Multi-verse Optimizer with Rosenbrock and Diffusion Mechanisms for Multilevel Threshold Image Segmentation from COVID-19 Chest X-Ray Images

[1]  Zhiheng Xiao,et al.  Random Reconstructed Unpaired Image-to-Image Translation , 2023, IEEE Transactions on Industrial Informatics.

[2]  M. Dong,et al.  Efficient Medical Big Data Management With Keyword-Searchable Encryption in Healthchain , 2022, IEEE Systems Journal.

[3]  W. Pedrycz,et al.  Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm , 2022, IEEE Transactions on Industrial Informatics.

[4]  Lirong Yin,et al.  The algorithm of stereo vision and shape from shading based on endoscope imaging , 2022, Biomed. Signal Process. Control..

[5]  Zhongyi Hu,et al.  Uncertainty Modeling for Multicenter Autism Spectrum Disorder Classification Using Takagi–Sugeno–Kang Fuzzy Systems , 2022, IEEE Transactions on Cognitive and Developmental Systems.

[6]  Jiawei Tian,et al.  2D/3D Multimode Medical Image Registration Based on Normalized Cross-Correlation , 2022, Applied Sciences.

[7]  Majdi M. Mafarja,et al.  Image segmentation of Leaf Spot Diseases on Maize using multi-stage Cauchy-enabled grey wolf algorithm , 2022, Eng. Appl. Artif. Intell..

[8]  Yan Liu,et al.  Improved Feature Point Pair Purification Algorithm Based on SIFT During Endoscope Image Stitching , 2022, Frontiers in Neurorobotics.

[9]  Ali Asghar Heidari,et al.  Apple leaf disease recognition method with improved residual network , 2022, Multimedia Tools and Applications.

[10]  Ali Asghar Heidari,et al.  Boosting whale optimization with evolution strategy and Gaussian random walks: an image segmentation method , 2022, Engineering with Computers.

[11]  Ali Asghar Heidari,et al.  Individual Disturbance and Attraction Repulsion Strategy Enhanced Seagull Optimization for Engineering Design , 2022, Mathematics.

[12]  Prabir Kumar Naskar,et al.  Whale Optimizer-Based Clustering for Breast Histopathology Image Segmentation , 2022, International Journal of Swarm Intelligence Research.

[13]  Ali Asghar Heidari,et al.  INFO: An efficient optimization algorithm based on weighted mean of vectors , 2022, Expert Syst. Appl..

[14]  Majdi M. Mafarja,et al.  Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis , 2022, Comput. Biol. Medicine.

[15]  Ali Asghar Heidari,et al.  Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images , 2022, Comput. Biol. Medicine.

[16]  Bo Yang,et al.  Endoscope image mosaic based on pyramid ORB , 2022, Biomed. Signal Process. Control..

[17]  Quan Yuan,et al.  Artificial Intelligence Powered Mobile Networks: From Cognition to Decision , 2021, IEEE Network.

[18]  Ali Asghar Heidari,et al.  Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm , 2021, Comput. Biol. Medicine.

[19]  Ali Asghar Heidari,et al.  Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection , 2021, Knowl. Based Syst..

[20]  Yongquan Zhou,et al.  An enhanced fast non-dominated solution sorting genetic algorithm for multi-objective problems , 2021, Inf. Sci..

[21]  Giancarlo Fortino,et al.  Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges , 2021, Inf. Fusion.

[22]  Feng Ke,et al.  Optimal caching scheme in D2D networks with multiple robot helpers , 2021, Comput. Commun..

[23]  Bo Zeng,et al.  A Study on the Strong Duality of Second-Order Conic Relaxation of AC Optimal Power Flow in Radial Networks , 2021, IEEE Transactions on Power Systems.

[24]  Xiaoke Ma,et al.  Dynamic Module Detection in Temporal Attributed Networks of Cancers , 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[25]  Maoguo Gong,et al.  An Integrative Framework of Heterogeneous Genomic Data for Cancer Dynamic Modules Based on Matrix Decomposition , 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[26]  Murat Köklü,et al.  A new hybrid algorithm based on MVO and SA for function optimization , 2022, International Journal of Industrial Engineering Computations.

[27]  Jun Li,et al.  Enhanced Harris hawks optimization with multi-strategy for global optimization tasks , 2021, Expert Syst. Appl..

[28]  Hamza Turabieh,et al.  Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem , 2021, Knowl. Based Syst..

[29]  S. Nama,et al.  COVID-19 X-ray image segmentation by modified whale optimization algorithm with population reduction , 2021, Computers in Biology and Medicine.

[30]  Hamza Turabieh,et al.  Gaussian Barebone Salp Swarm Algorithm with Stochastic Fractal Search for medical image segmentation: A COVID-19 case study , 2021, Comput. Biol. Medicine.

[31]  Sanjoy Pratihar,et al.  Multilevel segmentation of Hippocampus images using global steered quantum inspired firefly algorithm , 2021, Applied Intelligence.

[32]  Y. Nojima,et al.  Distributed Flow Shop Scheduling with Sequence-Dependent Setup Times Using an Improved Iterated Greedy Algorithm , 2021, Complex System Modeling and Simulation.

[33]  Ye Tian,et al.  EMODMI: A Multi-Objective Optimization Based Method to Identify Disease Modules , 2021, IEEE Transactions on Emerging Topics in Computational Intelligence.

[34]  Abdelmgeid A. Ali,et al.  Improved manta ray foraging optimization for multi-level thresholding using COVID-19 CT images , 2021, Neural Computing and Applications.

[35]  Derrick Wing Kwan Ng,et al.  DeepBAN: A Temporal Convolution-Based Communication Framework for Dynamic WBANs , 2021, IEEE Transactions on Communications.

[36]  Majdi M. Mafarja,et al.  Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation , 2021, Computers in Biology and Medicine.

[37]  Mingwu Zhang,et al.  A Privacy-Preserving Optimization of Neighborhood-Based Recommendation for Medical-Aided Diagnosis and Treatment , 2021, IEEE Internet of Things Journal.

[38]  Jonrinaldi,et al.  A Novel Cooperative Multi-Stage Hyper-Heuristic for Combination Optimization Problems , 2021, Complex System Modeling and Simulation.

[39]  Seyed Mohammad Mirjalili,et al.  African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems , 2021, Comput. Ind. Eng..

[40]  Lintao Zheng,et al.  ROSEFusion , 2021, ACM Trans. Graph..

[41]  Chengye Li,et al.  Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease , 2021, Comput. Biol. Medicine.

[42]  A. Gandomi,et al.  The Colony Predation Algorithm , 2021, Journal of Bionic Engineering.

[43]  Zongda Wu,et al.  An effective approach for the protection of user commodity viewing privacy in e-commerce website , 2021, Knowl. Based Syst..

[44]  Amir H. Gandomi,et al.  RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method , 2021, Expert Syst. Appl..

[45]  Amir H. Gandomi,et al.  Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts , 2021, Expert Syst. Appl..

[46]  Mingjing Wang,et al.  Modified Whale Optimization Algorithm for Solar Cell and PV Module Parameter Identification , 2021, Complex..

[47]  Sivakumar Pothiraj,et al.  Floor Planning of 3D IC Design Using Hybrid Multi-verse Optimizer , 2021, Wireless Personal Communications.

[48]  Yaochu Jin,et al.  A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts , 2021, IEEE/CAA Journal of Automatica Sinica.

[49]  Shanxi Li,et al.  SCCGAN: Style and Characters Inpainting Based on CGAN , 2021, Mobile Networks and Applications.

[50]  Zhi-Hui Zhan,et al.  SAFE: Scale-Adaptive Fitness Evaluation Method for Expensive Optimization Problems , 2021, IEEE Transactions on Evolutionary Computation.

[51]  E. V. C. Jiménez,et al.  Multilevel thresholding image segmentation based on improved volleyball premier league algorithm using whale optimization algorithm , 2021, Multimedia Tools and Applications.

[52]  Ying Chen,et al.  Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection , 2020, Knowl. Based Syst..

[53]  Seyedali Mirjalili,et al.  Enhanced multi-verse optimizer for task scheduling in cloud computing environments , 2020, Expert Syst. Appl..

[54]  Huiling Chen,et al.  Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy , 2020, Knowl. Based Syst..

[55]  Huiling Chen,et al.  Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation , 2020, Expert Syst. Appl..

[56]  Abdelmgeid A. Ali,et al.  An efficient multilevel thresholding segmentation method for thermography breast cancer imaging based on improved chimp optimization algorithm , 2021, Expert Syst. Appl..

[57]  Lijuan Sun,et al.  Fuzzy Multilevel Image Thresholding Based on Improved Coyote Optimization Algorithm , 2021, IEEE Access.

[58]  Meral Yüce,et al.  COVID-19 diagnosis —A review of current methods , 2020, Biosensors and Bioelectronics.

[59]  Huiling Chen,et al.  Slime mould algorithm: A new method for stochastic optimization , 2020, Future Gener. Comput. Syst..

[60]  Jian-Yu Li,et al.  Boosting Data-Driven Evolutionary Algorithm With Localized Data Generation , 2020, IEEE Transactions on Evolutionary Computation.

[61]  Victor Chang,et al.  HSMA_WOA: A hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images , 2020, Applied Soft Computing.

[62]  Dalia Yousri,et al.  An Improved Marine Predators Algorithm With Fuzzy Entropy for Multi-Level Thresholding: Real World Example of COVID-19 CT Image Segmentation , 2020, IEEE Access.

[63]  Zongda Wu,et al.  Constructing dummy query sequences to protect location privacy and query privacy in location-based services , 2020, World Wide Web.

[64]  Witold Pedrycz,et al.  Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism , 2020, IEEE Transactions on Fuzzy Systems.

[65]  Zongda Wu,et al.  A dummy-based user privacy protection approach for text information retrieval , 2020, Knowl. Based Syst..

[66]  M. Chung,et al.  Portable chest X-ray in coronavirus disease-19 (COVID-19): A pictorial review , 2020, Clinical Imaging.

[67]  Hao Feng,et al.  A case report of COVID-19 with false negative RT-PCR test: necessity of chest CT , 2020, Japanese Journal of Radiology.

[68]  Zongda Wu,et al.  A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services , 2020, IEEE Transactions on Vehicular Technology.

[69]  Huiling Chen,et al.  A multi-strategy enhanced sine cosine algorithm for global optimization and constrained practical engineering problems , 2020, Appl. Math. Comput..

[70]  Q. Tao,et al.  Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases , 2020, Radiology.

[71]  Zongda Wu,et al.  A user sensitive subject protection approach for book search service , 2020, J. Assoc. Inf. Sci. Technol..

[72]  Xingyi Zhang,et al.  A Heuristic Algorithm for Identifying Molecular Signatures in Cancer , 2020, IEEE Transactions on NanoBioscience.

[73]  Feng Zhu,et al.  VARIDT 1.0: variability of drug transporter database , 2019, Nucleic Acids Res..

[74]  Jianzhou Wang,et al.  A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting , 2019, Appl. Soft Comput..

[75]  Andrew Lewis,et al.  Nature-Inspired Optimizers - Theories, Literature Reviews and Applications , 2020, Nature-Inspired Optimizers.

[76]  Zichao Jiang,et al.  A Logistic Chaotic Barnacles Mating Optimizer With Masi Entropy for Color Image Multilevel Thresholding Segmentation , 2020, IEEE Access.

[77]  Mohamed Elhoseny,et al.  A Hybrid COVID-19 Detection Model Using an Improved Marine Predators Algorithm and a Ranking-Based Diversity Reduction Strategy , 2020, IEEE Access.

[78]  Jianhua Gu,et al.  Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy , 2019, Expert Syst. Appl..

[79]  Qian Zhang,et al.  An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks , 2019, Expert Syst. Appl..

[80]  Hossam Faris,et al.  Harris hawks optimization: Algorithm and applications , 2019, Future Gener. Comput. Syst..

[81]  Heming Jia,et al.  A Novel Hybrid Harris Hawks Optimization for Color Image Multilevel Thresholding Segmentation , 2019, IEEE Access.

[82]  Fang Liu,et al.  A Multilevel Image Thresholding Based on Hybrid Salp Swarm Algorithm and Fuzzy Entropy , 2019, IEEE Access.

[83]  Kangshun Li,et al.  An Improved Flower Pollination Optimizer Algorithm for Multilevel Image Thresholding , 2019, IEEE Access.

[84]  Ahmed Fathy,et al.  Multi-Verse Optimizer for Identifying the Optimal Parameters of PEMFC Model , 2018 .

[85]  Wujie Zhou,et al.  Local and Global Feature Learning for Blind Quality Evaluation of Screen Content and Natural Scene Images , 2018, IEEE Transactions on Image Processing.

[86]  A. Hassanien,et al.  Chaotic multi-verse optimizer-based feature selection , 2019, Neural Computing and Applications.

[87]  Saurabh Chaudhury,et al.  Multilevel thresholding using grey wolf optimizer for image segmentation , 2017, Expert Syst. Appl..

[88]  Indrajit N. Trivedi,et al.  Optimization of problems with multiple objectives using the multi-verse optimization algorithm , 2017, Knowl. Based Syst..

[89]  Yunlong Liu,et al.  Fast Image Dehazing Method Based on Linear Transformation , 2017, IEEE Transactions on Multimedia.

[90]  Leonidas J. Guibas,et al.  GRASS: Generative Recursive Autoencoders for Shape Structures , 2017, ACM Trans. Graph..

[91]  Hossam Faris,et al.  A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture , 2017, Neural Computing and Applications.

[92]  S. Mirjalili,et al.  Training feedforward neural networks using multi-verse optimizer for binary classification problems , 2016, Applied Intelligence.

[93]  P. Sivakumar,et al.  A REVIEW ON IMAGE SEGMENTATION TECHNIQUES , 2016 .

[94]  Suyash P. Awate,et al.  Computer Vision, Graphics, and Image Processing , 2016, Lecture Notes in Computer Science.

[95]  Seyed Mohammad Mirjalili,et al.  Multi-Verse Optimizer: a nature-inspired algorithm for global optimization , 2015, Neural Computing and Applications.

[96]  Jun-yi Li,et al.  Artificial Bee Colony Optimizer with Bee-to-Bee Communication and Multipopulation Coevolution for Multilevel Threshold Image Segmentation , 2015 .

[97]  Ashish Kumar Bhandari,et al.  Modified artificial bee colony based computationally efficient multilevel thresholding for satellite image segmentation using Kapur's, Otsu and Tsallis functions , 2015, Expert Syst. Appl..

[98]  Hamid Salimi,et al.  Stochastic Fractal Search: A powerful metaheuristic algorithm , 2015, Knowl. Based Syst..

[99]  Gang Wang,et al.  Towards an optimal support vector machine classifier using a parallel particle swarm optimization strategy , 2014, Appl. Math. Comput..

[100]  Ashish Kumar Bhandari,et al.  Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur's entropy , 2014, Expert Syst. Appl..

[101]  Bahriye Akay,et al.  A study on particle swarm optimization and artificial bee colony algorithms for multilevel thresholding , 2013, Appl. Soft Comput..

[102]  Yang Song,et al.  Therapeutic target database update 2012: a resource for facilitating target-oriented drug discovery , 2011, Nucleic Acids Res..

[103]  David Zhang,et al.  FSIM: A Feature Similarity Index for Image Quality Assessment , 2011, IEEE Transactions on Image Processing.

[104]  Junjie Li,et al.  Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions , 2011, Inf. Sci..

[105]  Francisco Herrera,et al.  A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms , 2011, Swarm Evol. Comput..

[106]  Erik Valdemar Cuevas Jiménez,et al.  A novel multi-threshold segmentation approach based on differential evolution optimization , 2010, Expert Syst. Appl..

[107]  María José del Jesús,et al.  KEEL: a software tool to assess evolutionary algorithms for data mining problems , 2008, Soft Comput..

[108]  Mohammed Ghanbari,et al.  Scope of validity of PSNR in image/video quality assessment , 2008 .

[109]  Jing J. Liang,et al.  Comprehensive learning particle swarm optimizer for global optimization of multimodal functions , 2006, IEEE Transactions on Evolutionary Computation.

[110]  Jean-Michel Morel,et al.  A non-local algorithm for image denoising , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[111]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[112]  Jerry L Prince,et al.  Current methods in medical image segmentation. , 2000, Annual review of biomedical engineering.

[113]  Daniel Platt,et al.  Diffusion Limited Aggregation , 1995 .

[114]  Sankar K. Pal,et al.  Fuzzy models for pattern recognition : methods that search for structures in data , 1992 .

[115]  S.K. Park,et al.  Optimal small kernels for edge detection , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

[116]  M. Ibrahim Sezan,et al.  A Peak Detection Algorithm and its Application to Histogram-Based Image Data Reduction , 1990, Comput. Vis. Graph. Image Process..

[117]  Yoh-Han Pao,et al.  Adaptive pattern recognition and neural networks , 1989 .

[118]  Andrew K. C. Wong,et al.  A gray-level threshold selection method based on maximum entropy principle , 1989, IEEE Trans. Syst. Man Cybern..

[119]  Ronald W. Schafer,et al.  Multilevel thresholding using edge matching , 1988, Comput. Vis. Graph. Image Process..

[120]  Fernand S. Cohen,et al.  A maximum-likelihood approach to segmenting range data , 1988, IEEE J. Robotics Autom..

[121]  Anil K. Jain,et al.  Segmentation and Classification of Range Images , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[122]  Haluk Derin,et al.  Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[123]  Bart Kosko,et al.  Fuzzy entropy and conditioning , 1986, Inf. Sci..

[124]  Andrew K. C. Wong,et al.  A new method for gray-level picture thresholding using the entropy of the histogram , 1985, Comput. Vis. Graph. Image Process..

[125]  Wen-Hsiang Tsai,et al.  Moment-preserving thresolding: A new approach , 1985, Comput. Vis. Graph. Image Process..

[126]  Azriel Rosenfeld,et al.  The fuzzy geometry of image subsets , 1984, Pattern Recognit. Lett..

[127]  Azriel Rosenfeld,et al.  Histogram concavity analysis as an aid in threshold selection , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[128]  Thierry Pun,et al.  A new method for grey-level picture thresholding using the entropy of the histogram , 1980 .

[129]  Shmuel Peleg,et al.  A New Probabilistic Relaxation Scheme , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[130]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[131]  Azriel Rosenfeld,et al.  Image Segmentation by Pixel Classification in (Gray Level, Edge Value) Space , 1978, IEEE Transactions on Computers.

[132]  T. W. Ridler,et al.  Picture thresholding using an iterative selection method. , 1978 .

[133]  A. Rosenfeld,et al.  A Note on the Use of Second-Order Gray Level Statistics for Threshold Selection. , 1977 .

[134]  Azriel Rosenfeld,et al.  Histogram modification for threshold selection , 1977 .

[135]  H. H. Rosenbrock,et al.  An Automatic Method for Finding the Greatest or Least Value of a Function , 1960, Comput. J..