{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T09:30:26Z","timestamp":1762507826037},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"19","license":[{"start":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T00:00:00Z","timestamp":1565049600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T00:00:00Z","timestamp":1565049600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2019,10]]},"DOI":"10.1007\/s00500-019-04262-2","type":"journal-article","created":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T06:06:35Z","timestamp":1565071595000},"page":"9045-9048","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Cognitive data science methods and models for engineering applications"],"prefix":"10.1007","volume":"23","author":[{"given":"Arun Kumar","family":"Sangaiah","sequence":"first","affiliation":[]},{"given":"Hoang","family":"Pham","sequence":"additional","affiliation":[]},{"given":"Mu-Yen","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Huimin","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Francesco","family":"Mercaldo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,8,6]]},"reference":[{"key":"4262_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-3508-z","author":"D Agarwal","year":"2018","unstructured":"Agarwal D, Singh P, Li X, Kumari S (2018) Optimality criteria for fuzzy-valued fractional multi-objective optimization problem. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-018-3508-z","journal-title":"Soft Comput"},{"key":"4262_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-04061-9","author":"MS Al-Asaly","year":"2019","unstructured":"Al-Asaly MS, Hassan MM, Alsanad A (2019) A cognitive\/intelligent resource provisioning for cloud computing services: opportunities and challenges. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-019-04061-9","journal-title":"Soft Comput"},{"key":"4262_CR3","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-3618-7","author":"N Arunkumar","year":"2018","unstructured":"Arunkumar N, Mohammed MA, Ghani MKA, Ibrahim DA, Abdulhay E, Ramirez-Gonzalez G, de Albuquerque VHC (2018) K-means clustering and neural network for object detecting and identifying abnormality of brain tumor. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-018-3618-7","journal-title":"Soft Comput"},{"key":"4262_CR4","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-03787-w","author":"YF Chen","year":"2019","unstructured":"Chen YF, Gao Z, Zhou H, Wang Y, Zhang T, Che K, Xiang ZT (2019) Traffic flow guidance algorithm in intelligent transportation systems considering the effect of non-floating vehicle. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-019-03787-w","journal-title":"Soft Comput"},{"key":"4262_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-3621-z","author":"ER Devi","year":"2018","unstructured":"Devi ER, Suganthe RC (2018) Improved relevance vector machine (IRVM) classifier for intrusion detection system. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-018-3621-z","journal-title":"Soft Comput"},{"key":"4262_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-03709-2","author":"G Jaswal","year":"2018","unstructured":"Jaswal G, Nigam A, Kaul A, Nath R, Singh AK (2018) Bring your own hand: how a single sensor is bringing multiple biometrics together. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-018-03709-2","journal-title":"Soft Comput"},{"key":"4262_CR7","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-03722-5","author":"H Jin","year":"2019","unstructured":"Jin H (2019) Data processing model and performance analysis of cognitive computing based on machine learning in Internet environment. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-018-03722-5","journal-title":"Soft Comput"},{"key":"4262_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-3573-3","author":"J Jung","year":"2018","unstructured":"Jung J, Yi G (2018) A performance analysis of genome search by matching whole targeted reads on different environments. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-018-3573-3","journal-title":"Soft Comput"},{"key":"4262_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-3607-x","author":"W Li","year":"2018","unstructured":"Li W, Qu F, Wang Y, Wang L, Chen Y (2018) A robust lane detection method based on hyperbolic model. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-018-3607-x","journal-title":"Soft Comput"},{"key":"4262_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-3602-2","author":"M Lu","year":"2018","unstructured":"Lu M, Liu S (2018) Nucleosome positioning based on generalized relative entropy. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-018-3602-2","journal-title":"Soft Comput"},{"key":"4262_CR11","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-03798-7","author":"MSR Nalluri","year":"2019","unstructured":"Nalluri MSR, Kannan K, Gao XZ, Roy DS (2019) An efficient hybrid meta-heuristic approach for cell formation problem. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-019-03798-7","journal-title":"Soft Comput"},{"key":"4262_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-3574-2","author":"LN Omran","year":"2018","unstructured":"Omran LN, Ezzat KA, Elhoseny M, Hassanien AE (2018) Biomechanics of artificial intervertebral disc with different materials using finite element method. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-018-3574-2","journal-title":"Soft Comput"},{"key":"4262_CR13","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-03778-x","author":"P Qin","year":"2019","unstructured":"Qin P, Zhang J, Zeng J, Liu H, Cui Y (2019) A framework combining DNN and level-set method to segment brain tumor in multi-modalities MR image. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-019-03778-x","journal-title":"Soft Comput"},{"key":"4262_CR14","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-03796-9","author":"S Raju","year":"2019","unstructured":"Raju S, Chandrasekaran M (2019) Performance analysis of efficient data distribution in P2P environment using hybrid clustering techniques. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-019-03796-9","journal-title":"Soft Comput"},{"key":"4262_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-3491-4","author":"EDS Rebou\u00e7as","year":"2018","unstructured":"Rebou\u00e7as EDS, Marques RC, Braga AM, Oliveira SA, de Albuquerque VHC, Rebou\u00e7as Filho PP (2018) New level set approach based on Parzen estimation for stroke segmentation in skull CT images. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-018-3491-4","journal-title":"Soft Comput"},{"key":"4262_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-3609-8","author":"W Si","year":"2018","unstructured":"Si W, Yang G, Chen X, Jia J (2018) Gait identification using fractal analysis and support vector machine. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-018-3609-8","journal-title":"Soft Comput"},{"key":"4262_CR17","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-03759-0","author":"R Tan","year":"2019","unstructured":"Tan R, Zhang Y (2019) Road network-based region of interest mining and social relationship recommendation. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-019-03759-0","journal-title":"Soft Comput"},{"key":"4262_CR18","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-04123-y","author":"A Tramontano","year":"2019","unstructured":"Tramontano A, Scala M, Magliulo M (2019) Wearable devices for health-related quality of life evaluation. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-019-04123-y","journal-title":"Soft Comput"},{"key":"4262_CR19","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-03950-3","author":"CW Tsai","year":"2019","unstructured":"Tsai CW, Chang WY, Wang YC, Chen H (2019) A high-performance parallel coral reef optimization for data clustering. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-019-03950-3","journal-title":"Soft Comput"},{"key":"4262_CR20","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-3644-5","author":"SS Udmale","year":"2018","unstructured":"Udmale SS, Patil SS, Phalle VM, Singh SK (2018) A bearing vibration data analysis based on spectral kurtosis and ConvNet. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-018-3644-5","journal-title":"Soft Comput"},{"key":"4262_CR21","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-3497-y","author":"JJ Winston","year":"2018","unstructured":"Winston JJ, Hemanth DJ (2018) A comprehensive review on iris image-based biometric system. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-018-3497-y","journal-title":"Soft Comput"},{"key":"4262_CR22","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-03893-9","author":"S Wu","year":"2019","unstructured":"Wu S, Wu W, Yang X, Lu L, Liu K, Jeon G (2019) Multifocus image fusion using random forest and hidden Markov model. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-019-03893-9","journal-title":"Soft Comput"},{"key":"4262_CR23","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-03788-9","author":"ZT Xiang","year":"2019","unstructured":"Xiang ZT, Gao Z, Zhang T, Che K, Chen YF (2019) An improved two-lane cellular automaton traffic model based on BL-STCA model considering the dynamic lane-changing probability. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-019-03788-9","journal-title":"Soft Comput"},{"key":"4262_CR24","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-3608-9","author":"Q Xu","year":"2018","unstructured":"Xu Q, Li M, Yu M (2018) Learning to rank with relational graph and pointwise constraint for cross-modal retrieval. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-018-3608-9","journal-title":"Soft Comput"},{"key":"4262_CR25","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-03833-7","author":"W Zhong","year":"2019","unstructured":"Zhong W, Deng Y, Machado JT, Zhang C, Zhao K, Wang X (2019) Strength prediction of similar materials to ionic rare earth ores based on orthogonal test and back propagation neural network. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-019-03833-7","journal-title":"Soft Comput"},{"key":"4262_CR26","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-3599-6","author":"J Zhu","year":"2018","unstructured":"Zhu J, Wang J, Zhang Y, Jiang Y (2018) Virtual machine migration method based on load cognition. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-018-3599-6","journal-title":"Soft Comput"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-019-04262-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-019-04262-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-019-04262-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,4]],"date-time":"2020-08-04T23:16:38Z","timestamp":1596582998000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-019-04262-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,6]]},"references-count":26,"journal-issue":{"issue":"19","published-print":{"date-parts":[[2019,10]]}},"alternative-id":["4262"],"URL":"https:\/\/doi.org\/10.1007\/s00500-019-04262-2","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,8,6]]},"assertion":[{"value":"6 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}