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| 1 | Synergistic fibroblast optimization: a novel nature-inspired computing algorithm显示文摘The evolutionary algorithm, a subset of computational intelligence techniques, is a generic population-based stochastic optimization algorithm which uses a mechanism motivated by biological concepts. Bio-inspired computing can implement successful optimization methods and adaptation approaches, which are inspired by the natural evolution and collective behavior observed in species, respectively. Although all the meta-heuristic algorithms have different inspirational sources, their objective is to find the optimum(minimum or maximum), which is problem-specific. We propose and evaluate a novel synergistic fibroblast optimization(SFO) algorithm, which exhibits the behavior of a fibroblast cellular organism in the dermal wound-healing process. Various characteristics of benchmark suites are applied to validate the robustness, reliability, generalization, and comprehensibility of SFO in diverse and complex situations. The encouraging results suggest that the collaborative and self-adaptive behaviors of fibroblasts have intellectually found the optimum solution with several different features that can improve the effectiveness of optimization strategies for solving non-linear complicated problems. | T T DHIVYAPRABHA P SUBASHINI M KRISHNAVENI | 2018 | Frontiers of Information Technology & Electronic Engineering2018，19，7： | 2 |
| 2 | Comparison of filters used for underwater image pre-processing显示文摘 | PADMAVATHI G SUBASHINI P KUMAR M M | 2010 | International Journal of Computer Science and Network Security2010，10，1： | 1 |
| 3 | , Comparison of filters used for underwater image pre-processing 显示文摘 | G Padmavathi P Subashini M M Kumar | 2010 | IJCSNS International Journal of Computer Science and Network Security2010，10，1： | 1 |
| 4 | Compari- son of filters used for underwater image pre-processing 显示文摘 | Padmavathi G Subashini P Kumar M M | 2010 | International Journal of Computer Science and Net- work Security2010，10，1： | 1 |
| 5 | Refined families of Dothideomycetes:orders and families incertae sedis in Dothideomycetes显示文摘Numerous new taxa and classifications of Dothideomycetes have been published following the last monograph of families of Dothideomycetes in 2013.A recent publication by Honsanan et al.in 2020 expanded information of families in Dothideo-mycetidae and Pleosporomycetidae with modern classifications.In this paper,we provide a refined updated document on orders and families incertae sedis of Dothideomycetes.Each family is provided with an updated description,notes,including figures to represent the morphology,a list of accepted genera,and economic and ecological significances.We also provide phylogenetic trees for each order.In this study,31 orders which consist 50 families are assigned as orders incertae sedis in Dothideomycetes,and 41 families are treated as families incertae sedis due to lack of molecular or morphological evidence.The new order,Catinellales,and four new families,Catinellaceae,Morenoinaceae Neobuelliellaceae and Thyrinulaceae are introduced.Seven genera(Neobuelliella,Pseudomicrothyrium,Flagellostrigula,Swinscowia,Macroconstrictolumina,Pseudobogoriella,and Schummia)are introduced.Seven new species(Acrospermum urticae,Bogoriella complexoluminata,Dothiorella ostryae,Dyfrolomyces distoseptatus,Macroconstrictolumina megalateralis,Patellaria microspora,and Pseu-domicrothyrium thailandicum)are introduced base on morphology and phylogeny,together with two new records/reports and five new collections from different families.Ninety new combinations are also provided in this paper. | Sinang Hongsanan Kevin D.Hyde Rungtiwa Phookamsak Dhanushka N.Wanasinghe Eric H.C.McKenzie V.Venkateswara Sarma Robert Lücking Saranyaphat Boonmee Jayarama D.Bhat Ning-Guo Liu Danushka S.Tennakoon Dhandevi Pem Anuruddha Karunarathna Shu-Hua Jiang Gareth E.B.Jones Alan J.L.Phillips Ishara S.Manawasinghe Saowaluck Tibpromma Subashini C.Jayasiri Diana Sandamali Ruvishika S.Jayawardena Nalin N.Wijayawardene Anusha H.Ekanayaka Rajesh Jeewon Yong-Zhong Lu Chayanard Phukhamsakda Asha J.Dissanayake Xiang-Yu Zeng Zong-Long Luo Qing Tian Kasun M.Thambugala Dongqin Dai Milan C.Samarakoon K.W.Thilini Chethana Damien Ertz Mingkwan Doilom Jian-Kui(Jack)Liu Sergio Pérez-Ortega Ave Suija Chanokned Senwanna Subodini N.Wijesinghe Mekala Niranjan Sheng-Nan Zhang Hiran A.Ariyawansa Hong-Bo Jiang Jin-Feng Zhang Chada Norphanphoun Nimali Ide Silva Vinodhini Thiyagaraja Huang Zhang Jadson D.P.Bezerra Ricardo Miranda-González AndréAptroot Hiroyuki Kashiwadani Dulanjalee Harishchandra Emmanuël Sérusiaux Pranami DAbeywickrama Dan-Feng Bao Bandarupalli Devadatha Hai-Xia Wu Kwang Hee Moon Cecile Gueidan Felix Schumm Digvijayini Bundhun Ausana Mapook Jutamart Monkai Chitrabhanu S.Bhunjun Putarak Chomnunti Satinee Suetrong Napalai Chaiwan Monika C.Dayarathne Jing Yang Achala R.Rathnayaka Jian-Chu Xu Jiesheng Zheng Gang Liu Yao Feng Ning Xie | 2020 | Fungal Diversity2020，，6： | 1 |
| 6 | Comparison of filters used for underwater image pre-processing显示文摘 | Padmavathi G Subashini P Muthu Kumar M | 2010 | International Journal of Computer Science and Network Security2010，10，1： | 1 |
| 7 | Comparison of filters used for underwater image pre-pm- cessing 显示文摘 | PADMAVATHI G SUBASHINI P KUMAR M M | 2010 | IJCSNS International Journal of Computer Science and Network Security2010，10，1： | 1 |
| 8 | Data acquisition system of 8-channel temperature scanner using power line carrier communication显示文摘 | SATHYAPRIYA J SUBASHINI C RUBINI P | 2014 | International Journal of Advanced Research in Computer and Communication Engineering2014，3，2： | 1 |
| 9 | An optimal method for wake detection in SAR images using Radon transformation combined with wavelet filters显示文摘 | Krishnaveni M Thakur S K and Subashini P | 2009 | Inter- national Journal of Computer Science and Inforznation Security2009，6，1： | 1 |
| 10 | An optimal binarization algorithm based on Particle Swarm Optimization显示文摘 | Subashini P Sridevi N | 2011 | International Journal on Soft Computing and Engineering ( IJSCE)2011，，： | 1 |
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