Browse Journals

[1] R. Rajabioun, Cuckoo optimization algorithm, Applied Soft Computing 11(8) (2011), 5508-5518.

DOI: https://doi.org/10.1016/j.asoc.2011.05.008

[2] B. M. Ismail, B. E. Reddy and T. B. Reddy, Cuckoo inspired fast search algorithm for fractal image encoding, Journal of King Saud University: Computer and Information Sciences 30(4) (2018), 462-469.

DOI: https://doi.org/10.1016/j.jksuci.2016.11.003

[3] M. A. A. Abdualrhman and M. C. Padma, CS-IBC: Cuckoo search based incremental binary classifier for data streams, Journal of King Saud University: Computer and Information Sciences 31(3) (2017), 367-377.

DOI: https://doi.org/10.1016/j.jksuci.2017.05.008

[4] P. Mohapatra, S. Chakravarty and P. K. Dash, An improved cuckoo search based extreme learning machine for medical data classification, Swarm and Evolutionary Computation 24 (2015), 25-49.

DOI: https://doi.org/10.1016/j.swevo.2015.05.003

[5] R. Panda, S. Agrawal and S. Bhuyan, Edge magnitude based multilevel thresholding using cuckoo search technique, Expert Systems with Applications 40(18) (2013), 7617-7628.

DOI: https://doi.org/10.1016/j.eswa.2013.07.060

[6] S. Suresh and S. Lal, An efficient cuckoo search algorithm based multilevel thresholding for segmentation of satellite images using different objective functions, Expert Systems with Applications 58 (2016), 184-209.

DOI: https://doi.org/10.1016/j.eswa.2016.03.032

[7] S. Samanta, N. Dey, P. Das, S. Acharjee and S. Chaudhuri, Multilevel threshold based gray scale image segmentation using cuckoo search, in Proceedings of the International Conference on Emerging Trends in Electrical, Communication and Information Technologies (ICECIT), Anantapur, India, 12-23 December (2012).

[8] M. M. Synthuja Jain Preetha, L. P. Suresh and M. J. Bosco, Cuckoo search based threshold optimization for initial seed selection in seeded region growing, International Journal of Computational Engineering Research 3(8) (2014), 39-42.

[9] I. Brajevic, M. Tuba and N. Bacanin, Multilevel image thresholding selection based on the cuckoo search algorithm, in Proceedings of the 5th International Conference on Visualization, Imaging and Simulation (VIS’12), Sliema, Malta, (2012), 217-222.

[10] A. K. Bhandari, V. K. Singh, A. Kumar and G. K. Singh, Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy, Expert Systems with Applications 41(7) (2014), 3538-3560.

DOI: https://doi.org/10.1016/j.eswa.2013.10.059

[11] Er. Prachi and Er. Jasmeet Kaur, Hybrid approach of cuckoo search-ant colony optimization and DWT-SVD for satellite image contrast and brightness enhancement, International Journal of Computer Science and Communication Engineering 4(3) (2015).

[12] S. Vennila and A. Venkatesan, Improved color satellite image segmentation using cuckoo search algorithm, International Journal of Innovative Research in Computer and Communication Engineering 5(4) (2017), 8229-8236.

[13] M. K. Naik and R. Panda, A novel adaptive cuckoo search algorithm for intrinsic discriminant analysis based face recognition, Applied Soft Computing 38(C) (2016), 661-675.

DOI: https://doi.org/10.1016/j.asoc.2015.10.039

[14] M. Mbuyamba, J. Cruz-Duarte, J. Avina-Cervantes, C. Correa-Cely, D. Lindner and C. Chalopin, Active contours driven by cuckoo search strategy for brain tumour images segmentation, Expert System Applications 56 (2016), 59-68.

DOI: https://doi.org/10.1016/j.eswa.2016.02.048

[15] G. Das, Cuckoo search based soft computing approach for quality analysis of white poppy seeds, International Journal of Advanced Research in Computer Science 4(4) (2013), 60-64.

DOI: https://doi.org/10.26483/ijarcs.v4i4.1597

[16] N. Sri Madhava Raja and R. Vishnupriya, Kapur’s entropy and cuckoo search algorithm assisted segmentation and analysis of RGB images, Indian Journal of Science and Technology 9(17) (2016), 1-6.

DOI: https://doi.org/10.17485/ijst/2016/v9i17/89936

[17] G. V. Manaswi and A. V. Kiranmai, A methodology for MRI image segmentation using cuckoo search optimization technique, International Journal of Scientific Engineering and Technology Research 5(42) (2016), 8703-8707.

[18] E. Ben George, G. Jeba Rosline and D. Gnana Rajesh, Brain tumor segmentation using cuckoo search optimization for magnetic resonance images, Proceedings of the IEEE 8th GCC Conference and Exhibition, Muscat, Oman, 1-4 February, 2015.

DOI: https://doi.org/10.1109/IEEEGCC.2015.7060024

[19] A. S. Ashour, S. Samanta, N. Dey, N. Kausar, W. Ben Abdessalemkaraa and A. E. Hassanien, Computed tomography image enhancement using cuckoo search: A log transform based approach, Journal of Signal and Information Processing 6(3) (2015), 244-257.

DOI: https://doi.org/10.4236/jsip.2015.63023

[20] S. A. Pradeep and R. Manavalan, Analysis of cuckoo search with genetic algorithm for image compression, International Journal of Engineering Research 2(6) (2013), 386-392.

[21] K. R. Babu and K. V. N. Sunitha, Enhancing digital images through cuckoo search algorithm in combination with morphological operation, Journal of Computer Science 11(1) (2015), 7-17.

DOI: https://doi.org/10.3844/jcssp.2015.7.17