37
2016
Selvaperumal.P, and Suruliandi, A., “String Variant Alias Extraction Method using Ensemble Learner”, International Journal of Intelligent systems and Applications (IJISA), pp 59-65, Feb 2016, Volume: 08, Issue: 02, ISSN: 2074-9058
-
Google Scholar
--
38
S.Jenicka, Suruliandi.A, “Distributed texture-based land cover classification algorithm using hidden Morkov model for multispectral data”, Survey Review, Mar 2016, ISSN:0039-6265. Taylor & Francis (SCI, Scopus)
1.163
SCI, Scopus
22279
39
G. Murugeswari, A. Suruliandi, “Texture Classification and Segmentation using Roughness Feature Extraction through Edge Detection” , International Journal of Imaging and Robotics ,April 2016,Volume 16,Issue Number 2, ISSN-2231-525X (Scopus indexing)
Scopus
22917
40
S.Jenicka, A.Suruliandi, “Texture Based Land Cover Classification Algorithm Using Gabor Wavelet And Anfis Classifier”, ICTACT Journal on Image and Video Processing, May 2016,Vol. 6 , Issue: 4 , ISSN: 0976-9102
IET inspec
41
G. Murugeswari, A. Suruliandi, “Fuzzy based Roughness Feature for Image Classification and Segmentation” International Journal of Tomography and Simulation Year: 2016, Volume: 29, Issue Number: 3, ISSN 2319-3336;
0.32
STMA-Z
42
E. Poongothai And A. Suruliandi ,” Survey On Colour, Texture And Shape Features For Person Re-Identification” Indian Journal Of Science And Technology, Vol. 9, no. 29, Doi: 10.17485/Ijst/2016/V9i29/93823, August 2016, P-ISSN 0974-6846 E-ISSN 0974-5645
5.07
Indian Science Abstracts, India
43
E. Poongothai and A. Suruliandi,” Colour, Texture And Shape Feature Analysis For Person Re-Identification Technique” Advances In Vision Computing: An International Journal (AVC) Vol.3, No.3, Sep 2016; ISSN: 2349 – 2201
44
Raja. S. P and Suruliandi. A. “Evaluating Multiscale Transform based Image Compression using Encoding Techniques”, International Journal of Image and Graphics, Vol 16, Issue 4, Oct 2016, https://doi.org/10.1142/S0219467816500182; ISSN (print): 0219-4678 | ISSN (online): 1793-6756
0.66
Google Scholar, Scopus
45
T.Dhiliphanrajkumar, A.Suruliandi and P.Selvaperumal. “Query Recommendation by Coupling Personalization with Clustering for Search Engine” Int. J. Information Technology and Computer Science, Vol 11, pp.82-91 November 2016; ISSN: 2074-9007 (Print), 2074-9015 (Online)
0.716
46
R. Reena Rose, K. Meena and A. Suruliandi, “An Empirical Evaluation of the Local Texture Description Framework-Based Modified Local Directional Number Pattern with Various Classifiers for Face Recognition”, Brazilian Archives of Biology and Technology,Vol 59, Issue SPE2, Jan, 2016; ISSN 1678-4324
0.546
9159
47
2017
Benjamin Fredrick David, H., and A. Suruliandi. “Survey on Crime Analysis and Prediction Using Data Mining Techniques.” ICTACT Journal on Soft Computing vol. 7, no. 3, 2017. ISSN 0976-6561(Print), (Online) 2229-6956.
0.787
48
T. Dhiliphan Rajkumar, S. P. Raja, and A. Suruliandi, “Users’ Click and Bookmark Based Personalization Using Modified Agglomerative Clustering for Web Search Engine.” International Journal on Artificial Intelligence Tools, Vol. 26, No. 06, 2017. ISSN (print): 0218-2130 | ISSN (online): 1793-6349
0.565
SCIE
7774
49
A. Suruliandi, and Poongothai Elango. “Person re-identification based on pose angle estimation and multi-feature extraction.” IET Biometrics, vol. 4, no. 4, pp. 365- 370. Online ISSN 2047-4946, October, 2017.
1.836
30078
Listed
50
J.C. Kavitha, A Suruliandi, D Nagarajan, T Nadu , “Melanoma detection in dermoscopic images using global and local feature extraction”, International Journal of Multimedia and Ubiquitous Engineering, 2017, Vol.12, No. 5, pp 19-28; ISSN: 19750080
0.23
51
T. Dhilipan Rajkumar, S.P. Raja, A. Suruliandi, “Personalized Search Using a Novel Topic-Based Clustering Technique and Ranking” International Journal of Control Theory and Applications, vol. 10, no. 36, 2017; ISSN: 0974-5572
52
2018
Kasthuri. A, and A. Suruliandi, “Comparative Analysis of GIST feature based face annotation based techniques”, Sadakath: A research bulletin, Vol.05 Special Issue, 2018, ISSN: 2347-7644.
64130
53
Sinduja, A. and Suruliandi, A., 2018. “Block-based tri-channel hybrid segmentation of images for foreground extraction”. Sādhanā, vol. 43, no. 11, p.189, ISSN: 0256-2499 (print); eISSN: 0973-7677 (online)
0.592
68
54
S.P.Raja and A. Suruliandi, “Secured image compression using AES in bandelet domain”, Int. Journal Computational Science and Engineering, Vol. 17, No. 2, 2018. Inderscience (Scopus Indexing); ISSN online: 1742-7193; ISSN print: 1742-7185
2764
55
A Suruliandi, J.C. Kavitha, D Nagarajan, “An empirical evaluation of recent texture features for the classification of natural images”, International Journal of Computers and Applications, 2018, Taylor & Fransis, ISSN: 1206-212X (Print) 1925-7074 (Online)
2.098
Scopus, Google Scholar
2781
56
J. C. Kavitha and A. Suruliandi , (2018) “Feature Extraction Using Dominant Local Texture-Color Patterns (DLTCP) and Classification of Color Images” , Journal of Medical Systems Vol: 42, No. 11 ,pp-220. (Springer)
SCIE, Scopus, Google Scholar
24563
57
2019
H. Benjamin Fredrick David and A. Suruliandi, (2019), “Performance Evaluation of Ensemble classifiers on Benchmark Datasets”, Journal of Emerging Technologies and Innovative Research, Vol. 6, Issue 2, pp. 926-930; ISSN: 2349-5162
0.435
63975
58
H. Benjamin Fredrick David and A. Suruliandi.(2019) “Empirical Study of Ensemble Classifications on Benchmark Datasets” Journal of Analysis and Computation, Serial Publishers, pp.1-10. ISSN: 0973-2861
0.175
Google
Scholar
26412
59
H. Benjamin Fredrick David and A. Suruliandi, S. P. Raja, 2019 “Preventing crimes ahead of time by predicting crime propensity in released prisoners using Data Mining techniques”, International Journal of Applied Decision Sciences, Vol. 12, No. 3, pp 307 -336,
ISSN online 1755-8085 ISSN print 1755-8077
0.282
60
H. Benjamin Fredrick David, A. Suruliandi and S.P. Raja (2019) “Constructive Lazy Wolf Search Algorithm for Feature Selection in Classification” International Journal on Artificial Intelligence Tools, World Scientific, Vol. 28, No. 5, pp - 1950016 (27 pages), ISSN (print): 0218-2130 | ISSN (online): 1793-6349
61
Kasthuri A, A. Suruliandi and Raja S.P, 2019, “Gabor Oriented Local Order Features based Deep Learning for Face Annotation”, International Journal of Wavelets, Multiresolution and Information Processing, Vol. 17, No. 1, pp – 1950032 (26 pages)
ISSN (print): 0219-6913 | ISSN (online): 1793-690X
0.463
7748
62
Kasthuri A, Suruliandi. A and Poongothai. E, 2019, “An Emprical Evaluation of Name Semantic Network for Face”, Recent Patents on Computer Science, Vol. 12, No. 1, pp 1- 15, DOI: 10.2174/2213275912666190204141902; ISSN (Print): 2213-2759. ISSN (Online): 1874-4796
63
Suruliandi, A., Sinduja, A. and Raja, S.P., 2019, Texture classification using the rotational-invariant local symmetric tetra pattern. International Journal of Wavelets, Multiresolution and Information Processing, p.1950027. (Accepted for Publication); ISSN (print): 0219-6913 | ISSN (online): 1793-690X
SCIE, Google Scholar,Scopus
64
Poongothai, E.& Suruliandi. A, (2019), “Global and Local Oriented Gabor Texture Histogram for Person re-identification”, Brazilian Journal of Biology and Technology, Vol.62: e19180001, pp. 1 – 15, http://dx.doi.org/10.1590/1678-4324-2019180001; ISSN 1516-8913 (Print ); ISSN: 1678-4324 (On-line)
65
2020
A. Suruliandi, H. Benjamin Fredrick David and S. P. Raja (2020) “Attribute Rank based Weighted Decision Tree”, International Journal of Applied Decision Sciences, Vol. 13, No. 1, pp.46 – 73, ISSN online 1755-8085 ISSN print 1755-8077
66
A.Sinduja, A., Suruliandi, A., & Raja, S P., 2020, “Empirical Evaluation of Texture Features and Classifiers for Liver Disease Diagnosis”, International Journal of Image and Graphics, Vol. 20, No. 2 , pp- 2050015 (22 pages), https://doi.org/10.1142/S0219467820500151; ISSN (print): 0219-4678 | ISSN (online): 1793-6756
67
Poongothai, E.& Suruliandi, A., “Person Re-Identification Using kNN Classifier Based Fusion Approach” International Journal of Advanced Intelligence Paradigms, Inder science, Vol. 16, No. 2, 2020, pp. 113- 131; ISSN online: 1755-0394; print 1755-0386
2498
K.Ranjini, A. Suruliandi and S. P. Raja, “Machine Learning Techniques for Assisted Reproductive Technology – A Review”, Journal of Circuits, Systems, and Computers, World Scientific, Vol. 29, No. 8 (2020) pp.2030010 (24 pages)
DOI: 10.1142/S021812662030010X; ISSN (print): 0218-1266 | ISSN (online): 1793-6454.
1.363
69
2021
Suruliandi, K. Ranjini and S. P. Raja “Balancing Assisted Reproductive Technology Dataset for Improving the Efficiency of Incremental Classifiers and Feature Selection Techniques”, Journal of Circuits, Systems, and Computers, World Scientific, (Accepted for publication on Vol 30 No. 5, Apr 2021).
https://doi.org/10.1142/S0218126621300075; ISSN (print): 0218-1266 | ISSN (online): 1793-6454.
70
K. Ranjini, A. Suruliandi, and S. P. Raja, “An Ensemble of Heterogeneous Incremental Classifiers for Assisted Reproductive Technology Outcome Prediction”, IEEE Transactions on Computational Social Systems.
DOI. 10.1109/TCSS.2020.3032640; ISSN: 2329924X
3.290
SCIE, SSCI,
71
A. Suruliandi, G. Mariammal, S.P. Raja, “Crop Prediction based on Soil and Environmental Characteristics using Feature Selection Techniques”, Mathematical and Computer Modelling of Dynamical Systems.
0.766
72
G.Mariammal, A.Suruliandi, S.P.Raja, “Prediction of land suitability for Crop Cultivation using Classification Techniques” Brazilian Archives of Biology and Technology.
0.77
SCI
73
G.Mariammal, A. Suruliandi, S. P. Raja and E. Poongothai, “Prediction of Land Suitability for Crop Cultivation Based on Soil and Environmental Characteristics Using Modified Recursive Feature Elimination Technique With Various Classifiers,” in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2021.3074534.(Published on MAY 5 2021)
SCIE, Scopus
74
K.Ranjini, A. Suruliandi, S.P. Raja “Dynamic model for assisted reproductive technology outcome prediction” Brazilian Archives of Biology and Technology, Accepted for publication.Published:13/09/2021.
75
K.Ranjini, A. Suruliandi, S.P. Raja “A Hybrid Feature Ranking Algorithm For Assisted Reproductive Technology Outcome Prediction” Brazilian Archives of Biology and Technology, Vol.65, ISSN 1678-432 Online Edition. Accepted for publication. Published: 30.06.2022. https://doi.org/10.1590/1678-4324-2022210605
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