INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Bio-inspired optimization algorithm is a major research area in the fields of computational intelligence, soft computing, and optimization. Bio-inspired Algorithm (BIAs) has been successfully applied in many filed such as sciences, medical and engineering fields by the interest of researchers. Given the success of bio-inspired optimization algorithm methods and techniques in big data analysis applications, it is expected that they can also be successfully applied in healthcare . The evolving, dynamic and meta-heuristics nature of BIAs makes it more robust, accurate and efficient in solving image processing problems. However finding the appropriate BIAs that matches the problem at hand is a tedious and difficult task. The main idea of the proposed Exponential Particle Swarm Optimization algorithm is to prevent local solutions and find correct global optimal solutions for medical images segmentation task
"BIO INSPIRED OPTIMIZATION ALGORITHMS USING SOFT COMPUTING METHODS FOR MEDICAL IMAGE SEGMENTATIONS", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.3, Issue 5, page no.67-74, May-2018, Available :http://www.ijnrd.org/papers/IJNRD1805014.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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