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Evaluation of Particle Swarm Optimization for Support Vector Machine Training

Najaad OubeBlika Sofia Arkhstan Wang Zhang Lima Hongou
Volume 3

Abstract

It is simple to use particle swarm optimization to optimize a function with a set of linear
equalities. For
this specific purpose, the converging linear particle swarm optimization algorithm was devised.
Support vector machine training necessitates the resolution of a quadratic optimization
problem that is linearly constrained. Support vector machines are notoriously bad at handling
large datasets because they have a hard time dealing with the combinatorial proliferation that
happens when they try to solve many instances of this quadratic optimization problem. A
different way to train support vector machines that can handle large datasets has been suggested.
It uses the converging linear particle swarm optimization algorithm and a decomposition strategy.
This article lists a number of problems and issues that could happen when the converging linear
particle swarm optimization algorithm is used to train support vector machines. For example, a
problem with early convergence that happened because of the clamping method used in the first
algorithmic implementations is emphasized.
To address these issues, a proposed solution is provided.
Subsequently, an evaluation concerning the scalability of the suggested methodology is performe
d.

Keywords

Particle Swarm Optimisation,Support Vector Machines,Convex Optimisation

References

  • [1] El-Kenawy, E. S. M., Ibrahim, A., Mirjalili, S., Eid, M. M., &Hussein, S. E. (2020). Novel feature selection and voting classifier algorithms for COVID-19 classification inCT images. IEEE Access ,8,179317-179335.
  • [2] El-Kenawy, E. S. M., Eid, M. M., Saber, M., &Ibrahim, A. (2020). MbGWO-SFS: Modified binary grey wolf optimizer based on stochastic fractal search for feature selection. IEEE Access ,8,107635-107649.
  • [3] Saber, M., &Elkenawy, E.M. (2020). Design and implementation ofaccurate frequency estimator depend on deep learning. International Journal ofEngineering &Technology ,9(2), 367-377.
  • [4] El-Kenawy, E.S.M., Mirjalili, S., Ibrahim, A., Alrahmawy, M., El-Said, M., Zaki, R.M., &Eid, M. M. (2021). Advanced meta-heuristics, convolutional neural networks, and feature selectors for efficient Covid-19 x-ray chest image classification. Ieee Access ,9,36019-36037.
  • [5] El-Sayed Towfek, M., &El-kenawy, M. S.(2019). Reham Arnous. An Integrated Framework toEnsure Information Security Over the Internet. International Journal ofComputer Applications ,178 (29), 13-15.
  • [6] Ibrahim, A., &El-kenawy, E.S.M. (2020). Image segmentation methods based on superpixel techniques: Asurvey. Journal ofComputer Science and Information Systems ,15(3), 1-11.
  • [7] Ibrahim, A., &El-kenawy, E.S.M. (2020). Applications and datasets for superpixel techniques: Asurvey. Journal ofComputer Science and Information Systems ,15(3), 1-6.
  • [8] Ibrahim, A., &El-kenawy, E.S.M. (2020). Applications and datasets for superpixel techniques: Asurvey. Journal ofComputer Science and Information Systems ,15(3), 1-6.
  • [9] Ghoneim, S.S., Farrag, T.A., Rashed, A. A., El-Kenawy, E.S.M., &Ibrahim, A. (2021). Adaptive dynamic meta-heuristics for feature selection and classification indiagnostic accuracy oftransformer faults. IEEE Access ,9,78324-78340.
  • [10] El-kenawy, E.S.M., Eid, M. M., &Ibrahim, A. (2021). Anemia estimation for covid-19 patients using amachine learning model. Journal ofComputer Science and Information Systems ,17(11), 2535-1451.
  • [11] Eid, M. M., &El-Sayed, M. El-kenawy, and Abdelhameed Ibrahim.
  • [12] El-Kenawy, E.S.M., Mirjalili, S., Ghoneim, S.S., Eid, M. M., El-Said, M., Khan, Z.S., &Ibrahim, A.(2021). Advanced Ensemble Model for Solar Radiation Forecasting Using Sine Cosine Algorithm and Newton ’sLaws. IEEE Access ,9,115750-115765.
  • [13] El-kenawy, E.S.M., Eid, M. M., &Ibrahim, A. (2021). Automatic identification from noisy microscopic images. Journal ofComputer Science and Information Systems ,17(11).
  • [14] Salamai, A. A., El-kenawy, E.S.M., &Abdelhameed, I.(2021). Dynamic Voting Classifier for Risk Identification inSupply Chain 4.0. CMC-COMPUTERS MATERIALS &CONTINUA ,69(3), 3749-3766.
  • [15] Alharbi, M. S., &El-kenawy, E.S.M. (2021). Optimize Machine Learning Programming Algorithms for Sentiment Analysis inSocial Media. International Journal ofComputer Applications ,174 (25), 38-43.
  • [16] Alharbi, M. S., &El-kenawy, E.S.M. (2021). Recommendation System for Analyzing the Preference Data ofthe Multimedia Software Tools inEducation.
  • [17] Eid, M. M., El-kenawy, E.S.M., &Ibrahim, A. (2021, March). Abinary sine cosine-modified whale optimization algorithm for feature selection. In2021 National Computing Colleges Conference (NCCC) (pp. 1-6). IEEE.
  • [18] Ibrahim, A., Mirjalili, S., El-Said, M., Ghoneim, S.S., Al-Harthi, M. M., Ibrahim, T.F., &El-Kenawy, E.S.M. (2021). Wind Speed Ensemble Forecasting Based onDeep Learning Using Adaptive Dynamic Optimization Algorithm. IEEE Access ,9,125787-125804.
  • [19] Eid, M. M., &El-Sayed, M. El-kenawy, and Abdelhameed Ibrahim.
  • [20] Eid, M. M., &El-Sayed, M. El-kenawy, and Abdelhameed Ibrahim.
  • [21] E.-S. M. El-Kenawy etal.,
  • [22] A. E.Takieldeen, E.M. El-kenawy, M. Hadwan and R.M. Zaki,
  • [23] E.M. El-kenawy, A. Ibrahim, S.Mirjalili, Y.Zhang, S.Elnazer etal.,
  • [24] E.M. El-Kenawy, A. Ibrahim, N. Bailek, K. Bouchouicha, M. A.Hassan etal.,
  • [25] A. A. Salamai, A. A. Ageeli and E.M. El-kenawy,
  • [26] E.-S. M. El-kenawy, A. Ibrahim, N. Bailek, K. Bouchouicha, M. A. Hassan etal.,“Sunshine duration measurements and predictions in Saharan Algeria region: An improved ensemble learning approach, ”Theoretical and Applied Climatology ,vol. 2021, pp. 1-17, 2021.
  • [27] Nijhawan, R., Kumar, M., Arya, S., Mendirtta, N., Kumar, S., Towfek, S. K., ...&Abdelhamid, A. A. (2023). ANovel Artificial- Intelligence-Based Approach for Classification ofParkinson ’sDisease Using Complex and Large Vocal Features. Biomimetics ,8(4), 351.
  • [28] Khafaga, D. S., El-kenawy, E.S.M., Alhussan, A. A., &Eid, M. M. (2023). Forecasting Energy Consumption Using aNovel Hybrid Dipper Throated Optimization and Stochastic Fractal Search Algorithm. Intelligent Automation &Soft Computing ,37(2).
  • [29] Shams, M. Y., El-kenawy, E.S.M., Ibrahim, A., &Elshewey, A. M. (2023). Ahybrid dipper throated optimization algorithm and particle swarm optimization (DTPSO) model for hepatocellular carcinoma (HCC) prediction. Biomedical Signal Processing and Control ,85, 104908.
  • [30] Abdelhamid, A. A., El-kenawy, E.S.M., Ibrahim, A., Eid, M. M., Khafaga, D. S., Alhussan, A. A., ...&Shams, M. Y. (2023). Innovative Feature Selection Method Based onHybrid Sine Cosine and Dipper Throated Optimization Algorithms. IEEE Access .
  • [31] Karim, F.K., Khafaga, D.S., Eid, M. M., Towfek, S.K., &Alkahtani, H.K.(2023). ANovel Bio-Inspired Optimization Algorithm Design for Wind Power Engineering Applications Time-Series Forecasting. Biomimetics ,8(3), 321.
  • [32] Alhasani, A. T., Alkattan, H., Subhi, A. A., El-Kenawy, E.S.M., &Eid, M. M. AComparative Analysis ofMethods for Detecting and Diagnosing Breast Cancer Based onData Mining. Methods ,7,9.
  • [33] Alakkari, K., Subhi, A. A., Alkattan, H., Kadi, A., Malinin, A., Potoroko, I.,...&El-kenawy, E.S.M. (2023). Forecasting COVID-19 Infection Using Encoder-Decoder LSTM and Attention LSTM Algorithms. Journal ofIntelligent Systems &Internet ofThings ,8(2).
  • [34] El-kenawy, E.S.M., Abdelhamid, A. A., Alrowais, F., Abotaleb, M., Ibrahim, A., &Khafaga, D.S.(2023). Al-Biruni Based Optimization ofRainfall Forecasting inEthiopia. Computer Systems Science &Engineering ,46(1).
  • [35] Alhussan, A. A., Abdelhamid, A. A., Towfek, S.K., Ibrahim, A., Abualigah, L., Khodadadi, N., ...&Ahmed, A. E.(2023). Classification ofBreast Cancer Using Transfer Learning and Advanced Al-Biruni Earth Radius Optimization. Biomimetics ,8(3), 270.
  • [36] Alhussan, A. A., Farhan, A. K., Abdelhamid, A. A., El-Kenawy, E.S.M., Ibrahim, A., &Khafaga, D. S.(2023). Optimized ensemble model for wind power forecasting using hybrid whale and dipper-throated optimization algorithms. Frontiers inEnergy Research ,11, 1174910.
  • [37] Alhussan, A. A., Abdelhamid, A. A., Towfek, S.K., Ibrahim, A., Eid, M. M., Khafaga, D. S., &Saraya, M. S.(2023). Classification of Diabetes Using Feature Selection and Hybrid Al-Biruni Earth Radius and Dipper Throated Optimization. Diagnostics ,13(12), 2038.
  • [38] Alharbi, A. H., Abdelhamid, A. A., Ibrahim, A., Towfek, S.K., Khodadadi, N., Abualigah, L., ...&Ahmed, A. E. (2023). Improved Dipper-Throated Optimization for Forecasting Metamaterial Design Bandwidth for Engineering Applications. Biomimetics ,8(2), 241.
  • [39] Alharbi, A. H., Towfek, S. K., Abdelhamid, A. A., Ibrahim, A., Eid, M. M., Khafaga, D. S., ...&Saber, M. (2023). Diagnosis of Monkeypox Disease Using Transfer Learning and Binary Advanced Dipper Throated Optimization Algorithm. Biomimetics ,8(3), 313.
  • [40] Abdelhamid, A. A., Towfek, S.K., Khodadadi, N., Alhussan, A. A., Khafaga, D. S., Eid, M. M., &Ibrahim, A. (2023). Waterwheel Plant Algorithm: ANovel Metaheuristic Optimization Method. Processes ,11(5), 1502.
  • [41] Alhussan, A.A., MEl-Kenawy, E.S., Abdelhamid, A.A., Ibrahim, A., Eid, M. M., &Khafaga, D.S.(2023). Wind speed forecasting using optimized bidirectional LSTM based ondipper throated and genetic optimization algorithms. Frontiers inEnergy Research ,11,1172176.
  • [42] Khafaga, D.S., Alhussan, A.A., Abdelhamid, A.A., Ibrahim, A., Saber, M., &El-kenawy, E.S.M. (2023). Dipper Throated Algorithm for Feature Selection and Classification inElectrocardiogram. Computer Systems Science &Engineering ,45(2).
  • [43] Alhussan, A. A., Eid, M. M., Towfek, S.K., &Khafaga, D. S.(2023). Breast Cancer Classification Depends on the Dynamic Dipper Throated Optimization Algorithm. Biomimetics ,8(2), 163.
  • [44] Aqdus, A., Amin, R., Ramzan, S., Alshamrani, S.S., Alshehri, A., &El-kenawy, E.S.M. (2023). Detection Collision Flows inSDN Based 5G Using Machine Learning Algorithms. Computers, Materials &Continua ,75(1).
  • [45] Ramadass, R., Venumula, S., Shankar, T. S., & Syed, K. (2023). Application Reliable Traffic Control Method for Efficient Data Management inWireless-aided Computer Applications. IIRJET ,8(3).
  • [46] Alqahtani, F., Abotaleb, M., Subhi, A. A., El-Kenawy, E.S.M., Abdelhamid, A. A., Alakkari, K., ...&Kadi, A. (2023). Ahybrid deep learning model for rainfall inthe wetlands ofsouthern Iraq. Modeling Earth Systems and Environment ,1-18.
  • [47] Myriam, H., Abdelhamid, A. A., El-Kenawy, E.S.M., Ibrahim, A., Eid, M. M., Jamjoom, M. M., &Khafaga, D. S.(2023). Advanced meta-heuristic algorithm based on Particle Swarm and Al-biruni Earth Radius optimization methods for oral cancer detection. IEEE Access , 11,23681-23700.
  • [48] El-Kenawy, E.S.M., Mirjalili, S., Khodadadi, N., Abdelhamid, A. A., Eid, M. M., El-Said, M., &Ibrahim, A. (2023). Feature selection in wind speed forecasting systems based on meta-heuristic optimization. Plos one ,18(2), e0278491.
  • [49] Abdelhamid, A.A., El-Kenawy, E.S.M., Khodadadi, N., Mirjalili, S., Khafaga, D.S., Alharbi, A.H., ...&Saber, M. (2022). Classification ofmonkeypox images based on transfer learning and the Al-Biruni Earth Radius Optimization algorithm. Mathematics ,10(19), 3614.
  • [50] El-Kenawy, E.S.M., Mirjalili, S., Abdelhamid, A. A., Ibrahim, A., Khodadadi, N., &Eid, M. M. (2022). Meta-heuristic optimization and keystroke dynamics for authentication ofsmartphone users. Mathematics ,10(16), 2912.
  • [51] El-kenawy, E.S.M., Albalawi, F., Ward, S.A., Ghoneim, S.S., Eid, M. M., Abdelhamid, A.A., ...&Ibrahim, A.(2022). Feature selection and classification oftransformer faults based onnovel meta-heuristic algorithm. Mathematics ,10(17), 3144.
  • [52] Atteia, G., Abdel Samee, N., El-Kenawy, E.S.M., &Ibrahim, A. (2022). CNN-Hyperparameter Optimization for Diabetic Maculopathy Diagnosis inOptical Coherence Tomography and Fundus Retinography. Mathematics ,10(18), 3274.
  • [53] Abdelhamid, A.A., El-Kenawy, E.S.M., Khodadadi, N., Mirjalili, S., Khafaga, D.S., Alharbi, A.H., ...&Saber, M. (2022). Classification ofmonkeypox images based on transfer learning and the Al-Biruni Earth Radius Optimization algorithm. Mathematics ,10(19), 3614.
  • [54] Khodadadi, N., Abualigah, L., El-Kenawy, E. S. M., Snasel, V., &Mirjalili, S. (2022). An archive-based multi-objective arithmetic optimization algorithm for solving industrial engineering problems. IEEE Access ,10,106673-106698.
  • [55] Eid, M. M., El-Kenawy, E.S.M., Khodadadi, N., Mirjalili, S., Khodadadi, E., Abotaleb, M., ...&Khafaga, D. S.(2022). Meta-heuristic optimization ofLSTM-based deep network for boosting the prediction ofmonkeypox cases. Mathematics ,10(20), 3845.
  • [56] El-Kenawy, E. S.M., Khodadadi, N., Khoshnaw, A., Mirjalili, S., Alhussan, A. A., Khafaga, D. S., ...&Abdelhamid, A. A. (2022). Advanced dipper-throated meta-heuristic optimization algorithm for digital image watermarking. Applied Sciences ,12(20), 10642.
  • [57] Alsayadi, H. A., Abdelhamid, A. A., El-Kenawy, E.S.M., Ibrahim, A., &Eid, M. M. (2022). Ensemble ofMachine Learning Fusion Models for Breast Cancer Detection Based onthe Regression Model. Fusion: Practice &Applications ,9(2).
  • [58] Djaafari, A., Ibrahim, A., Bailek, N., Bouchouicha, K., Hassan, M. A., Kuriqi, A., ...&El-Kenawy, E.S.M. (2022). Hourly predictions of direct normal irradiation using an innovative hybrid LSTM model for concentrating solar power projects inhyper-arid regions. Energy Reports ,8,15548-15562.
  • [59] Ang, K.M., El-kenawy, E.S.M., Abdelhamid, A.A., Ibrahim, A., Alharbi, A.H., Khafaga, D.S., ...&Lim, W. H.(2022). Optimal Design ofConvolutional Neural Network Architectures Using Teaching –Learning-Based Optimization for Image Classification. Symmetry ,14(11), 2323.
  • [60] Ali, R.S., Akif, O.Z., Jassim, S.A., Farhan, A.K., El-Kenawy, E.S.M., Ibrahim, A., ...&Abdelhamid, A.A.(2022). Enhancement ofthe CAST Block Algorithm Based onNovel S-Box for Image Encryption. Sensors ,22(21), 8527.
  • [61] Khafaga, D. S., Ibrahim, A., El-Kenawy, E.S.M., Abdelhamid, A. A., Karim, F.K., Mirjalili, S., ...&Ghoneim, M. E.(2022). An Al- Biruni earth radius optimization-based deep convolutional neural network for classifying monkeypox disease. Diagnostics ,12(11), 2892.
  • [62] El-Kenawy, E.S.M., Khodadadi, N., Mirjalili, S., Makarovskikh, T., Abotaleb, M., Karim, F.K., ...&Khafaga, D.S.(2022). Metaheuristic optimization for improving weed detection inwheat images captured bydrones. Mathematics ,10(23), 4421.
  • [63] Abdelhamid, A.A., El-Kenawy, E.S.M., Alrowais, F., Ibrahim, A., Khodadadi, N., Lim, W. H., ...&Khafaga, D.S.(2022). Deep learning with dipper throated optimization algorithm for energy consumption forecasting insmart households. Energies ,15(23), 9125.
  • [64] Ang, K.M., Chow, C.E., El-Kenawy, E.S.M., Abdelhamid, A.A., Ibrahim, A., Karim, F.K., ...&Lim, W. H.(2022). AModified Particle Swarm Optimization Algorithm for Optimizing Artificial Neural Network inClassification Tasks. Processes ,10(12), 2579.
  • [65] Potoroko, I.,Kadi, A., Paymulina, A., Bagale, U., Abotaleb, M., &El-Kenawy, E.M. (2022, December). Food resources infood system technology: Bifunctional food system technology based on pickering emulsions. In6th Smart Cities Symposium (SCS 2022) (Vol. 2022, pp. 368-371). IET.
  • [66] Matuka, A., Asafo, S.S., Eweke, G.O., Mishra, P., Ray, S., Abotaleb, M., ...&Chowdhury, S.(2022, December). Analysing the impact of COVID-19 outbreak and economic policy uncertainty on stock markets inmajor affected economies. In6th Smart Cities Symposium (SCS 2022) (Vol. 2022, pp. 372-378). IET.
  • [67] Jamei, M., Bailek, N., Bouchouicha, K., Hassan, M. A., Elbeltagi, A., Kuriqi, A., ...&El-kenawy, E.S.M. (2023). Data-Driven Models for Predicting Solar Radiation inSemi-Arid Regions. Computers, Materials &Continua ,74(1), 1625-1640.
  • [68] Alkanhel, R., Khafaga, D. S., El-kenawy, E.S.M., Abdelhamid, A. A., Ibrahim, A., Amin, R., ...&El-den, B. M. (2023). Hybrid Grey Wolf and Dipper Throated Optimization inNetwork Intrusion Detection Systems. CMC-COMPUTERS MATERIALS &CONTINUA ,74(2), 2695-2709.
  • [69] Khafaga, D. S., El-kenawy, E.S.M., Karim, F.K., Abotaleb, M., Ibrahim, A., Abdelhamid, A. A., &Elsheweikh, D. L.(2023). Hybrid Dipper Throated and Grey Wolf Optimization for Feature Selection Applied to Life Benchmark Datasets. CMC-COMPUTERS MATERIALS &CONTINUA ,74(2), 4531-4545.
  • [70] El-kenawy, E.S.M., Abdelhamid, A.A., Ibrahim, A., Mirjalili, S., Khodadad, N., Al Duailij, M. A., ...&Khafaga, D.S.(2023). Al-Biruni Earth Radius (BER) metaheuristic search optimization algorithm. Comput. Syst. Sci. Eng ,45(2), 1917-1934.
  • [71] Khafaga, D. S., Karim, F.K., Abdelhamid, A. A., El-kenawy, E.S.M., Alkahtani, H. K., Khodadadi, N., ...&Ibrahim, A. (2023). Voting Classifier and Metaheuristic Optimization for Network Intrusion Detection. CMC-COMPUTERS MATERIALS &CONTINUA ,74(2), 3183- 3198.
  • [72] Saber, M., El-Kenawy, E. S. M., Ibrahim, A., &Eid, M. M. (2023). Watermarking System for Medical Images Using Optimization Algorithm. Fusion: Practice &Applications ,10(1).
  • [73] Ibrahim A, El-kenawy E-SM, Kabeel AE, Karim FK, Eid MM, Abdelhamid AA, Ward SA, El-Said EMS, El-Said M, Khafaga DS. Al- Biruni Earth Radius Optimization Based Algorithm for Improving Prediction of Hybrid Solar Desalination System. Energies .2023; 16(3):1185. https://doi.org/10.3390/en16031185
  • [74] Alkanhel, R., El-kenawy, E. S. M., Elsheweikh, D. L., Abdelhamid, A. A., Ibrahim, A., & Khafaga, D. S. (2023). Metaheuristic Optimization ofTime Series Models for Predicting Networks Traffic. CMC-COMPUTERS MATERIALS &CONTINUA ,75(1), 427-442.
  • [75] Atteia, G., El-kenawy, E.S.M., Samee, N. A., Jamjoom, M. M., Ibrahim, A., Abdelhamid, A. A., ...&Shams, M. Y. (2023). Adaptive dynamic dipper throated optimization for feature selection inmedical data. Computers, Materials &Continua ,75(1), 1883-1900.
  • [76] Alhussan AA, El-Kenawy E-SM, Saeed MA, Ibrahim A,Abdelhamid AA, Eid MM, El-Said M, Khafaga DS, Abualigah Land Elbaksawi O (2023) Green hydrogen production ensemble forecasting based on hybrid dynamic optimization algorithm. Front. Energy Res. 11:1221006. doi: 10.3389/fenrg.2023.1221006
  • [77] Al-Nuaimi, B. T., Al-Mahdawi, H. K., Albadran, Z., Alkattan, H., Abotaleb, M., &El-kenawy, E.S.M. (2023). Solving ofthe inverse boundary value problem for the heat conduction equation intwo intervals oftime. Algorithms ,16(1), 33.
  • [78] Ibrahim, A., El-kenawy, E.S.M., Kabeel, A.E., Karim, F.K., Eid, M. M., Abdelhamid, A.A., ...&Khafaga, D.S.(2023). Al-Biruni Earth Radius Optimization Based Algorithm for Improving Prediction ofHybrid Solar Desalination System. Energies ,16(3), 1185.
  • [79] Alghamdi, A. A., Ibrahim, A., El-Kenawy, E. S.M., &Abdelhamid, A. A. (2023). Renewable Energy Forecasting Based on Stacking Ensemble Model and Al-Biruni Earth Radius Optimization Algorithm. Energies ,16(3), 1370.
  • [80] Alkanhel, R., El-kenawy, E.S.M., Abdelhamid, A. A., Ibrahim, A., Alohali, M. A., Abotaleb, M., &Khafaga, D. S.(2023). Network Intrusion Detection Based on Feature Selection and Hybrid Metaheuristic Optimization. Computers, Materials &Continua ,74(2).
  • [81] Khafaga, D. S., El-kenawy, E. S.M., Alrowais, F., Kumar, S., Ibrahim, A., &Abdelhamid, A. A. (2023). Novel Optimized Feature Selection Using Metaheuristics Applied toPhysical Benchmark Datasets. Computers, Materials &Continua ,74(2).
  • [82] Khafaga, D. S., El-kenawy, E. S. M., Karim, F. K., Alshetewi, S., Ibrahim, A., Abdelhamid, A. A., & Elsheweikh, D. L. (2023). Optimization ofElectrocardiogram Classification Using Dipper Throated Algorithm and Differential Evolution. Computers, Materials & Continua ,74(2).
  • [83] Mohamed Saber,El-Sayed M. El-Kenawy,Abdelhameed Ibrahim,Marwa M. Eid,Abdelaziz A. Abdelhamid. (2022). New Optimization Models for Sine Cosine Functions in Embedded Telecommunication Systems. International Journal of Wireless and Ad Hoc Communication, 3(2),102-109.
  • [84] Mohamed Saber,El-Sayed M. El-Kenawy,Abdelhameed Ibrahim,Marwa M. Eid,Abdelaziz A. Abdelhamid. (2023). Metaheuristic Optimized Ensemble Model for Classification of SMS Spam in Computer Networks. International Journal of Wireless and Ad Hoc Communication, 6(2),56-64.
  • [85] Marwa M. Eid,El-Sayed M. El-Kenawy,Abdelhameed Ibrahim,Abdelaziz A. Abdelhamid,Mohamed Saber. (2022). Bank Marketing Data Classification Using Optimized Voting Ensemble, Sine Cosine, and Genetic Algorithms. American Journal ofBusiness and Operations Research, 8(2),16-24.
  • [86] A. A. Alhussan et al.,
  • [87] El-Sayed M. El-Kenawy,Abdelhameed Ibrahim,Abdelaziz A. Abdelhamid,Mohamed Saber,Marwa M. Eid. (2022). Metaheuristic Optimized Voting Ensemble for Recognizing Daily and Sports Activities. Journal ofArtificial Intelligence and Metaheuristics, 2(2),08- 17.
  • [88] S. K. Towfek. (2023). Navigating the Storm: Cutting-Edge Risk Mitigation and Analysis for Volatile Markets. Journal of Artificial Intelligence and Metaheuristics, 4(2),36-44.
  • [89] S. K. Towfek. (2023). A Semantic Approach for Extracting the Medical Association Rules. Journal of Artificial Intelligence and Metaheuristics, 5(1),46-52.
  • [90] El-Kenawy, E.S., &Eid, M. (2020). Hybrid gray wolf and particle swarm optimization for feature selection. Int. J.Innov. Comput. Inf. Control ,16(3), 831-844.
  • [91] El-kenawy, E. S. M. T. (2018). Solar radiation machine learning production depend on training neural networks with ant colony optimization algorithms. International Journal ofAdvanced Research inComputer and Communication Engineering (IJARCCE) ,7(5), 1-4.
  • [92] El-kenawy, E.S.M. T.(2019). AMachine Learning Model for Hemoglobin Estimation and Anemia Classification. International Journal of Computer Science and Information Security (IJCSIS) ,17(2).
  • [93] El-kenawy, E. S.M. T. (2018). Trust Model for Dependable File Exchange inCloud Computing. International Journal ofComputer Applications ,975 ,8887.
  • [94] Doaa Sami Khafaga,Abdelhameed Ibrahim,S. K. Towfek,Nima Khodadadi. (2023). Data Mining Techniques inPredictive Medicine: An Application inhemodynamic prediction for abdominal aortic aneurysm disease. Journal ofArtificial Intelligence and Metaheuristics, 5(1), 29-37.
  • [95] Abdelaziz A. Abdelhamid,Marwa M. Eid,Mostafa Abotaleb,S. K. Towfek. (2023). Identification ofCardiovascular Disease Risk Factors Among Diabetes Patients using ontological Data Mining Techniques. Journal ofArtificial Intelligence and Metaheuristics, 4(2),45-53.
  • [96] S.K.Towfek,Nima Khodadadi. (2023). Deep Convolutional Neural Network and Metaheuristic Optimization for Disease Detection inPlant Leaves. Journal ofIntelligent Systems and Internet ofThings, 10(1),66-75
  • [97] Ehsaneh Khodadadi,S. K.Towfek. (2023). Internet ofThings Enabled Disease Outbreak Detection: APredictive Modeling System. Journal ofIntelligent Systems and Internet ofThings, 10(1),84-91.
  • [98] Ehsan khodadadi,S. K. Towfek ,Hussein Alkattan. (2023). Brain Tumor Classification Using Convolutional Neural Network and Feature Extraction. Fusion: Practice and Applications, 13(2),34-41
  • [99] Khodadadi, N., Khodadadii, E., Al-Tashi, Q., El-Kenawy, E.S.M., Abualigah, L., Abdulkadir, S.J., ...&Mirjalili, S.(2023). BAOA: binary arithmetic optimization algorithm with K-nearest neighbor classifier for feature selection. IEEE Access .
  • [100] Mijwil, M., Al-Mistarehi, A.H., Abotaleb, M., El-kenawy, E.S.M., Ibrahim, A., Abdelhamid, A.A., &Eid, M. M. (2023). From Pixels to Diagnoses: Deep Learning's Impact on Medical Image Processing-A Survey. Wasit Journal ofComputer and Mathematics Science ,2(3), 8- 14.
  • [101] Ang, K.M., Lim, W. H., Tiang, S.S., Sharma, A., Towfek, S.K., Abdelhamid, A. A., ...&Khafaga, D. S.(2023). MTLBORKS-CNN: An Innovative Approach for Automated Convolutional Neural Network Design for Image Classification. Mathematics ,11(19), 4115.
  • [102] Saber, M., &Eid, M. M. (2021). Low power pseudo-random number generator based on lemniscate chaotic map. International Journal of Electrical and Computer Engineering, 11(1), 863.
  • [103] Saber, M. (2020). Anovel design and Implementation ofFBMC transceiver for low power applications. Indonesian Journal ofElectrical Engineering and Informatics (IJEEI), 8(1), 83-93.
  • [104] Jitsumatsu, Y., &Kohda, T.(2009, October). Alow-power implementation ofarctangent function for communication applications using FPGA. In2009 Fourth International Workshop onSignal Design and itsApplications inCommunications (pp. 60-63). IEEE.
  • [105] Saber, M. (2017). Efficient Phase Recovery System. Indonesian Journal ofElectrical Engineering and Computer Science (IJEECS), 5(1), 123-129. Saber, M., Jitsumatsu, Y., &Khan, M. T.A. (2012). Asimple design tomitigate problems ofconventional digital phase locked loop. Signal Processing: An international journal (SPIJ), 6(2), 65-77.
  • [106] Saber, M., Jitsumatsu, Y., &Khan, M. T.A.(2010, October). Design and implementation oflow power digital phase-locked loop. In2010 International Symposium On Information Theory &Its Applications (pp. 928-933). IEEE.
  • [107] Ali, N. S., &Divya, G. (2020). Prediction ofDiseases inSmart Health Care System using Machine Learning. International Journal of Recent Technology and Engineering, 8(5), 2534-2537.
  • [108] Eid, M. M., Alassery, F., Ibrahim, A., & Saber, M. (2022). Metaheuristic optimization algorithm for signals classification of electroencephalography channels. Computers, Materials &Continua, 71(3), 4627-4641.
  • [109] Saber, M. (2022). Removing Powerline Interference from EEG Signal using Optimized FIR Filters. J.Artif. Intell. Metaheuristics, 1(1), 8- 19.
  • [110] Saber, M., &Abotaleb, M. (2022). Arrhythmia Modern Classification Techniques: AReview. J.Artif. Intell. Metaheuristics, 1,42-53.
  • [111] Mohamed Saber,Nader Behdad,Ehsaneh khodadadi. (2023). Detection of Breast Cancer Based on Feature Extraction Using WPSO in Conjunction with CNN. Journal ofArtificial Intelligence and Metaheuristics, 5(1),16-28.
  • [112] Nader Behdad,Mohamed Saber. (2023). PAPR Reduction in OFDM System Using Metaheuristic Algorithm. Journal of Artificial Intelligence and Metaheuristics, 4(2),28-35.
  • [113] Pushan K. Dutta,David Winters,Nader Behdad,Mohamed Saber. (2022). Design and Implementation ofDemodulator and Carrier Phase Compensation System for Satellite Communication. International Journal ofWireless and Ad Hoc Communication, 5(1),44-53.
  • [114] Mohamed Saber,Pushan K. Dutta. (2022). Uniform and Nonuniform Filter Banks Design Based on Fusion Optimization. Fusion: Practice and Applications, 9(1),29-37.
  • [115] El-kenawy, E.S.M., Khodadadi, N., Mirjalili, S., Abdelhamid, A. A., Eid, M. M., &Ibrahim, A. (2024). Greylag Goose Optimization: Nature-inspired optimization algorithm. Expert Systems with Applications ,238 ,122147.
  • [116] A.Ibrahim etal.,
  • [117] Upadhyay, P., Marriboina, V., Goyal, S.J.,Kumar, S., El-Kenawy, E.S.M., Ibrahim, A., ...&Khafaga, D. S.(2023). An improved deep reinforcement learning routing technique for collision-free VANET. Scientific Reports ,13(1), 21796.
  • [118] Abdullah, S.M., Periyasamy, M., Kamaludeen, N. A., Towfek, S.K., Marappan, R., Kidambi Raju, S., ...&Khafaga, D. S.(2023). Optimizing Traffic Flow inSmart Cities: Soft GRU-Based Recurrent Neural Networks for Enhanced Congestion Prediction Using Deep Learning. Sustainability ,15(7), 5949.
  • [119] Alhussan, A.A., MEl-Kenawy, E.S., Abdelhamid, A.A., Ibrahim, A., Eid, M. M., &Khafaga, D.S.(2023). Wind speed forecasting using optimized bidirectional LSTM based ondipper throated and genetic optimization algorithms. Frontiers inEnergy Research ,11,1172176.
  • [120] B.Sameh etal.,
  • [121] K. Sherif, M. Azmy, K. Alakkari, M. Abotaleb and E. -S. M. El-Kenawy,
  • [122] O. M. Osama, K. Alakkari, M. Abotaleb and E. -S. M. El-Kenawy,
  • [123] M. Elshabrawy, M. M. Eid, A. A. Abdelhamid, E.-S. M. El-Kenawy and A. Ibrahim,
  • [124] Sharma, A., Lim, W. H., El-Kenawy, E.S.M., Tiang, S.S., Bhandari, A. S., Alharbi, A. H., &Khafaga, D. S.(2023). Identification of photovoltaic module parameters by implementing anovel teaching learning based optimization with unique exemplar generation scheme (TLBO-UEGS). Energy Reports ,10,1485-1506.
  • [125] Catherine, A.T., Towfek, S.K., &Abdelhamid, A.A.(2023). An Overview ofthe Evolution and Impact ofChatbots inModern Healthcare Services. Mesopotamian Journal ofArtificial Intelligence inHealthcare ,2023 ,71-75.
  • [126] Ammar Kadi,Adel Oubelaid,S. K.Towfek. (2023). Electrocardiogram Comparison asaBiometric Identifier: AReview. Journal ofArtificial Intelligence and Metaheuristics, 5(2),31-40.
  • [127] S.K.Towfek. (2023). CNN-Based Multiclass Classification for COVID-19 inChest X-ray Images. Journal ofArtificial Intelligence and Metaheuristics, 6(1),48-55.
  • [128] Ahmed Mohamed Zaki,S. K. Towfek,Weiguo Gee,Wang Zhang,Marwa Adel Soliman. (2023). Advancing Parking Space Surveillance using ANeural Network Approach with Feature Extraction and Dipper Throated Optimization Integration. Journal ofArtificial Intelligence and Metaheuristics, 6(2),16-25.
  • [129] Faris H. Rizk,Sofia Arkhstan,Ahmed Mohamed Zaki,Mohamed Ahmed Kandel,S. K. Towfek. (2023). Integrated CNN and Waterwheel Plant Algorithm for Enhanced Global Traffic Detection. Journal ofArtificial Intelligence and Metaheuristics, 6(2),36-45.
  • [130] Ahmed Mohamed Zaki,Nima Khodadadi,Wei Hong Lim,S. K. Towfek. (2024). Predictive Analytics and Machine Learning inDirect Marketing for Anticipating Bank Term Deposit Subscriptions. American Journal ofBusiness and Operations Research, 11 (1),79-88
  • [131] Eman Shawky Mira,Ahmed M. Saaduddin Sapri ,Rowaa F.Aljehan ı,Bayan S.Jamb ı,Taseer Bashir,El-Sayed M. El-Kenawy,Mohamed Saber. (2024). Early Diagnosis ofOral Cancer Using Image Processing and Artificial Intelligence. Fusion: Practice and Applications, 14 (1),293-308.
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