{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:29:10Z","timestamp":1740122950364,"version":"3.37.3"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2024,5,4]],"date-time":"2024-05-04T00:00:00Z","timestamp":1714780800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,5,4]],"date-time":"2024-05-04T00:00:00Z","timestamp":1714780800000},"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\/s11042-024-19250-4","type":"journal-article","created":{"date-parts":[[2024,5,4]],"date-time":"2024-05-04T04:01:43Z","timestamp":1714795303000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A novel normalized versatile based innovative controller for nonlinear biological systems"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3781-3462","authenticated-orcid":false,"given":"Wakchaure Vrushali","family":"Balasaheb","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaskar","family":"Uttam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,5,4]]},"reference":[{"key":"19250_CR1","doi-asserted-by":"publisher","first-page":"29965","DOI":"10.1007\/s11042-021-11187-2","volume":"80","author":"SK Mishra","year":"2021","unstructured":"Mishra SK, Singh KK, Dixit R et al (2021) Design of Fractional Calculus based differentiator for edge detection in color images. Multimed Tools Appl 80:29965\u201329983. https:\/\/doi.org\/10.1007\/s11042-021-11187-2","journal-title":"Multimed Tools Appl"},{"key":"19250_CR2","doi-asserted-by":"publisher","first-page":"17239","DOI":"10.1007\/s11042-020-09598-8","volume":"80","author":"Y Zhang","year":"2021","unstructured":"Zhang Y, Zhang S, He X et al (2021) DeepRibSt: a multi-feature convolutional neural network for predicting ribosome stalling. Multimed Tools Appl 80:17239\u201317255. https:\/\/doi.org\/10.1007\/s11042-020-09598-8","journal-title":"Multimed Tools Appl"},{"key":"19250_CR3","doi-asserted-by":"publisher","first-page":"13753","DOI":"10.1007\/s11042-019-08563-4","volume":"79","author":"M Shojaei","year":"2020","unstructured":"Shojaei M, Rezaei M (2020) FJND-based fuzzy rate control of scalable video for streaming applications. Multimed Tools Appl 79:13753\u201313773. https:\/\/doi.org\/10.1007\/s11042-019-08563-4","journal-title":"Multimed Tools Appl"},{"issue":"10","key":"19250_CR4","doi-asserted-by":"publisher","first-page":"2861","DOI":"10.1109\/TBME.2019.2897285","volume":"66","author":"C Davi","year":"2019","unstructured":"Davi C, Pastor A, Oliveira T et al (2019) Severe dengue prognosis using human genome data and machine learning. IEEE Trans Biomed Eng 66(10):2861\u20132868. https:\/\/doi.org\/10.1109\/TBME.2019.2897285","journal-title":"IEEE Trans Biomed Eng"},{"key":"19250_CR5","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1016\/j.fbp.2019.02.006","volume":"115","author":"A Yousefi-Darani","year":"2019","unstructured":"Yousefi-Darani A, Paquet-Durand O, Hitzmann B (2019) Application of fuzzy logic control for the dough proofing process. Food Bioprod Process 115:36\u201346. https:\/\/doi.org\/10.1016\/j.fbp.2019.02.006","journal-title":"Food Bioprod Process"},{"issue":"3","key":"19250_CR6","doi-asserted-by":"publisher","first-page":"883","DOI":"10.1109\/TBME.2013.2291777","volume":"61","author":"K Turksoy","year":"2013","unstructured":"Turksoy K, Quinn L, Littlejohn E (2013) Multivariable adaptive identification and control for artificial pancreas systems. IEEE Trans Biomed Eng 61(3):883\u2013891. https:\/\/doi.org\/10.1109\/TBME.2013.2291777","journal-title":"IEEE Trans Biomed Eng"},{"issue":"3","key":"19250_CR7","doi-asserted-by":"publisher","first-page":"87","DOI":"10.3923\/ajaps.2016.87.96","volume":"9","author":"S Side","year":"2016","unstructured":"Side S, Sanusi W, Aidid MK, Sidjara S (2016) Global stability of SIR and SEIR model for Tuberculosis disease transmission with Lyapunov function method. Asian J Appl Sci 9(3):87\u201396","journal-title":"Asian J Appl Sci"},{"issue":"2","key":"19250_CR8","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1049\/iet-syb.2018.5016","volume":"13","author":"H Delavari","year":"2018","unstructured":"Delavari H, Heydarinejad H, Baleanu D (2018) Adaptive fractional-order blood glucose regulator based on high-order sliding mode observer. IET Syst Biol 13(2):43\u201354. https:\/\/doi.org\/10.1049\/iet-syb.2018.5016","journal-title":"IET Syst Biol"},{"issue":"10","key":"19250_CR9","doi-asserted-by":"publisher","first-page":"795","DOI":"10.1007\/s00521-016-2605-0","volume":"29","author":"F Zhang","year":"2018","unstructured":"Zhang F, Yang C, Zhou X, Gui W (2018) Fractional-order PID controller tuning using continuous state transition algorithm. Neural Comput Appl 29(10):795\u2013804. https:\/\/doi.org\/10.1007\/s00521-016-2605-0","journal-title":"Neural Comput Appl"},{"key":"19250_CR10","doi-asserted-by":"publisher","first-page":"73","DOI":"10.5815\/ijisa.2016.07.08","volume":"7","author":"A Soukkou","year":"2016","unstructured":"Soukkou A, Belhour MC, Leulmi S (2016) Review, design, optimization and stability analysis of fractional-order PID controller. Int J Intell Syst Appl 7:73\u201396. https:\/\/doi.org\/10.5815\/ijisa.2016.07.08","journal-title":"Int J Intell Syst Appl"},{"key":"19250_CR11","doi-asserted-by":"publisher","unstructured":"Quinn KN, Clement CB (2019) Visualizing probabilistic models and data with Intensive Principal Component Analysis. Proc Natl Acad Sci 201817218. https:\/\/doi.org\/10.1073\/pnas.1817218116","DOI":"10.1073\/pnas.1817218116"},{"issue":"10","key":"19250_CR12","doi-asserted-by":"publisher","first-page":"779","DOI":"10.3390\/e20100779","volume":"20","author":"R Urniezius","year":"2018","unstructured":"Urniezius R, Galvanauskas V, Survyla A, Simutis R (2018) From physics to bioengineering: microbial cultivation process design and feeding rate control based on relative entropy using nuisance time. Entropy 20(10):779. https:\/\/doi.org\/10.3390\/e20100779","journal-title":"Entropy"},{"issue":"2","key":"19250_CR13","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1109\/LCSYS.2018.2867368","volume":"3","author":"APS Darlington","year":"2018","unstructured":"Darlington APS, Kim J, Bates DG (2018) Robustness analysis of a synthetic translational resource allocation controller. IEEE Control Syst Lett 3(2):266\u2013271. https:\/\/doi.org\/10.1109\/LCSYS.2018.2867368","journal-title":"IEEE Control Syst Lett"},{"key":"19250_CR14","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.bspc.2018.07.016","volume":"47","author":"I Ahmad","year":"2019","unstructured":"Ahmad I, Munir F, Munir MF (2019) An adaptive backstepping based non-linear controller for artificial pancreas in type 1 diabetes patients. Biomed Signal Process Control 47:49\u201356. https:\/\/doi.org\/10.1016\/j.bspc.2018.07.016","journal-title":"Biomed Signal Process Control"},{"key":"19250_CR15","doi-asserted-by":"publisher","DOI":"10.1109\/LCSYS.2019.2918977","author":"NMG Paulino","year":"2019","unstructured":"Paulino NMG, Foo M, Kim J (2019) PID and state feedback controllers using DNA strand displacement reactions. IEEE Control Syst Lett. https:\/\/doi.org\/10.1109\/LCSYS.2019.2918977","journal-title":"IEEE Control Syst Lett"},{"issue":"7\u20139","key":"19250_CR16","doi-asserted-by":"publisher","first-page":"731","DOI":"10.1140\/epjst\/e2018-800023-6","volume":"227","author":"PP Singh","year":"2018","unstructured":"Singh PP, Singh KM, Roy BK (2018) Chaos control in biological system using recursive backstepping sliding mode control. Eur Phys J Spec Top 227(7\u20139):731\u2013746. https:\/\/doi.org\/10.1140\/epjst\/e2018-800023-6","journal-title":"Eur Phys J Spec Top"},{"key":"19250_CR17","doi-asserted-by":"publisher","first-page":"69447","DOI":"10.1109\/ACCESS.2019.2907201","volume":"7","author":"RS Butt","year":"2019","unstructured":"Butt RS, Ahmad I, Iftikhar R, Arsalan M (2019) Integral backstepping and synergetic control for tracking of infected cells during early antiretroviral therapy. IEEE Access 7:69447\u201369455. https:\/\/doi.org\/10.1109\/ACCESS.2019.2907201","journal-title":"IEEE Access"},{"key":"19250_CR18","doi-asserted-by":"publisher","DOI":"10.1007\/s00422-021-00860-2","author":"D Biswas","year":"2021","unstructured":"Biswas D, Iglesias PA (2021) Sensitivity minimization, biological homeostasis and information theory. Biol Cybern. https:\/\/doi.org\/10.1007\/s00422-021-00860-2","journal-title":"Biol Cybern"},{"key":"19250_CR19","doi-asserted-by":"publisher","unstructured":"Tao B, Xiao M (2017) PID control at bifurcation in a single-gene regulatory model with delays. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, pp 5156\u20135161. https:\/\/doi.org\/10.1109\/IECON.2017.8216891","DOI":"10.1109\/IECON.2017.8216891"},{"issue":"2","key":"19250_CR20","doi-asserted-by":"publisher","first-page":"171966","DOI":"10.1098\/rsos.171966","volume":"5","author":"F Mairet","year":"2018","unstructured":"Mairet F (2018) A biomolecular proportional integral controller based on feedback regulations of protein level and activity. Royal Soc Open Sci 5(2):171966. https:\/\/doi.org\/10.1098\/rsos.171966","journal-title":"Royal Soc Open Sci"},{"key":"19250_CR21","doi-asserted-by":"publisher","unstructured":"Daftardar-Gejji V (ed) (2019) Fractional calculus and fractional differential equations.\u00a0Springer, Singapore. https:\/\/doi.org\/10.1007\/978-981-13-9227-6","DOI":"10.1007\/978-981-13-9227-6"},{"key":"19250_CR22","doi-asserted-by":"publisher","first-page":"116665","DOI":"10.1016\/j.energy.2019.116665","volume":"19s2","author":"A Naderipour","year":"2020","unstructured":"Naderipour A, Abdul-Malek Z, Gandoman FH (2020) Optimal designing of static var compensator to improve voltage profile of power system using fuzzy logic control. Energy 19s2:116665. https:\/\/doi.org\/10.1016\/j.energy.2019.116665","journal-title":"Energy"},{"key":"19250_CR23","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2921779","author":"C Wang","year":"2019","unstructured":"Wang C, Pedrycz W, Yang JB (2019) Wavelet frame-based fuzzy C-means clustering for segmenting images on graphs. IEEE Trans Cybern. https:\/\/doi.org\/10.1109\/TCYB.2019.2921779","journal-title":"IEEE Trans Cybern"},{"key":"19250_CR24","doi-asserted-by":"publisher","unstructured":"Singh B, Urooj S, Sharma R (2018) Closed-loop blood glucose control for type I diabetes patients using PID controller. Microelectronics, electromagnetics and telecommunications, Springer, Singapore, pp 225\u2013232. https:\/\/doi.org\/10.1007\/978-981-10-7329-8_23","DOI":"10.1007\/978-981-10-7329-8_23"},{"key":"19250_CR25","doi-asserted-by":"publisher","first-page":"380","DOI":"10.1016\/j.procs.2019.05.002","volume":"152","author":"S Urooj","year":"2019","unstructured":"Urooj S, Singh B (2019) Fractional-order PID control for postoperative mean arterial blood pressure control scheme. Procedia Comput Sci 152:380\u2013389. https:\/\/doi.org\/10.1016\/j.procs.2019.05.002","journal-title":"Procedia Comput Sci"},{"key":"19250_CR26","doi-asserted-by":"publisher","first-page":"106241","DOI":"10.1016\/j.asoc.2020.106241","volume":"91","author":"A Mohammadzadeh","year":"2020","unstructured":"Mohammadzadeh A, Kumbasar T (2020) A new fractional-order general type-2 fuzzy predictive control system and its application for glucose level regulation. Appl Soft Comput 91:106241. https:\/\/doi.org\/10.1016\/j.asoc.2020.106241","journal-title":"Appl Soft Comput"},{"key":"19250_CR27","doi-asserted-by":"publisher","first-page":"105167","DOI":"10.1016\/j.cmpb.2019.105167","volume":"185","author":"R Sharma","year":"2020","unstructured":"Sharma R, Deepak KK, Gaur K, Joshi D (2020) An optimal interval type-2 fuzzy logic control based closed-loop drug administration to regulate the mean arterial blood pressure. Comput Methods Programs Biomed 185:105167. https:\/\/doi.org\/10.1016\/j.cmpb.2019.105167","journal-title":"Comput Methods Programs Biomed"},{"issue":"7","key":"19250_CR28","doi-asserted-by":"publisher","first-page":"1826","DOI":"10.1109\/TFUZZ.2020.2985930","volume":"29","author":"C Wang","year":"2020","unstructured":"Wang C, Pedrycz W, Zhou MC (2020) Sparse Regularization-based fuzzy C-means clustering incorporating morphological grayscale reconstruction and wavelet frames. IEEE Trans Fuzzy Syst 29(7):1826\u20131840. https:\/\/doi.org\/10.1109\/TFUZZ.2020.2985930","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"2","key":"19250_CR29","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1109\/TNNLS.2018.2846646","volume":"30","author":"S Gao","year":"2018","unstructured":"Gao S, Zhou M, Wang Y, Cheng J, Yachi H, Wang J (2018) Dendritic neuron model with effective learning algorithms for classification, approximation, and prediction. IEEE Trans Neural Netw Learn Syst 30(2):601\u2013614. https:\/\/doi.org\/10.1109\/TNNLS.2018.2846646","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"6","key":"19250_CR30","first-page":"57","volume":"9","author":"T Allahviranloo","year":"2012","unstructured":"Allahviranloo T, Saneifard R (2012) Defuzzification method for ranking fuzzy numbers based on center of gravity. Iran J Fuzzy Syst 9(6):57\u201367","journal-title":"Iran J Fuzzy Syst"},{"key":"19250_CR31","doi-asserted-by":"publisher","first-page":"114","DOI":"10.59543\/ijmscs.v2i.8703","volume":"2","author":"AM Ali","year":"2024","unstructured":"Ali AM, Mohammed MA (2024) A comprehensive review of artificial intelligence approaches in omics data processing: evaluating progress and challenges. Int J Math Stat Comput Sci 2:114\u2013167","journal-title":"Int J Math Stat Comput Sci"},{"key":"19250_CR32","doi-asserted-by":"publisher","first-page":"104932","DOI":"10.1016\/j.chemolab.2023.104932","volume":"241","author":"MA Mohammed","year":"2023","unstructured":"Mohammed MA, Lakhan A, Abdulkareem KH, Garcia-Zapirain B (2023) Federated auto-encoder and XGBoost schemes for multi-omics cancer detection in distributed fog computing paradigm. Chemom Intell Lab Syst 241:104932","journal-title":"Chemom Intell Lab Syst"},{"issue":"4","key":"19250_CR33","doi-asserted-by":"publisher","first-page":"664","DOI":"10.3390\/diagnostics13040664","volume":"13","author":"MA Mohammed","year":"2023","unstructured":"Mohammed MA, Abdulkareem KH, Dinar AM, Zapirain BG (2023) Rise of deep learning clinical applications and challenges in omics data: A systematic review. Diagnostics 13(4):664","journal-title":"Diagnostics"},{"key":"19250_CR34","doi-asserted-by":"publisher","first-page":"106617","DOI":"10.1016\/j.compbiomed.2023.106617","volume":"154","author":"MA Mohammed","year":"2023","unstructured":"Mohammed MA, Lakhan A, Abdulkareem KH, Garcia-Zapirain B (2023) A hybrid cancer prediction based on multi-omics data and reinforcement learning state action reward state action (SARSA). Comput Biol Med 154:106617","journal-title":"Comput Biol Med"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-024-19250-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-024-19250-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-024-19250-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,4]],"date-time":"2024-05-04T04:11:36Z","timestamp":1714795896000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-024-19250-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,4]]},"references-count":34,"alternative-id":["19250"],"URL":"https:\/\/doi.org\/10.1007\/s11042-024-19250-4","relation":{},"ISSN":["1573-7721"],"issn-type":[{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2024,5,4]]},"assertion":[{"value":"29 October 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 March 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 April 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 May 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"All the authors involved have agreed to participate in this submitted article.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"All the authors involved in this manuscript give full consent for publication of this submitted article.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to publish"}},{"value":"Authors declare that they have no conflict of interest.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}