{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T12:42:12Z","timestamp":1766580132250},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T00:00:00Z","timestamp":1694044800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T00:00:00Z","timestamp":1694044800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-023-16656-4","type":"journal-article","created":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T10:01:56Z","timestamp":1694080916000},"page":"28657-28673","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A color constancy based flower classification method in the blockchain data lake"],"prefix":"10.1007","volume":"83","author":[{"given":"Xueqing","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yifan","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guigang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,9,7]]},"reference":[{"key":"16656_CR1","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1016\/j.neucom.2014.05.011","volume":"145","author":"K Cheng","year":"2014","unstructured":"Cheng K, Tan X (2014) Sparse representations based attribute learning for flower classification. Neurocomputing 145:416\u2013426. https:\/\/doi.org\/10.1016\/j.neucom.2014.05.011","journal-title":"Neurocomputing"},{"key":"16656_CR2","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1515\/jbcpp-2016-0018","volume":"28","author":"P Ansari","year":"2017","unstructured":"Ansari P, Uddin MJ, Akther S, Azam S, Mahmud MK, Azad S, Hannan J (2017) Investigation of antinociceptive activity of methanolic extract of persicaria orientalis leaves in rodents. J Basic Clin Physiol Pharmacol 28:171\u2013179. https:\/\/doi.org\/10.1515\/jbcpp-2016-0018","journal-title":"J Basic Clin Physiol Pharmacol"},{"key":"16656_CR3","doi-asserted-by":"publisher","unstructured":"Akimov M, Luk\u2019 yanchuk I, Zhbanova E, Lyzhin A (2020) Strawberry fruit (fragaria ananassa duch.) as a valuable source of nutritional and bio-logically active substances (review). Chemistry of Plant Raw Material, 5\u201318. https:\/\/doi.org\/10.14258\/jcprm.2020015511","DOI":"10.14258\/jcprm.2020015511"},{"key":"16656_CR4","doi-asserted-by":"crossref","unstructured":"Brohi M (2021) Integration of iot and blockchain. Technium Romanian Journal of Applied Sciences and Technology 3: 32\u201341. https:\/\/doi.org\/10.47577\/technium.v3i8.4692","DOI":"10.47577\/technium.v3i8.4692"},{"key":"16656_CR5","doi-asserted-by":"publisher","unstructured":"Hasan MT, Miraz M, Sumi F, Sarkar S (2021) A blockchain research review. 07:26\u201335. https:\/\/doi.org\/10.18488\/journal.89.2021.71.26.35","DOI":"10.18488\/journal.89.2021.71.26.35"},{"key":"16656_CR6","doi-asserted-by":"publisher","unstructured":"Nathan S, Govindarajan C, Saraf A, Sethi M, Jayachandran P (2019) Blockchain meets database: design and implementation of a blockchain relational database. Proceedings of the VLDB Endowment 12: 1539\u20131552. https:\/\/doi.org\/10.14778\/3342263.3342632","DOI":"10.14778\/3342263.3342632"},{"key":"16656_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4103\/IJAM.IJAM_12_18","volume":"4","author":"S Stawicki","year":"2018","unstructured":"Stawicki S, Firstenberg M, Papadimos T (2018) What\u2019s new in academic medicine blockchain technology in health-care: bigger, better, fairer, faster, and leaner. International Journal of Academic Medicine 4:1\u201311. https:\/\/doi.org\/10.4103\/IJAM.IJAM_12_18","journal-title":"International Journal of Academic Medicine"},{"key":"16656_CR8","doi-asserted-by":"publisher","unstructured":"Vangala A, Das AK, Kumar N, Alazab M (2020) Smart secure sensing for iot-based agriculture: blockchain perspective. IEEE Sensors J pp 1\u20131. https:\/\/doi.org\/10.1109\/JSEN.2020.3012294","DOI":"10.1109\/JSEN.2020.3012294"},{"key":"16656_CR9","doi-asserted-by":"publisher","unstructured":"Ren P, Li S, Hou W, Zheng W, Li Z, Cui Q, Chang W, Li X, Zeng C, Sheng M, Zhang Y (2021) MHDP: an efficient data lake platform for medical multi-source heterogeneous data, pp 727\u2013738. https:\/\/doi.org\/10.1007\/978-3-030-87571-8_63","DOI":"10.1007\/978-3-030-87571-8_63"},{"key":"16656_CR10","doi-asserted-by":"publisher","unstructured":"Panwar A, Bhatnagar V (2020) Scrutinize the idea of Hadoop-based data lake for big data storage, pp 365\u2013391. https:\/\/doi.org\/10.1007\/978-981-15-3357-0_24","DOI":"10.1007\/978-981-15-3357-0_24"},{"key":"16656_CR11","doi-asserted-by":"crossref","unstructured":"Ouellette P, Sciortino A, Nargesian F, Ghadiri Bashardoost B, Zhu E, Pu K, Miller R (2021) Ronin: data lake exploration. Proceedings of the VLDB Endowment 14:2863\u20132866. https:\/\/doi.org\/10.14778\/3476311.3476364","DOI":"10.14778\/3476311.3476364"},{"key":"16656_CR12","doi-asserted-by":"publisher","unstructured":"Rocca L, Veneziani M, Teodori C, Kopylova M (2021) Blockchain, pp 147\u2013157. https:\/\/doi.org\/10.1007\/978-3-030-80737-5_11","DOI":"10.1007\/978-3-030-80737-5_11"},{"key":"16656_CR13","doi-asserted-by":"publisher","unstructured":"Nawaz A (2021) Blockchain of things (bcot): data management using blockchain technology. PhD thesis (September 2021). https:\/\/doi.org\/10.13140\/RG.2.2.32733.54243\/1","DOI":"10.13140\/RG.2.2.32733.54243\/1"},{"key":"16656_CR14","doi-asserted-by":"crossref","unstructured":"Mhaisen N, Fetais N, Erbad A, Mohamed A, Guizani M (2020) To chain or not to chain: A reinforcement learning approach for blockchain-enabled iot monitoring applications. Futur Gener Comput Syst 111","DOI":"10.1016\/j.future.2020.04.035"},{"key":"16656_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2021.3090410","volume":"60","author":"UA Bhatti","year":"2022","unstructured":"Bhatti UA, Yu Z, Chanussot J, Zeeshan Z, Yuan L, Luo W, Nawaz SA, Bhatti MA, Ain QU, Mehmood A (2022) Local similarity-based spatial-spectral fusion hyperspectral image classification with deep cnn and gabor filtering. IEEE Trans Geosci Remote Sens 60:1\u201315. https:\/\/doi.org\/10.1109\/TGRS.2021.3090410","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"16656_CR16","doi-asserted-by":"crossref","unstructured":"Huang M, Huang S, Zhang Y, Bhatti U (2020) Medical image segmentation using deep learning with feature enhancement. IET Image Process 14(5)","DOI":"10.1049\/iet-ipr.2019.0772"},{"key":"16656_CR17","first-page":"251","volume":"74","author":"J Davis","year":"2014","unstructured":"Davis J, Pensky M (2014) Model selection for classification with a large number of classes. Springer Proceedings in Mathematics and Statistics 74:251\u2013257","journal-title":"Springer Proceedings in Mathematics and Statistics"},{"key":"16656_CR18","doi-asserted-by":"crossref","unstructured":"Angelova A, Zhu S (2013) Efficient object detection and segmentation for fine-grained recognition. In: Computer vision and pattern recognition (CVPR), 2013 IEEE conference on, pp 811\u2013818","DOI":"10.1109\/CVPR.2013.110"},{"key":"16656_CR19","doi-asserted-by":"publisher","first-page":"105766","DOI":"10.1016\/j.compbiomed.2022.105766","volume":"147","author":"S Azadifar","year":"2022","unstructured":"Azadifar S, Rostami M, Berahmand K, Moradi P, Oussalah M (2022) Graph-based relevancy-redundancy gene selection method for cancer diagnosis. Comput Biol Med 147:105766. https:\/\/doi.org\/10.1016\/j.compbiomed.2022.105766","journal-title":"Comput Biol Med"},{"key":"16656_CR20","doi-asserted-by":"publisher","first-page":"104210","DOI":"10.1016\/j.engappai.2021.104210","volume":"100","author":"M Rostami","year":"2021","unstructured":"Rostami M, Berahmand K, Nasiri E, Forouzandeh S (2021) Review of swarm intelligence-based feature selection methods. Eng Appl Artif Intell 100:104210. https:\/\/doi.org\/10.1016\/j.engappai.2021.104210","journal-title":"Eng Appl Artif Intell"},{"key":"16656_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11042-022-12943-8","volume":"82","author":"E Nasiri","year":"2022","unstructured":"Nasiri E, Berahmand K, Li Y (2022) Robust graph regularization nonnegative matrix factorization for link prediction in attributed networks. Multimedia Tools and Applications 82:1\u201324. https:\/\/doi.org\/10.1007\/s11042-022-12943-8","journal-title":"Multimedia Tools and Applications"},{"key":"16656_CR22","unstructured":"Yuan P, Li W, Ren S, Xu H (2018) Recognition for flower type and variety of chrysanthemum with convolutional neural network. Nongye Gongcheng Xuebao\/Transactions of the Chinese Society of Agricultural Engineering 34:152\u2013158. https:\/\/doi.org\/10.11975\/j.issn.1002-6819.2018.05.020"},{"key":"16656_CR23","doi-asserted-by":"publisher","unstructured":"Wang D, Shen Z, Shao J, Zhang W, Xue X, Zhang Z (2015) Multiple granularity descriptors for fine-grained categorization, pp 2399\u20132406. https:\/\/doi.org\/10.1109\/ICCV.2015.276","DOI":"10.1109\/ICCV.2015.276"},{"key":"16656_CR24","doi-asserted-by":"crossref","unstructured":"Wang X, Hu Q, Zhang Y, Zhang G, Juan W, Xing C (2018) A kind of decision model research based on big data and blockchain in eHealth: 15th international conference, WISA 2018, Taiyuan, China, September 14-15, 2018, proceedings, pp 300\u2013306","DOI":"10.1007\/978-3-030-02934-0_28"},{"key":"16656_CR25","doi-asserted-by":"crossref","unstructured":"Gimenez-Aguilar M, Fuentes J, Gonzalez-Manzano L, Arroyo D (2021) Achieving cybersecurity in blockchain-based systems: a survey. Futur Gener Comput Syst 124(6)","DOI":"10.1016\/j.future.2021.05.007"},{"key":"16656_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10586-020-03216-w","volume":"24","author":"V Puri","year":"2021","unstructured":"Puri V, Priyadarshini I, Kumar R, Le C (2021) Smart contract based policies for the internet of things. Clust Comput 24:1\u201320. https:\/\/doi.org\/10.1007\/s10586-020-03216-w","journal-title":"Clust Comput"},{"key":"16656_CR27","doi-asserted-by":"publisher","unstructured":"Zhang C, Zhu L, Xu C, Sharif K (2020) Prvb: achieving privacy-preserving and reliable vehicular crowdsensing via blockchain oracle. IEEE Trans Veh Technol 1\u20131. https:\/\/doi.org\/10.1109\/TVT.2020.3046027","DOI":"10.1109\/TVT.2020.3046027"},{"key":"16656_CR28","doi-asserted-by":"publisher","unstructured":"Laurent A, Laurent D, Madera C (2020). Data lakes. https:\/\/doi.org\/10.1002\/9781119720430","DOI":"10.1002\/9781119720430"},{"key":"16656_CR29","doi-asserted-by":"publisher","first-page":"1447","DOI":"10.1109\/CVPR.2006.42","volume":"2","author":"M-E Nilsback","year":"2006","unstructured":"Nilsback M-E (2006) Zisserman A. A visual vocabulary for flower classification 2:1447\u20131454. https:\/\/doi.org\/10.1109\/CVPR.2006.42","journal-title":"A visual vocabulary for flower classification"},{"key":"16656_CR30","doi-asserted-by":"publisher","first-page":"40333","DOI":"10.1371\/journal.pone.0040333","volume":"7","author":"B Meier","year":"2012","unstructured":"Meier B, D\u2019Agostino P, Elliot A, Maier M, Wilkowski B (2012) Color in context: psychological context moderates the influence of red on approach- and avoidance-motivated behavior. PloS one 7:40333. https:\/\/doi.org\/10.1371\/journal.pone.0040333","journal-title":"PloS one"},{"key":"16656_CR31","doi-asserted-by":"publisher","unstructured":"Elliot A (2012) Maier M. Color-in-ontext Theory 45:61\u2013125. https:\/\/doi.org\/10.1016\/B978-0-12-394286-9.00002-0","DOI":"10.1016\/B978-0-12-394286-9.00002-0"},{"key":"16656_CR32","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1016\/j.ejpain.2009.07.001","volume":"14","author":"C Meregalli","year":"2009","unstructured":"Meregalli C, Canta A, Carozzi V, Chiorazzi A, Oggioni N, Gilardini A, Ceresa C, Avezza F, Crippa L, Marmiroli P, Cavaletti G (2009) Bortezomib-induced painful neuropathy in rats: a behavioral, neurophysiological and pathological study in rats. European Journal of Pain (London, England) 14:343\u201350. https:\/\/doi.org\/10.1016\/j.ejpain.2009.07.001","journal-title":"European Journal of Pain (London, England)"},{"key":"16656_CR33","unstructured":"Smith J, Lin T, Ranson KJ (1980) The lambertian assumption and landsat data. Photogrammetric Engineering and Remote Sensing 46"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-16656-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-16656-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-16656-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T03:16:35Z","timestamp":1709781395000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-16656-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,7]]},"references-count":33,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2024,3]]}},"alternative-id":["16656"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-16656-4","relation":{},"ISSN":["1573-7721"],"issn-type":[{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,7]]},"assertion":[{"value":"23 March 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 June 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 August 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 September 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}}]}}