{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T09:00:15Z","timestamp":1774515615735,"version":"3.50.1"},"reference-count":63,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,10,8]],"date-time":"2022-10-08T00:00:00Z","timestamp":1665187200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,10,8]],"date-time":"2022-10-08T00:00:00Z","timestamp":1665187200000},"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":["Neural Process Lett"],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1007\/s11063-022-11045-8","type":"journal-article","created":{"date-parts":[[2022,10,8]],"date-time":"2022-10-08T09:02:52Z","timestamp":1665219772000},"page":"4365-4396","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Neuro-Evolutionary Computing Paradigm for the SIR Model Based on Infection Spread and Treatment"],"prefix":"10.1007","volume":"55","author":[{"given":"J. F.","family":"G\u00f3mez-Aguilar","sequence":"first","affiliation":[]},{"given":"Zulqurnain","family":"Sabir","sequence":"additional","affiliation":[]},{"given":"Manal","family":"Alqhtani","sequence":"additional","affiliation":[]},{"given":"Muhammad","family":"Umar","sequence":"additional","affiliation":[]},{"given":"Khaled M.","family":"Saad","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,10,8]]},"reference":[{"key":"11045_CR1","unstructured":"Diekmann O, Heesterbeek JAP (2000) Mathematical epidemiology of infectious diseases: model building, analysis and interpretation (vol 5). John Wiley & Sons, London"},{"issue":"12","key":"11045_CR2","doi-asserted-by":"crossref","first-page":"12431","DOI":"10.1016\/j.aej.2022.06.013","volume":"61","author":"K Mukdasai","year":"2022","unstructured":"Mukdasai K, Sabir Z, Raja MAZ, Sadat R, Ali MR, Singkibud P (2022) A numerical simulation of the fractional order Leptospirosis model using the supervise neural network. Alex Eng J 61(12):12431\u201312441","journal-title":"Alex Eng J"},{"key":"11045_CR3","doi-asserted-by":"crossref","unstructured":"Brauer F, Castillo-Chavez C, Castillo-Chavez C (2001) Mathematical models in population biology and epidemiology (vol 40, pp xxiv+-416).Springer, New York","DOI":"10.1007\/978-1-4757-3516-1"},{"key":"11045_CR4","first-page":"34","volume":"83","author":"P Bhattacharya","year":"2015","unstructured":"Bhattacharya P, Paul S, Biswas P (2015) Mathematical modeling of treatment SIR model with respect to variable contact rate. Int Proc Econ Develop Res 83:34","journal-title":"Int Proc Econ Develop Res"},{"issue":"1","key":"11045_CR5","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1111\/j.1467-842X.1988.tb00464.x","volume":"30","author":"K Dietz","year":"1988","unstructured":"Dietz K (1988) The first epidemic model: a historical note on PD En\u2019ko. Australian J Stat 30(1):56\u201365","journal-title":"Australian J Stat"},{"issue":"4","key":"11045_CR6","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1137\/S0036144500371907","volume":"42","author":"HW Hethcote","year":"2000","unstructured":"Hethcote HW (2000) The mathematics of infectious diseases. SIAM Rev 42(4):599\u2013653","journal-title":"SIAM Rev"},{"issue":"2","key":"11045_CR7","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/0040-5809(77)90025-9","volume":"11","author":"K Wickwire","year":"1977","unstructured":"Wickwire K (1977) Mathematical models for the control of pests and infectious diseases: a survey. Theor Popul Biol 11(2):182\u2013238","journal-title":"Theor Popul Biol"},{"issue":"2","key":"11045_CR8","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1016\/j.biosystems.2006.09.038","volume":"90","author":"H Zhang","year":"2007","unstructured":"Zhang H, Jiao J, Chen L (2007) Pest management through continuous and impulsive control strategies. Biosystems 90(2):350\u2013361","journal-title":"Biosystems"},{"issue":"2\u20133","key":"11045_CR9","first-page":"261","volume":"127","author":"P \u00d6gren","year":"2002","unstructured":"\u00d6gren P, Martin CF (2002) Vaccination strategies for epidemics in highly mobile populations. Appl Math Comput 127(2\u20133):261\u2013276","journal-title":"Appl Math Comput"},{"key":"11045_CR10","doi-asserted-by":"crossref","unstructured":"Goufo D, Franc E, Oukouomi Noutchie SC, Mugisha S (2014) A fractional SEIR epidemic model for spatial and temporal spread of measles in metapopulations. Abstract Appl Anal 2014, Hindawi","DOI":"10.1155\/2014\/781028"},{"issue":"3","key":"11045_CR11","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/0303-2647(92)90079-E","volume":"26","author":"RE Mickens","year":"1992","unstructured":"Mickens RE (1992) A discrete-time model for the spread of periodic diseases without immunity. Biosystems 26(3):193\u2013198","journal-title":"Biosystems"},{"key":"11045_CR12","doi-asserted-by":"crossref","DOI":"10.1016\/j.rinp.2021.104235","volume":"25","author":"M Umar","year":"2021","unstructured":"Umar M, Sabir Z, Raja MAZ, Baskonus HM, Yao SW, Ilhan E (2021) A novel study of Morlet neural networks to solve the nonlinear HIV infection system of latently infected cells. Results in Physics 25:104235","journal-title":"Results in Physics"},{"issue":"4","key":"11045_CR13","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1002\/oca.710","volume":"23","author":"HR Joshi","year":"2002","unstructured":"Joshi HR (2002) Optimal control of an HIV immunology model. Opt Control Appl Methods 23(4):199\u2013213","journal-title":"Opt Control Appl Methods"},{"issue":"1","key":"11045_CR14","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1137\/S0036139995293270","volume":"59","author":"J M\u00fcller","year":"1998","unstructured":"M\u00fcller J (1998) Optimal vaccination patterns in age-structured populations. SIAM J Appl Math 59(1):222\u2013241","journal-title":"SIAM J Appl Math"},{"issue":"1","key":"11045_CR15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s44196-021-00057-2","volume":"15","author":"Z Sabir","year":"2022","unstructured":"Sabir Z, Raja MAZ, Mahmoud SR, Balubaid M, Algarni A, Alghtani AH, Aly AA, Le DN (2022) A novel design of morlet wavelet to solve the dynamics of nervous stomach nonlinear model. Int J Comput Intell Syst 15(1):1\u201315","journal-title":"Int J Comput Intell Syst"},{"key":"11045_CR16","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2022.103594","volume":"75","author":"Z Sabir","year":"2022","unstructured":"Sabir Z, Botmart T, Raja MAZ, Sadat R, Ali MR, Alsulami AA, Alghamdi A (2022) Artificial neural network scheme to solve the nonlinear influenza disease model. Biomed Signal Process Control 75:103594","journal-title":"Biomed Signal Process Control"},{"issue":"3","key":"11045_CR17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1140\/epjp\/s13360-022-02525-w","volume":"137","author":"AN Akkilic","year":"2022","unstructured":"Akkilic AN, Sabir Z, Raja MAZ, Bulut H (2022) Numerical treatment on the new fractional-order SIDARTHE COVID-19 pandemic differential model via neural networks. The European Physical Journal Plus 137(3):1\u201314","journal-title":"The European Physical Journal Plus"},{"issue":"3","key":"11045_CR18","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1504\/IJBET.2018.094122","volume":"27","author":"GT Reddy","year":"2018","unstructured":"Reddy GT, Khare N (2018) Heart disease classification system using optimised fuzzy rule based algorithm. Int J Biomed Eng Technol 27(3):183\u2013202","journal-title":"Int J Biomed Eng Technol"},{"issue":"3","key":"11045_CR19","doi-asserted-by":"crossref","first-page":"139","DOI":"10.3390\/fractalfract6030139","volume":"6","author":"T Botmart","year":"2022","unstructured":"Botmart T, Sabir Z, Raja MAZ, Weera W, Sadat R, Ali MR (2022) A numerical study of the fractional order dynamical nonlinear susceptible infected and quarantine differential model using the stochastic numerical approach. Fractal Fract 6(3):139","journal-title":"Fractal Fract"},{"key":"11045_CR20","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1016\/j.asoc.2019.04.022","volume":"80","author":"M Umar","year":"2019","unstructured":"Umar M et al (2019) Intelligent computing for numerical treatment of nonlinear prey\u2013predator models. Appl Soft Comput 80:506\u2013524","journal-title":"Appl Soft Comput"},{"key":"11045_CR21","doi-asserted-by":"crossref","unstructured":"Sabir Z (2021) Stochastic numerical investigations for nonlinear three-species food chain system. Int J Biomath, p 2250005","DOI":"10.1142\/S179352452250005X"},{"key":"11045_CR22","doi-asserted-by":"crossref","unstructured":"Sabir Z, Ali MR, Sadat R (2022) Gudermannian neural networks using the optimization procedures of genetic algorithm and active set approach for the three-species food chain nonlinear model. J Ambient Intell Human Comput, pp1\u201310","DOI":"10.1007\/s12652-021-03638-3"},{"issue":"1","key":"11045_CR23","doi-asserted-by":"crossref","first-page":"351","DOI":"10.3934\/mbe.2022018","volume":"19","author":"Z Sabir","year":"2022","unstructured":"Sabir Z, Raja MAZ, Alnahdi AS, Jeelani MB, Abdelkawy MA (2022) Numerical investigations of the nonlinear smoke model using the Gudermannian neural networks. Math Biosci Eng 19(1):351\u2013370","journal-title":"Math Biosci Eng"},{"key":"11045_CR24","volume":"32","author":"T Saeed","year":"2022","unstructured":"Saeed T, Sabir Z, Alhodaly MS, Alsulami HH, S\u00e1nchez YG (2022) An advanced heuristic approach for a nonlinear mathematical based medical smoking model. Res Phys 32:105137","journal-title":"Res Phys"},{"key":"11045_CR25","doi-asserted-by":"crossref","unstructured":"Sabir Z, Raja MAZ, Shoaib M, Sadat R, Ali MR (2022) A novel design of a sixth-order nonlinear modeling for solving engineering phenomena based on neuro intelligence algorithm. Eng Comput, pp1\u201316","DOI":"10.1007\/s00366-021-01596-0"},{"key":"11045_CR26","doi-asserted-by":"crossref","unstructured":"Sabir Z, Raja MAZ, Nguyen TG, Fathurrochman I, Sadat R, Ali MR (2022) Applications of neural networks for the novel designed of nonlinear fractional seventh order singular system. Eur Phys J Special Top, pp1\u201315","DOI":"10.1140\/epjs\/s11734-022-00457-1"},{"key":"11045_CR27","doi-asserted-by":"crossref","unstructured":"Sabir Z, Ali MR, Fathurrochman I, Raja MAZ, Sadat R, Baleanu D (2022) Dynamics of multi-point singular fifth-order Lane\u2013Emden system with neuro-evolution heuristics. Evol Syst, pp1\u201312","DOI":"10.1007\/s12530-021-09413-1"},{"issue":"4","key":"11045_CR28","doi-asserted-by":"crossref","first-page":"176","DOI":"10.3390\/fractalfract5040176","volume":"5","author":"Z Sabir","year":"2021","unstructured":"Sabir Z, Wahab HA, Javeed S, Baskonus HM (2021) an efficient stochastic numerical computing framework for the nonlinear higher order singular models. Fractal Fractional 5(4):176","journal-title":"Fractal Fractional"},{"key":"11045_CR29","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.renene.2015.11.065","volume":"89","author":"F Pelletier","year":"2016","unstructured":"Pelletier F, Masson C, Tahan A (2016) Wind turbine power curve modelling using artificial neural network. Renew Energy 89:207\u2013214","journal-title":"Renew Energy"},{"key":"11045_CR30","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1016\/j.asoc.2015.10.015","volume":"38","author":"MAZ Raja","year":"2016","unstructured":"Raja MAZ, Farooq U, Chaudhary NI, Wazwaz AM (2016) Stochastic numerical solver for nanofluidic problems containing multi-walled carbon nanotubes. Appl Soft Comput 38:561\u2013586","journal-title":"Appl Soft Comput"},{"issue":"8","key":"11045_CR31","doi-asserted-by":"crossref","first-page":"1434","DOI":"10.1016\/j.ins.2009.12.016","volume":"180","author":"S Effati","year":"2010","unstructured":"Effati S, Pakdaman M (2010) Artificial neural network approach for solving fuzzy differential equations. Inf Sci 180(8):1434\u20131457","journal-title":"Inf Sci"},{"key":"11045_CR32","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.asoc.2018.01.009","volume":"65","author":"Z Sabir","year":"2018","unstructured":"Sabir Z et al (2018) Neuro-heuristics for nonlinear singular Thomas-Fermi systems. Appl Soft Comput 65:152\u2013169","journal-title":"Appl Soft Comput"},{"issue":"9","key":"11045_CR33","doi-asserted-by":"crossref","first-page":"364","DOI":"10.1140\/epjp\/i2018-12153-4","volume":"133","author":"MAZ Raja","year":"2018","unstructured":"Raja MAZ, Umar M, Sabir Z, Khan JA, Baleanu D (2018) A new stochastic computing paradigm for the dynamics of nonlinear singular heat conduction model of the human head. Eur Phys J Plus 133(9):364","journal-title":"Eur Phys J Plus"},{"issue":"3","key":"11045_CR34","doi-asserted-by":"crossref","first-page":"793","DOI":"10.1007\/s00521-017-3110-9","volume":"31","author":"MAZ Raja","year":"2019","unstructured":"Raja MAZ, Mehmood J, Sabir Z, Nasab AK, Manzar MA (2019) Numerical solution of doubly singular nonlinear systems using neural networks-based integrated intelligent computing. Neural Comput Appl 31(3):793\u2013812","journal-title":"Neural Comput Appl"},{"issue":"10","key":"11045_CR35","doi-asserted-by":"crossref","first-page":"1533","DOI":"10.1109\/TCAD.2013.2263039","volume":"32","author":"Z Zhang","year":"2013","unstructured":"Zhang Z, El-Moselhy TA, Elfadel IM, Daniel L (2013) Stochastic testing method for transistor-level uncertainty quantification based on generalized polynomial chaos. IEEE Trans Comput Aided Des Integr Circuits Syst 32(10):1533\u20131545","journal-title":"IEEE Trans Comput Aided Des Integr Circuits Syst"},{"key":"11045_CR36","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1016\/j.enbuild.2015.12.050","volume":"121","author":"C Deb","year":"2016","unstructured":"Deb C, Eang LS, Yang J, Santamouris M (2016) Forecasting diurnal cooling energy load for institutional buildings using Artificial Neural Networks. Energy Buildings 121:284\u2013297","journal-title":"Energy Buildings"},{"issue":"3","key":"11045_CR37","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1162\/evco.1994.2.3.221","volume":"2","author":"N Srinivas","year":"1994","unstructured":"Srinivas N, Deb K (1994) Muilti-objective optimization using no dominated sorting in genetic algorithms. Evol Comput 2(3):221\u2013248","journal-title":"Evol Comput"},{"key":"11045_CR38","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.jtice.2018.05.046","volume":"91","author":"A Mehmood","year":"2018","unstructured":"Mehmood A et al (2018) Design of neuro-computing paradigms for nonlinear nanofluidic systems of MHD Jeffery-Hamel flow. J Taiwan Inst Chem Eng 91:57\u201385","journal-title":"J Taiwan Inst Chem Eng"},{"issue":"4","key":"11045_CR39","doi-asserted-by":"crossref","first-page":"1492","DOI":"10.3390\/en15041492","volume":"15","author":"A Eisenmann","year":"2022","unstructured":"Eisenmann A, Streubel T, Rudion K (2022) Power quality mitigation via smart demand-side management based on a genetic algorithm. Energies 15(4):1492","journal-title":"Energies"},{"key":"11045_CR40","doi-asserted-by":"crossref","unstructured":"Sridhar R, Chandrasekaran M, Sriramya C, Page T (2017) Optimization of heterogeneous Bin packing using adaptive genetic algorithm. In: IOP conference series: materials science and engineering, vol 183(1), p 012026. IOP Publishing","DOI":"10.1088\/1757-899X\/183\/1\/012026"},{"key":"11045_CR41","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.asoc.2018.02.024","volume":"67","author":"A Mehmood","year":"2018","unstructured":"Mehmood A et al (2018) Intelligent computing to analyze the dynamics of magnetohydrodynamic flow over stretchable rotating disk model. Appl Soft Comput 67:8\u201328","journal-title":"Appl Soft Comput"},{"key":"11045_CR42","doi-asserted-by":"crossref","unstructured":"Das S, Chaudhuri S, Das AK (2017) Optimal set of overlapping clusters using multi-objective genetic algorithm. In: Proceedings of the 9th international conference on machine learning and computing, pp 232\u2013237. ACM","DOI":"10.1145\/3055635.3056653"},{"key":"11045_CR43","unstructured":"Vaishnav P, Choudhary N, Jain K (2017) Traveling salesman problem using genetic algorithm: a survey"},{"issue":"6","key":"11045_CR44","doi-asserted-by":"crossref","first-page":"1905","DOI":"10.1007\/s00521-016-2806-6","volume":"30","author":"MAZ Raja","year":"2018","unstructured":"Raja MAZ, Mehmood A, Niazi SA, Shah SM (2018) Computational intelligence methodology for the analysis of RC circuit modelled with nonlinear differential order system. Neural Comput Appl 30(6):1905\u20131924","journal-title":"Neural Comput Appl"},{"issue":"3","key":"11045_CR45","doi-asserted-by":"crossref","first-page":"751","DOI":"10.1007\/s00521-017-3107-4","volume":"31","author":"A Munir","year":"2019","unstructured":"Munir A et al (2019) Intelligent computing approach to analyze the dynamics of wire coating with Oldroyd 8-constant fluid. Neural Comput Appl 31(3):751\u2013775","journal-title":"Neural Comput Appl"},{"key":"11045_CR46","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.csite.2016.07.004","volume":"8","author":"AV Azad","year":"2016","unstructured":"Azad AV, Azad NV (2016) Application of nanofluids for the optimal design of shell and tube heat exchangers using genetic algorithm. Case Stud Thermal Eng 8:198\u2013206","journal-title":"Case Stud Thermal Eng"},{"issue":"1","key":"11045_CR47","doi-asserted-by":"crossref","first-page":"929","DOI":"10.1007\/s00521-016-2400-y","volume":"28","author":"I Ahmad","year":"2017","unstructured":"Ahmad I et al (2017) Neural network methods to solve the Lane-Emden type equations arising in thermodynamic studies of the spherical gas cloud model. Neural Comput Appl 28(1):929\u2013944","journal-title":"Neural Comput Appl"},{"issue":"1","key":"11045_CR48","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1007\/s00521-017-2982-z","volume":"31","author":"I Ahmad","year":"2019","unstructured":"Ahmad I et al (2019) Heuristic computational intelligence approach to solve nonlinear multiple singularity problem of sixth Painlev\u00e9 equation. Neural Comput Appl 31(1):101\u2013115","journal-title":"Neural Comput Appl"},{"issue":"2","key":"11045_CR49","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1140\/epjp\/s13360-021-01171-y","volume":"136","author":"Z Sabir","year":"2021","unstructured":"Sabir Z, Khalique CM, Raja MAZ, Baleanu D (2021) Evolutionary computing for nonlinear singular boundary value problems using neural network, genetic algorithm and active-set algorithm. Eur Phys J Plus 136(2):1\u201319","journal-title":"Eur Phys J Plus"},{"issue":"2","key":"11045_CR50","doi-asserted-by":"crossref","first-page":"1847","DOI":"10.1007\/s40314-017-0425-1","volume":"37","author":"MR Sicre","year":"2018","unstructured":"Sicre MR, Svaiter BF (2018) A $$\\mathcal {O}(1\/k^{3\/2}) $$ hybrid proximal extragradient primal\u2013dual interior point method for nonlinear monotone mixed complementarity problems. Comput Appl Math 37(2):1847\u20131876","journal-title":"Comput Appl Math"},{"issue":"5","key":"11045_CR51","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1080\/0305215X.2017.1355367","volume":"50","author":"M Stefanova","year":"2018","unstructured":"Stefanova M, Yakunin S, Petukhova M, Lupuleac S, Kokkolaras M (2018) An interior-point method-based solver for simulation of aircraft parts riveting. Eng Optim 50(5):781\u2013796","journal-title":"Eng Optim"},{"key":"11045_CR52","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1016\/j.cma.2017.11.006","volume":"330","author":"J Bleyer","year":"2018","unstructured":"Bleyer J (2018) Advances in the simulation of viscoplastic fluid flows using interior-point methods. Comput Methods Appl Mech Eng 330:368\u2013394","journal-title":"Comput Methods Appl Mech Eng"},{"key":"11045_CR53","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1016\/j.cma.2017.10.030","volume":"330","author":"D Mangoni","year":"2018","unstructured":"Mangoni D, Tasora A, Garziera R (2018) A primal\u2013dual predictor\u2013corrector interior point method for non-smooth contact dynamics. Comput Methods Appl Mech Eng 330:351\u2013367","journal-title":"Comput Methods Appl Mech Eng"},{"issue":"1","key":"11045_CR54","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1007\/s00521-017-3019-3","volume":"31","author":"MAZ Raja","year":"2019","unstructured":"Raja MAZ, Ahmed U, Zameer A, Kiani AK, Chaudhary NI (2019) Bio-inspired heuristics hybrid with sequential quadratic programming and interior-point methods for reliable treatment of economic load dispatch problem. Neural Comput Appl 31(1):447\u2013475","journal-title":"Neural Comput Appl"},{"issue":"6","key":"11045_CR55","doi-asserted-by":"crossref","first-page":"2442","DOI":"10.1109\/TAC.2018.2867358","volume":"64","author":"J Umenberger","year":"2018","unstructured":"Umenberger J, Manchester IR (2018) Specialized interior-point algorithm for stable nonlinear system identification. IEEE Trans Autom Control 64(6):2442\u20132456","journal-title":"IEEE Trans Autom Control"},{"key":"11045_CR56","doi-asserted-by":"crossref","unstructured":"Gadekallu TR, Gao XZ (2021) An efficient attribute reduction and fuzzy logic classifier for heart disease and diabetes prediction. Recent Adv Comput Sci Commun (Formerly: Recent Patents on Computer Science), 14(1):158\u2013165","DOI":"10.2174\/2213275911666181030124333"},{"issue":"2","key":"11045_CR57","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1007\/s12065-019-00327-1","volume":"13","author":"GT Reddy","year":"2020","unstructured":"Reddy GT, Reddy M, Lakshmanna K, Rajput DS, Kaluri R, Srivastava G (2020) Hybrid genetic algorithm and a fuzzy logic classifier for heart disease diagnosis. Evol Intel 13(2):185\u2013196","journal-title":"Evol Intel"},{"key":"11045_CR58","doi-asserted-by":"crossref","DOI":"10.1016\/j.chaos.2022.112267","volume":"160","author":"M Alqhtani","year":"2022","unstructured":"Alqhtani M, Owolabi KM, Saad KM (2022) Spatiotemporal (target) patterns in sub-diffusive predator-prey system with the Caputo operator. Chaos, Solitons Fractals 160:112267","journal-title":"Chaos, Solitons Fractals"},{"issue":"03","key":"11045_CR59","doi-asserted-by":"crossref","first-page":"2050044","DOI":"10.1142\/S0129183120500448","volume":"31","author":"MM Khader","year":"2020","unstructured":"Khader MM, Saad KM (2020) Numerical treatment for studying the blood ethanol concentration systems with different forms of fractional derivatives. Int J Mod Phys C 31(03):2050044","journal-title":"Int J Mod Phys C"},{"issue":"5","key":"11045_CR60","doi-asserted-by":"crossref","first-page":"638","DOI":"10.1140\/epjp\/s13360-022-02869-3","volume":"137","author":"Z Sabir","year":"2022","unstructured":"Sabir Z (2022) Neuron analysis through the swarming procedures for the singular two-point boundary value problems arising in the theory of thermal explosion. Eur Phys J Plus 137(5):638","journal-title":"Eur Phys J Plus"},{"issue":"6","key":"11045_CR61","doi-asserted-by":"crossref","first-page":"658","DOI":"10.3390\/e22060658","volume":"22","author":"M Alqhtani","year":"2020","unstructured":"Alqhtani M, Saad KM (2020) Using probabilistic approach to evaluate the total population density on coarse grids. Entropy 22(6):658","journal-title":"Entropy"},{"key":"11045_CR62","doi-asserted-by":"crossref","DOI":"10.1016\/j.chaos.2022.112394","volume":"161","author":"M Alqhtani","year":"2022","unstructured":"Alqhtani M, Owolabi KM, Saad KM, Pindza E (2022) Efficient numerical techniques for computing the Riesz fractional-order reaction-diffusion models arising in biology. Chaos, Solitons Fractals 161:112394","journal-title":"Chaos, Solitons Fractals"},{"key":"11045_CR63","doi-asserted-by":"crossref","unstructured":"Sabir Z, Wahab HA, Ali MR, Sadat R (2022) Neuron analysis of the two-point singular boundary value problems arising in the thermal explosion\u2019s theory. Neural Process Lett, pp1\u201328","DOI":"10.1007\/s11063-022-10809-6"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-022-11045-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11063-022-11045-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-022-11045-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,31]],"date-time":"2023-07-31T16:42:33Z","timestamp":1690821753000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11063-022-11045-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,8]]},"references-count":63,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2023,8]]}},"alternative-id":["11045"],"URL":"https:\/\/doi.org\/10.1007\/s11063-022-11045-8","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,8]]},"assertion":[{"value":"18 September 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 October 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}