study relied on both skin color and texture features (features derives from the GLCM) to give a better and more efficient recognition accuracy of skin diseases. We used feed forward neural networks to classify … …Journal of Computer Science, Vol. 6, Issue 6 · 30 Jun 2010 · 8,290 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMorphological Characteristics and Pathogenicity of Synchytrium psophocarpi (Rac.) Baumann Associated With False Rust on Winged BeanAbdollah Karami, Zainal Abidin Mior Ahmad, Kamaruzaman SijamProblem statement: Winged bean (Psophocarpus tetragonolobus L.) is an important tropical legume in countries like Malaysia due to its potential as a high protein value crop. However, bright-orange pustules observed on the veins of young leaves, stems, pods and sepals depict symptoms of false rust disease on beans. The causal agent of this disease has been found to be Synchytrium … …American Journal of Applied Sciences, Vol. 6, Issue 11 · 30 Nov 2009 · 9,577 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNarrow-band ultraviolet B and Conventional UVB phototherapy in Psoriasis: a Randomised Controlled TrialYan Yuehua, Ahmad T. Khalaf, Zhai Xiaoxiang, Wang XinggangThe narrow-band (NB-UVB) was developed for use in phototherapy, as an alternative to a broad-band UVB source and to photochemotherapy, both of which have significant side effects and carry a risk of carcinogenesis. NB-UVB is a new phototherapy option that has proved to be particularly effective at clearing psoriasis vulgaris, with a reduced capacity to produce erythema. This study was … …American Journal of Applied Sciences, Vol. 5, Issue 8 · 31 Aug 2008 · 6,950 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleUnderwater Fused Image Classification Using Deep Learning Based Resnet and Hybrid PSO + HHO ModelDevika Sarath, M. SucharithaIn image fusion, multiple images are combined into one with minimal distortion and data loss. Image fusion forms a highly configured image with good results. The image fusion technique is employed in various domains, including remote sensing, robotics, medical applications, and underwater image processing. The focus of this study is on a unique underwater image fusion approach that allows for … …Journal of Computer Science, Vol. 19, Issue 4 · 24 Mar 2023 · 5,844 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEfficiency of Hybrid MPPT Techniques Based on ANN and PSO for Photovoltaic Systems under Partially Shading ConditionsMax Tatsuhiko Mitsuya, Anderson Alvarenga de Moura MenesesHybrid Maximum Power Point Tracking (MPPT) algorithms have been investigated as an alternative to improve the performance of conventional MPPT, such as Perturb and Observe (P&O), Incremental Conductance (InC) and Hill Climbing (HC) in Photovoltaic (PV) systems under Partially Shading Co+ndition (PSC). In the present article, Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) hybridized with P&O algorithm for … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 4 · 3 Oct 2019 · 8,888 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMemory Convergence and Optimization with Fuzzy PSO and ACSSubhash C. Pandey, Dr. P. MisraAssociative neural memories are models of biological phenomena that allow for the storage of pattern associations and the retrieval of the desired output pattern upon presentation of a possibly noisy or incomplete version of an input pattern. In this study, we introduce fuzzy swarm particle optimization technique for convergence of associative neural memories based on fuzzy set theory. A Fuzzy … …Journal of Computer Science, Vol. 4, Issue 2 · 28 Feb 2008 · 7,169 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOrigin Detection of Illicium Verum Hook. f. Based on Sensor Array OptimizationPang Tao, Lv Lu, Chen Xiaoyan et al.In order to improve the identification ability of electronic nosetostar anise from different areas, this study uses sensor array optimization, Particle Swarm Optimization (PSO) and Support Vector Machine (SVM) to effectively improve the discrimination and prediction ability of electronic nose. Firstly, the initial sensor arrays are selected according to the aroma components of star anise. On the basis of extracting … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 1 · 21 Jan 2022 · 6,434 accessesView PDFCite