IEIE SPC - IEIE Transactions on Smart Processing & Computing

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Li Y., Chen M., Yang Y., Zhou M., 2017, Convolutional Recurrent Neural Network-Based Channel Equalization: An Experimental Study., In 2017 23rd Asia-Paciﬁc Conference On Communi-cations (APCC), pp. pages 1-6

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20

Huang Y., Lu C., Berg M, Odling P., 2018, Functional Split of Zero-Forcing Based Massive MIMO for Fronthaul Load Reduction., IEEE Access, Vol. 6, pp. 6350-6359.

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Disxit S., Nagaria D., 2017, LMS Adaptive Filters for Noise Cancellation: A Review., International Journal of Electrical and Computer Engineering (IJECE), Vol. 7, No. 5, pp. 2520-2529.

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Mishra R. C., Bhattacharjee R., 2017, Performance Analysis of Adaptive DFE Using Set-Membership Binormalized Data-Reusing LMS Algorithm for Frequency Selective Mimo Channels., Aeu - International Journal of Electronics and Communications, Vol. 77, pp. 91-99.

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Li B., Yang H., Liu G., Peng X., 2017, A New Joint Channel Equalization and Estimation Algorithm for Underwater Acoustic Channels., Eurasip Journal on Wireless Communications and Networking.

25

Martinek R., Konecny J., Koudelka P., Nazeran H., 2017, Adaptive Optimization Of Control Parameters For Feed-Forward Software Defined Equalization., Wireless Personal Communications, Vol. 95, pp. 4001-4011.

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Nanda S. J., Jonwal N., 2017, Robust Nonlinear Channel Equalization Using Wnn Trained By Symbiotic Organism Search Algorithm., Applied Soft Computing, Vol. 57, pp. 197-209.

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Zahoor T., Sabraj D. M., 2018, Lms-Rls Joint Adaptive Equalization In Wireless Communications., International Journal of Advanced Research In Computer Science, Vol. 9, No. 2, pp. 749-753

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Thu N. N., Sylvester G., Memon F. A., Bu C., 2019, Channel Equalization Techniques To Mitigate Inter-Symbol Interference In Wireless Communi-cation., International Journal Of Research In Engineering And Innovation (IJREI), Vol. 3, No. 3, pp. 195-199

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Bierk H., Alsaedi M. A., 2019, Recursive Least Squares Algorithm For Adaptive Transversal Equalization Of Linear Dispersive Communication Channel., Journal Of Engineering Science And Technology, Vol. 14, No. 2, pp. 1043-1054.

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Zhang Y., Zakharov Y. V., Li J., 2018, Soft-Decision-Driven Sparse Channel Estimation and Turbo Equalization for Mimo Underwater Acoustic Communications., IEEE Access, Vol. 6, pp. 4955-4973

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Wang H., Guo Y., 2015, A Blind Equalization Algorithm Based on Global Artificial Fish Swarm and Genetic Optimization DNA Encoding Sequences., International Industrial Informatics and Computer Engineering Conference (IIICEC 2015), pp. 131-134

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D.C. D. , S.P. J. V. R. , 2017, Novel Cat Swarm Optimization Algorithm to Enhance Channel Equalization., Compel - The International Journal For Computation And Mathematics In Electrical And Electronic Engineering, Vol. 36, No. 1, pp. 350-363

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Utkarsh A., Kantha A. S., Praveen J., Kumar J. R., 2015, Hybrid GA-PSO Trained Functional Link Artificial Neural Network Based Channel Equalizer., 2nd International Conference on Signal Processing and Integrated Networks (Spin), pp. 285-290

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Sahoo J., Mishra L., Mohanty M. N., 2016, Ga Based Optimization of Sign Regressor Flann Model for Channel Equalization., Advances in Intelligent Systems and Computing, pp. 124-130

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Iqbal N., Zerguine A., Al-Dhahir N., 2015, Decision Feedback Equalization Using Particle Swarm Optimization., Signal Processing, Vol. 108, pp. 1-12

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Lalbakhsh A., Afzal M. U., Esselle K. P., 2017, Multi-objective Particle Swarm Optimization to Design a Time-Delay Equalizer Metasurface for an Electromagnetic Band-Gap Resonator Antenna., IEEE Antennas and Wireless Propagation Letters, Vol. 16, pp. 912-915

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Romia A. M., Ali H. S., Abdalla M. I., 2018, Design Optimization of LMS-Based Adaptive Equalizer for Zigbee Systems with Fading Channels., 2018 International Conference On Computing Mathematics And Engineering Technologies (ICOMET).

42

Diana D. C., Rani S. P. J. V., 2016, Enhancement in channel equalization Using Particle Swarm Optimization Techniques., Circuits and Systems, Vol. 7, pp. 4071-4084

43

Das G., Panda S., Padhy S. K., 2017, Quantum Particle Swarm Optimization Tuned Artificial Neural Network Equalizer., Soft Computing: Theories and Applications, pp. 579-585

44

Saideh M., Berbineau M., Dayub L., 2018, On Doubly Selective Channel Estimation for Fbmc-Oqam Using The Lmmse Filter For Future Railway Communications., 16th International Conference on Intelligent Transportation Systems Telecommuni-cations (Itst).

45

Ma X., Yang F., Liu S., Song J., Han Z., 2018, Sparse Channel Estimation for MIMO-OFDM Systems in High-Mobility Situations., IEEE Transactions on Vehicular Technology, Vol. 67, No. 5, pp. 6113-6124

46

Wei L., Zheng J., 2019, Approximate Message Passing-Aided Iterative Channel Estimation and Data Detection of OFDM-IM in Doubly Selective Channels., IEEE Access, Vol. 7, pp. 133410-133420

47

Yong L., Guodong S., Xuanfan S., Zhumin Z., Xinyi Y., Xiaoyan Z., Haimei Y., Nan Z., 2018, BEM-Based Channel Estimation and Interpolation Methods for Doubly-Selective OFDM Channel., BEM-Based Channel Estimation and Interpolation Methods for Doubly-Selective OFDM Channel, pp. 70-75

48

Yang Y., Gao F., Ma X., Zhang S., 2019, Deep Learning-Based Channel Estimation For Doubly Selective Fading Channels., IEEE Access, Vol. 7, pp. 36579-36589

49

Tian Z., Fong S., 2016, Survey of Meta-Heuristic Algorithms for Deep Learning Training., Optimization Algorithms - Methods and Applications.

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Mohammad Khajehzadeh , Mohd Raihan Taha , Ahmed El-Shafie , Mahdiyeh Eslami. , 2011, A Survey on Meta-Heuristic Global Optimization Algorithms., Research Journal of Applied Sciences, Engineering and Technology, Vol. 3, No. 6, pp. 569-578

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Hamamoto A. H., Carvalho L. F., Sampaio L. D. H., Abrão T., Proença M. L., 2018, Network Anomaly Detection System using Genetic Algorithm and Fuzzy Logic., Expert Systems with Applications, Vol. 92, pp. 390-402

52

M. F. Sohail , Sheraz Alam , Asad Hussain , Sajjad A. Ghauri , Mubashar Sarfraz , M. A. Ahmed. , 2017, Multiuser detection: Comparative analysis of heuristic approach., International Journal of Advanced and Applied Sciences, Vol. 4, No. 6, pp. 115-120

53

Sheraz Alam , Mubashar Sarfraz , M. B. Usman , M. A. Ahmad , 2017, , Dynamic resource allocation for cognitive radio based smart grid communication networks., International Journal of Advanced and Applied Sciences, Vol. 4, No. 10, pp. 76-83

54

Saptarshi Sengupta , Sanchita Basak , Richard Alan Peters II. , Particle Swarm Optimization: A Survey of Historical and Recent Developments with Hybridization Perspectives., Machine learning and knowledge extraction, Vol. 1, No. , pp. 157-191

55

Tharwat A., Elhoseny M., Hassanien A. E., Gabel T., Kumar A., 2018, Intelligent Bézier curve-based path planning model using Chaotic Particle Swarm Optimization algorithm., Cluster Computing.

56

Wang D., Tan D., Liu L., 2017, Particle swarm optimization algorithm: an overview., Soft Computing, Vol. 22, No. 2, pp. 387-408

57

Pan X., Xue L., Lu Y., Sun N., 2018, Hybrid particle swarm optimization with simulated annealing., Multimedia Tools and Applications.

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Xu G., Yu G., 2018, Reprint of: On convergence analysis of particle swarm optimization algorithm., Journal of Computational and Applied Mathematics, Vol. 340, pp. 709-717

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Rahmani Hosseinabadi A. A., Vahidi J., Saemi B., Sangaiah A. K., Elhoseny M., 2018, Extended Genetic Algorithm for solving open-shop scheduling problem., Soft Computing.

60

Deng W., Liu H., Xu J., Zhao H., Song Y., 2020, An Improved Quantum-Inspired Differential Evolution Algorithm for Deep Belief Network., IEEE Transactions on Instrumentation and Measurement

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Mohamed A. W., 2017, A novel differential evolution algorithm for solving constrained engineering optimization problems., Journal of Intelligent Manufacturing, Vol. 29, No. 3, pp. 659-692

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Peng L., Liu S., Liu R., Wang L., 2018, Effective Long short-term Memory with Differential Evolution Algorithm for Electricity Price Prediction., Energy.

63

Wu X., Che A., 2018, A memetic differential evolution algorithm for energy-efficient parallel machine scheduling., Omega.

64

Alam S., Malik A. N., Qureshi I. M., Ghauri S. A., Sarfraz M., 2018, Clustering-Based Channel Allocation Scheme for Neighborhood Area Network in a Cognitive Radio Based Smart Grid Communication., IEEE Access, Vol. 6, pp. 25773-25784

65

Pappula L., Ghosh D., 2018, Cat swarm optimization with normal mutation for fast convergence of multimodal functions., Applied Soft Computing, Vol. 66, pp. 473-491

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Zhang Y.-D., Sui Y., Sun J., Zhao G., Qian P., 2018, Cat Swarm Optimization applied to alcohol use disorder identification., Multimedia Tools and Applications, Vol. 77, No. 17, pp. 22875-22896

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Guo L., Meng Z., Sun Y., Wang L., 2018, A modified cat swarm optimization based maximum power point tracking method for photovoltaic system under partially shaded condition., Energy, Vol. 144, pp. 501-514

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Alarifi A., Tolba A., Al-Makhadmeh Z., Said W., 2018, A big data approach to sentiment analysis using greedy feature selection with cat swarm optimization-based long short-term memory neural networks., The Journal of Supercomputing.

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Xue Y., Jiang J., Zhao B., Ma T., 2017, A self-adaptive artificial bee colony algorithm based on global best for global optimization., Soft Computing, Vol. 22, No. 9, pp. 2935-2952

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Chen J., Yu W., Tian J., Chen L., Zhou Z., 2018, Image contrast enhancement using an artificial bee colony algorithm., Swarm and Evolutionary Computation, Vol. 38, pp. 287-294

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Han X, Wang Y, Cai C, Hou X, Wang L, 2020, An Efficient Universal Bee Colony Optimization Algorithm., Tehnicki Vjesnik - Technical Gazette, Vol. 27, No. 1

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Rao H., Shi X., Rodrigue A. K., Feng J., Xia Y., Elhoseny M., Gu L., 2018, Feature selection based on artificial bee colony and gradient boosting decision tree., Applied Soft Computing.

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Moslehi F., Haeri A., Martínez-Álvarez F., 2019, A novel hybrid GA-PSO framework for mining quantitative association rules., Soft Computing.

74

Liang Z., Ouyang J., Yang F., 2018, A hybrid GA-PSO optimization algorithm for conformal antenna array pattern synthesis., Journal of Electromagnetic Waves and Applications, Vol. 32, No. 13, pp. 1601-1615

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Shah S. I. H., Alam S., Ghauri S. A., Hussain A., Ansari F. A., 2019, A Novel Hybrid Cuckoo Search-Extreme Learning Machine Approach for Modulation Classification., IEEE Access

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Alam S., Aqdas N., Qureshi I. M., Ghauri S. A., Sarfraz M., 2019, Joint power and channel allocation scheme for IEEE 802.11af based smart grid communication network., Future Generation Computer Systems.

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Ali M., Ahn C. W., 2014, An optimal image watermarking approach through cuckoo search algorithm in wavelet domain., International Journal of System Assurance Engineering and Management, Vol. 9, No. 3, pp. 602-611

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Aziz M. A. E., Hassanien A. E., 2016, Modified cuckoo search algorithm with rough sets for feature selection., Neural Computing and Applications, Vol. 29, No. 4, pp. 925-934

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