International Journals

1. Sheena K. S. and Madhu S. Nair, "DNACoder: A CNN-LSTM Attention-based Network for Genomic Sequence Data Compression", Neural Computing and Applications, Springer. (in press)

2. Lijin P., Mohib Ullah, Anuja Vats, Faouzi Alaya Cheikh, Santhosh Kumar G. and Madhu S. Nair, "Dual Encoder-Decoder Shifted Window-Based Transformer Network for Polyp Segmentation with Self-Learning Approach", IEEE Transactions on Artificial Intelligence, Vol.5, No.7, pp.3456-3469, July 2024. [link]

3. Lijin P., Mohib Ullah, Anuja Vats, Faouzi Alaya Cheikh, Santhosh Kumar G. and Madhu S. Nair, "EfficientPolypSeg: Efficient Polyp Segmentation in Colonoscopy Images using EfficientNet-B5 with Dilated Blocks and Attention Mechanisms", Biomedical Signal Processing and Control, Elsevier, Vol.93, Article No.106210, July 2024. [link]

4. Sheena K. S. and Madhu S. Nair, "GenCoder: A Novel Convolutional Neural Network based Autoencoder for Genomic Sequence Data Compression", IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol.21, No.3, pp.405-415, May-June 2024.  [link]

5. Anima V. A. and Madhu S. Nair, "On the Automated Unruptured Intracranial Aneurysm Segmentation from TOF-MRA using Deep Learning Techniques", IEEE Access, Vol.12, pp.53112-53125, April 2024. [link]

6. Preethi S. Nair and Madhu S. Nair, "KSVM-based Fast Intra Mode Prediction in HEVC using Statistical Features and Sparse Autoencoder", IEEE Access, Vol.12, pp.48846-48852, March 2024. [link]

7. Amritha Abdul Salam, Manjunatha Mahadevappa, Asha Das and Madhu S. Nair, "RDD-Net: Retinal Disease Diagnosis Network - A Computer-Aided Diagnosis Technique using Graph Learning and Feature Descriptors", The Visual Computer, Springer, Vol.39, No.10, pp.4657-4670, October 2023. [link]

8. Madhu S. Nair and Jesna Mohan, "VSMCNN-Dynamic Summarization of Videos using Salient Features from Multi-CNN Model", Journal of Ambient Intelligence and Humanized Computing, Springer, Vol.14, No.10, pp.14071-14080, October 2023. [link]

9. Jishnu Jeevan and Madhu S. Nair, "On the Performance Analysis of Solving the Rubik’s Cube using Swarm Intelligence Algorithms", Applied Artificial Intelligence, Taylor & Francis, Vol.36, No.1, Article No.2138129, pp.3373-3406, October 2022. [link]

10. Amritha Abdul Salam, Manjunatha Mahadevappa, Asha Das and Madhu S. Nair, "DRG-NET: A Graph Neural Network for Computer-Aided Grading of Diabetic Retinopathy", Signal, Image and Video Processing, Springer, Vol.16, No.7, pp.1869-1875, October 2022. [link]

11. Nirmal S. Nair and Madhu S. Nair, "Multi-View Stereo using Graph Cuts-based Depth Refinement", IEEE Signal Processing Letters, Vol.29, pp.1903-1907, August 2022. [link]

12. Asha Das, Vinod Kumar Devarampati and Madhu S. Nair, "NAS-SGAN: A Semi-supervised Generative Adversarial Network Model for Atypia Scoring of Breast Cancer Histopathological Images", IEEE Journal of Biomedical and Health Informatics, Vol.26, No.5, pp.2276-2287, May 2022. [link] [News Article] [Intel Report] [Intel Newsroom]

13. Bejoy Abraham and Madhu S. Nair, "Computer-Aided Detection of COVID-19 from CT Scans using an Ensemble of CNNs and KSVM Classifier", Signal, Image and Video Processing, Springer, Vol.16, No.3, pp.587-594, April 2022. [link]

14. Priya Mariam Raju and Madhu S. Nair, "Copy-move Forgery Detection using Binary Discriminant Features", Journal of King Saud University - Computer and Information Sciences, Elsevier, Vol.34, No.2, pp.165-178, February 2022. [link]

15. Gayathri J. L., Bejoy Abraham, Sujarani M. S. and Madhu S. Nair, "A Computer-Aided Diagnosis System for the Classification of COVID-19 and non-COVID-19 Pneumonia on Chest X-ray Images by Integrating CNN with Sparse Autoencoder and Feed Forward Neural Network", Computers in Biology and Medicine, Elsevier, Vol.141, Article No.105134, February 2022. [link]

16. Govind Jeevan, Geevar C. Zacharias, Madhu S. Nair and Jeny Rajan, "An Empirical Study of the Impact of Masks on Face Recognition", Pattern Recognition, Elsevier, Vol.122, Article No.108308, February 2022. [link]

17. Sithara Kanakaraj, Madhu S. Nair and Saidalavi Kalady, “Adaptive Importance Sampling Unscented Kalman Filter with Kernel Regression for SAR Image Super-Resolution”, IEEE Geoscience and Remote Sensing Letters, Vol.19, Article No.4004305, 2022. [link]

18. K. P. Baby Resma and Madhu S. Nair, "Multilevel Thresholding for Image Segmentation using Krill Herd Optimization Algorithm", Journal of King Saud University - Computer and Information Sciences, Elsevier, Vol.33, No.5, pp.528-541, June 2021.  [link]

19. Madhu S. Nair and Jesna Mohan, "Static Video Summarization using Multi-CNN with Sparse Autoencoder and Random Forest Classifier", Signal, Image and Video Processing, Springer, Vol.15, No.4, pp.735–742, June 2021. [link]

20. Asha Das, Madhu S. Nair and David Peter S., "Computer-Aided Histopathological Image Analysis Techniques for Automated Nuclear Atypia Scoring of Breast Cancer: A Review", Journal of Digital Imaging, Springer, Vol.33, No.5, pp.1091-1121, October 2020. [link]

21. Bejoy Abraham and Madhu S. Nair, "Computer-Aided Detection of COVID-19 from X-Ray Images using Multi-CNN and Bayesnet Classifier", Biocybernetics and Biomedical Engineering, Elsevier, Vol.40, No.4, pp.1436-1445, 2020. [link]

22. Santhu Sadasivan, T. T. Sivakumar, Anna P. Joseph, Geevar C. Zacharias and Madhu S. Nair, "Tongue Print Identification using Deep CNN for Forensic Analysis", Journal of Intelligent and Fuzzy Systems, IOS Press, Vol.38, No.5, pp.6415-6422, May 2020. [link]

23. Nirmal S. Nair and Madhu S. Nair, "On Evolutionary Computation Techniques for Multi-view Triangulation", Machine Vision and Applications, Springer, Vol.31, No.4, Article No.29, May 2020. [link]

24. Asha Das, Madhu S. Nair and David Peter S., "Batch Mode Active Learning on the Riemannian Manifold for Automated Scoring of Nuclear Pleomorphism in Breast Cancer", Artificial Intelligence in Medicine, Elsevier, Vol.103, Article No.101805, March 2020. [link]

25. Sithara Kanakaraj, Madhu S. Nair and Saidalavi Kalady, “Adaptive Importance Sampling Unscented Kalman Filter based SAR Image Super Resolution”, Computers and Geosciences, Elsevier, Vol.133, Article No.104310, December 2019. [link]

26. Jesna Mohan and Madhu S. Nair, "Domain Independent Redundancy Elimination based on Flow Vectors for Static Video Summarization", Heliyon, Elsevier, Vol.5, No.10, Article No.e02699, October 2019. [link]

27. Bejoy Abraham and Madhu S. Nair, "Automated Grading of Prostate Cancer using Convolutional Neural Network and Ordinal Class Classifier", Informatics in Medicine Unlocked, Elsevier, Vol.17, Article No.100256, 2019. [link]

28. Asha Das, Madhu S. Nair and David Peter S., "Kernel-based Fisher Discriminant Analysis on the Riemannian Manifold for Nuclear Atypia Scoring of Breast Cancer", Biocybernetics and Biomedical Engineering, Elsevier, Vol.39, No.3, pp.728-741, 2019. [link]

29. Preethi S. Nair, K. R. Rao and Madhu S. Nair, "A Machine Learning Approach for Fast Mode Decision in HEVC Intra Prediction based on Statistical Features", Journal of Intelligent and Fuzzy Systems, IOS Press, Vol.36, No.3, pp.2095-2106, March 2019. [link]

30. Bejoy Abraham and Madhu S. Nair, "Computer-Aided Grading of Prostate Cancer from MRI images using Convolutional Neural Networks", Journal of Intelligent and Fuzzy Systems, IOS Press, Vol.36, No.3, pp.2015-2024, March 2019. [link]

31. Jesna Mohan and Madhu S. Nair, "Domain Independent Static Video Summarization using Sparse Autoencoders and K-means Clustering", Journal of Intelligent and Fuzzy Systems, IOS Press, Vol.36, No.3, pp.1945-1955, March 2019. [link]

32. Asha Das, Madhu S. Nair and David Peter S., "Sparse Representation over Learned Dictionaries on the Riemannian Manifold for Automated Grading of Nuclear Pleomorphism in Breast Cancer", IEEE Transactions on Image Processing, Vol.28, No.3, pp.1248-1260, March 2019. [link]

33. Sabeena Beevi K., Madhu S. Nair and Bindu G. R., "Automatic Mitosis Detection in Breast Histopathology Images Using Convolutional Neural Network based Deep Transfer Learning", Biocybernetics and Biomedical Engineering, Elsevier, Vol.39, No.1, pp.214-223, 2019. [link]

34. Binu Balakrishnan, Darsana S. H., Jayamol Mathews and Madhu S. Nair, "Satellite/Aerial Image Compression using Adaptive Block Truncation Coding Technique", Journal of the Indian Society of Remote Sensing, Springer, Vol.46, No.11, pp.1761-1771, November 2018. [link]

35. Jesna Mohan and Madhu S. Nair, "Dynamic Summarization of Videos based on Descriptors in Space-Time Video Volumes and Sparse Autoencoder", IEEE Access, Vol.6, pp.59768-59778, November 2018. [link]

36. Bejoy Abraham and Madhu S. Nair, "Computer-Aided Classification of Prostate Cancer Grade Groups from MRI Images using Texture Features and Stacked Sparse Autoencoder", Computerized Medical Imaging and Graphics, Elsevier, Vol.69, pp.60-68, November 2018. [link]

37. Bejoy Abraham and Madhu S. Nair, "Computer-Aided Diagnosis of Clinically Significant Prostate Cancer from MRI Images using Sparse Autoencoder and Random Forest Classifier", Biocybernetics and Biomedical Engineering, Elsevier, Vol.38, No.3, pp.733-744, 2018. [link]

38. T. T. Sivakumar, Shali S. Nair, Geevar C. Zacharias, Madhu S. Nair and Anna P. Joseph, "Identification of Tongue Print Images for Forensic Science and Biometric Authentication", Journal of Intelligent and Fuzzy Systems, IOS Press, Vol.34, No.3, pp.1421-1426, March 2018. [link]

39. Sithara Kanakaraj, Madhu S. Nair and Saidalavi Kalady, "SAR Image Super Resolution using Importance Sampling Unscented Kalman Filter", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.11, No.2, pp.562-571, February 2018. [link]

40. Jithin Gokul, Madhu S. Nair and Jeny Rajan, "Guided SAR Image Despeckling with Probabilistic Non Local Weights", Computers and Geosciences, Elsevier, Vol.109, pp.16-24, December 2017. [link]

41. Aneesh Raj S. S., Madhu S. Nair and G. R. K. S. Subrahmanyam, "Satellite Image Resolution Enhancement using Nonsubsampled Contourlet Transform and Clustering on Subbands", Journal of the Indian Society of Remote Sensing, Springer, Vol.45, No.6, pp.979-991, December 2017. [link]

42. Arun D. Panicker and Madhu S. Nair, "Open Eye Detection using Iris-Sclera Pattern Analysis for Driver Drowsiness Detection", Sadhana, Indian Academy of Sciences, Springer, Vol.42, No.11, pp.1835-1849, November 2017. [link]

43. Sujin Surendran S., Jeny Rajan and Madhu S. Nair, "A Computationally Efficient Non-Local Maximum Likelihood Estimation Approach for Rician Noise Reduction in MRI", CSI Transactions on ICT, Springer, Vol.5, No.3, pp.247-257, September 2017. [link]

44. Dhanya Bibin, Madhu S. Nair and P. Punitha, "Malaria Parasite Detection from Peripheral Blood Smear Images using Deep Belief Networks", IEEE Access, Vol.5, pp.9099-9108, June 2017. [link]

45. Sabeena Beevi K., Madhu S. Nair and Bindu G. R., "A Multi-Classifier System for Automatic Mitosis Detection in Breast Histopathology Images using Deep Belief Networks", IEEE Journal of Translational Engineering in Health and Medicine, Vol.5, No.1, Article No.4300211, pp.1-11, May 2017. [link]

46. Sreedhanya L. R., Abi Varghese, Madhu S. Nair and M. Wilscy, "Temperature Mapping of a Rotary Kiln using Fuzzy Logic", Journal of Intelligent and Fuzzy Systems, IOS Press, Vol.32, No.4, pp.3059-3067, March 2017. [link]

47. Geevar C. Zacharias, Madhu S. Nair and P. Sojan Lal, "Fingerprint Reference Point Identification based on Chain Encoded Discrete Curvature and Bending Energy", Pattern Analysis and Applications, Springer, Vol.20, No.1, pp.253-267, February 2017. [link]

48. Sabeena Beevi K., Madhu S. Nair and Bindu G. R., "Automatic Segmentation of Cell Nuclei using Krill Herd Optimization based Multi-thresholding and Localized Active Contour Model", Biocybernetics and Biomedical Engineering, Elsevier, Vol.36, No.4, pp.584-596, 2016. [link]

49. Susmi Jacob and Madhu S. Nair, "Image Reconstruction from Random Samples using Multiscale Regression Framework", Neurocomputing, Elsevier, Vol.189, pp.95-105, May 2016. [link]

50. Jisha John, Madhu S. Nair, Anil Kumar P. R. and M. Wilscy, "A Novel Approach for Detection and Delineation of Cell Nuclei using Feature Similarity Index Measure", Biocybernetics and Biomedical Engineering, Elsevier, Vol.36, No.1, pp.76-88, 2016. [link]

51. Riji R., Jeny Rajan, Jan Sijbers and Madhu S. Nair, "Iterative Bilateral Filter for Rician Noise Reduction in MR Images", Signal, Image and Video Processing, Springer, Vol.9, No.7, pp.1543-1548, October 2015. [link]

52. Madhu S. Nair, "M-score: A Context-Specific Score to Assess Scientific Productivity with OEVGSI Grading", Current Science, Indian Academy of Sciences, Vol.109, No.3, pp.596-600, August 2015. [link] [Cover Page]

53. Pillai Praveen Thulasidharan and Madhu S. Nair, "QR Code Based Blind Digital Image Watermarking with Attack Detection Code", International Journal of Electronics and Communications (AEÜ), Elsevier, Vol.69, No.7, pp.1074-1084, July 2015. [link]

54. Jayamol Mathews and Madhu S. Nair, "Adaptive Block Truncation Coding Technique using Edge-based Quantization Approach", Computers and Electrical Engineering, Elsevier, Vol.43, pp.169-179, April 2015. [link]

55. Jisha John, Madhu S. Nair, K. G. Gopchandran and M. Wilscy, "Uniformity Analysis in Nanocrystalline Silver Thin Films using Fuzzy Inference System", Surface and Interface Analysis, Wiley, Vol.47, No.1, pp.161-165, January 2015. [link]

56. G. Raju, Bindu S. Moni and Madhu S. Nair, "A Novel Handwritten Character Recognition System using Gradient Based Features and Run Length Count", Sadhana, Indian Academy of Sciences, Springer, Vol.39, No.6, pp.1333-1355, December 2014. [link]

57. Vishnukumar S., Madhu S. Nair and M. Wilscy, "Edge Preserving Single Image Super-resolution with Improved Visual Quality", Signal Processing, Elsevier, Vol.105, pp.283-297, December 2014. [link]

58. Madhu S. Nair and P. M. Ameera Mol, "An Efficient Adaptive Weighted Switching Median Filter for Removing High Density Impulse Noise", Journal of The Institution of Engineers (India): Series B, Springer, Vol.95, No.3, pp.255-278, September 2014. [link]

59. Arjun J. S. and Madhu S. Nair, "Robust Face Recognition Technique using Gabor Phase Pattern and Phase Only Correlation", CSI Transactions on ICT, Springer, Vol.2, No.2, pp.85-95, June 2014. [link]

60. G. Raju and Madhu S. Nair, "A Fast and Efficient Color Image Enhancement Method Based on Fuzzy-Logic and Histogram", International Journal of Electronics and Communications (AEÜ), Elsevier, Vol.68, No.3, pp.237-243, March 2014. [link] [Among Top 25 Hottest Articles - 2014]

61. Neethu V. Gopal and Madhu S. Nair, "Fuzzy-ART Based Geometrically Invariant Robust Watermarking Scheme", Engineering Letters, IAENG, Vol.22, No.1, pp.8-17, February 2014. [link]

62. Madhu S. Nair and Viju Shankar, "Predictive-Based Adaptive Switching Median Filter for Impulse Noise Removal using Neural Network-Based Noise Detector", Signal, Image and Video Processing, Springer, Vol.7, No.6, pp.1041-1070, November 2013. [link]

63. Rema M. and Madhu S. Nair, "Segmentation of Human Intestinal Parasites from Microscopy Images using Localized Mean-Separation Based Active Contour Model", Biomedical Engineering Letters, Springer, Vol.3, No.3, pp.179-189, September 2013. [link]

64. Christy Jojy, Madhu S. Nair, G. R. K. S. Subrahmanyam and Riji R., "Discontinuity Adaptive Non-Local Means with Importance Sampling Unscented Kalman Filter for De-speckling SAR Images", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.6, No.4, pp.1964-1970, August 2013. [link]

65. Jisha Jose, Anil Prahladan and Madhu S. Nair, "Speckle Reduction and Contrast Enhancement of Ultrasound Images using Anisotropic Diffusion with Jensen Shannon Divergence Operator", Biomedical Engineering Letters, Springer, Vol.3, No.2, pp.87-94, June 2013. [link]

66. Madhu S. Nair and P. M. Ameera Mol, "Direction Based Adaptive Weighted Switching Median Filter for Removing High Density Impulse Noise", Computers and Electrical Engineering, Elsevier, Vol.39, No.2, pp.663-689, February 2013. [link] [Among Top 25 Hottest Articles - 2013]

67. Riji R., Keerthi A. S. Pillai, Madhu S. Nair and M. Wilscy, "Fuzzy Based Directional Weighted Median Filter for Impulse Noise Detection and Reduction", Fuzzy Information and Engineering, Springer, Vol.4, No.4, pp.351-369, December 2012. [link]

68. A. Nasimudeen, Madhu S. Nair and Rao Tatavarti, "Directional Switching Median Filter using Boundary Discriminative Noise Detection by Elimination", Signal, Image and Video Processing, Springer, Vol.6, No.4, pp.613-624, November 2012. [link]

69. Madhu S. Nair and G. Raju, "A New Fuzzy-Based Decision Algorithm for High Density Impulse Noise Removal", Signal, Image and Video Processing, Springer, Vol.6, No.4, pp.579-595, November 2012. [link]

70. Sasi Gopalan, C. Sheela, Madhu S. Nair, and Souriar Sebastian, "Fuzzy Lattice and Function Approximation in Image Processing", International Journal of Intelligent Systems Technologies and Applications, Inderscience, Vol.10, No.4, pp. 342-359, 2011. [link]

71. Madhu S. Nair and G. Raju, "Additive Noise Removal using a Novel Fuzzy-Based Filter", Computers and Electrical Engineering, Elsevier, Vol.37, No.5, pp.644-655, September 2011. [link]

72. Arun R., Madhu S. Nair, R. Vrinthavani and Rao Tatavarti, "An Alpha Rooting Based Hybrid Technique for Image Enhancement", Engineering Letters, IAENG, Vol.19, No.3, pp.159-168, August 2011. [link]

73. Madhu S. Nair, Rekha Lakshmanan, M. Wilscy and Rao Tatavarti, "Satellite Image Processing for Oceanic Applications using Fuzzy Logic", International Journal of Intelligent Systems Technologies and Applications, Inderscience, Vol.10, No.3, pp.289-301, 2011. [link]

74. Madhu S. Nair, Rekha Lakshmanan, M. Wilscy and Rao Tatavarti, "Fuzzy Logic Based Automatic Contrast Enhancement of Satellite Images of Ocean", Signal, Image and Video Processing, Springer, Vol.5, No.1, pp.69-80, March 2011. [link]

75. Rekha Lakshmanan, Madhu S. Nair, M. Wilscy and Rao Tatavarti, "Automatic Contrast Enhancement using Selective Gray Level Grouping", International Journal of Signal and Imaging Systems Engineering, Inderscience, Vol.3, No.2, pp. 126-135, 2010. [link]

76. Sasi Gopalan, Madhu S. Nair and Souriar Sebastian, "Approximation Studies on Image Enhancement using Fuzzy Technique", International Journal of  Advanced Science and Technology, SERSC, Vol.10, pp.11-26, September 2009.

77. Madhu S. Nair, R. Vrinthavani and M. Wilscy, "HBT Filter and Logarithmic Transform Based Edge Detection – A Modified Approach", Engineering Letters, IAENG, Vol.17, No.3, pp.159-164, August 2009. [link]

78. Madhu S. Nair and Jaya Vijayan, "Simplified Neural Model for the Software Development Team Optimization", The International Arab Journal of Information Technology, Vol.5, No.2, pp.148-153, April 2008. [link]

79. Madhu S. Nair and Jaya Vijayan, "Neural Model for the Optimization of Software Project Team", Egyptian Computer Science Journal, Vol.28, No.2, pp.25-32, May 2006. [link]

80. Madhu S. Nair and Deepa T., "Steganalysis - An Overview", South Asian Journal of Socio-Political Studies, Vol.6, No.1, pp.134-135, December 2005.

Book Chapters

1. Lijin P., Santhosh Kumar G. and Madhu S. Nair, "TransNet: Advancing Colonoscopy Polyp Segmentation through Transformer Integration", Eleventh International Conference on e-Health and Bioengineering - EHB 2023 (Bucharest, Romania), IFMBE Proceedings, Springer, November 2023. (in press)

2. C. B. Dev Narayan, Fayaz Rahman, Mohib Ullah, Faouzi Alaya Cheikh, Ali Shariq Imran, Christopher Coello, Øyvind Nordbø, Santhosh Kumar G. and Madhu S. Nair, "Tracking-by-Self Detection: A Self-supervised Framework for Multiple Animal Tracking", Nineteenth International Conference on Artificial Intelligence Applications and Innovations - AIAI 2023 (University of León, Spain), IFIP Advances in Information and Communication Technology, Springer, Vol.675, pp.561-572, June 2023. [link]

3. Preethi S. Nair and Madhu S. Nair, "On the analysis of HEVC Intra Prediction Mode Decision Variants", Third International Conference on Computing and Network Communications - CoCoNet 2019 (Thiruvananthapuram, India), Procedia Computer Science, Elsevier, Vol.171, pp.1887-1897, 2020. [link]

4. Jesna Mohan and Madhu S. Nair,  "Domain-Independent Video Summarization based on Transfer Learning using Convolutional Neural Network", First International Conference on Advances in Electrical and Computer Technologies - ICAECT 2019 (Coimbatore, India), Lecture Notes in Electrical Engineering (LNEE), Springer, Vol.672, pp.435-452, 2020. [link]

5. Shabila Beevi A. R., Mariya Thomas, Madhu S. Nair and M. Wilscy, "Lossless Color Image Compression using Double Level RCT in BBWCA",  Sixth International Conference on Advances in Computing and Communications - ICACC 2016 (Kochi, India), Procedia Computer Science, Elsevier, Vol.93, pp.513-520, 2016. [link]

6. Geevar C. Zacharias, Madhu S. Nair and P. Sojan Lal, "Pre- and Post-fingerprint Skeleton Enhancement for Minutiae Extraction", International Conference on Computer Vision & Image Processing - CVIP 2016 (IIT, Roorkee), Advances in Intelligent Systems and Computing, Springer, Vol.459, pp.453-465, 2016. [link] 

7. Kaushal Joshi, Kavitha R., and Madhu S. Nair, "Real Time Pedestrian Detection using CENTRIST Feature with Distance Estimation", Ninth International Conference on Advanced Computing and Communication Technologies - ICACCT 2015 (Panipat, India), Advances in Intelligent Systems and Computing, Springer, Vol.452, pp.223-232, 2016. [link]

8. Aneesh G. Nath, Madhu S. Nair and Jeny Rajan, "Single Image Super Resolution from Compressive Samples using Two Level Sparsity Based Reconstruction",  International Conference on Information and Communication Technologies - ICICT 2014 (CUSAT, Kochi, India), Procedia Computer Science, Elsevier, Vol.46, pp.1643-1652, 2015. [link]

9. Viswajith P. Viswanath, Ragesh N. K. and Madhu S. Nair, "ACM Based ROI Extraction for Pedestrian Detection with Partial Occlusion Handling", International Conference on Information and Communication Technologies - ICICT 2014 (CUSAT, Kochi, India), Procedia Computer Science, Elsevier, Vol.46, pp.45-52, 2015. [link]

10. Raji R., Deepak Mishra and Madhu S. Nair, "A Novel Texture Based Automated Histogram Specification for Color Image Enhancement using Image Fusion", International Conference on Information and Communication Technologies - ICICT 2014 (CUSAT, Kochi, India), Procedia Computer Science, Elsevier, Vol.46, pp.1501-1509, 2015. [link]

11. Nirmal S. Nair, Tojo Mathew, Neethu A. S., Viswajith P. Viswanath, Madhu S. Nair and Wilscy M., "A Proactive Approach to Reversible Data Hiding in Encrypted Images",  International Conference on Information and Communication Technologies - ICICT 2014 (CUSAT, Kochi, India), Procedia Computer Science, Elsevier, Vol.46, pp.1510-1517, 2015. [link]

12. Jayamol Mathews, Madhu S. Nair and Liza Jo, "A Novel Color Image Coding Technique using Improved BTC with k-means Quad Clustering", International Symposium on Signal Processing and Intelligent Recognition Systems - SIRS 2014 (IIITM-K, Thiruvananthapuram, India), Advances in Intelligent Systems and Computing, Springer, Vol.264, pp.347-357, 2014. [link]

13. Jithin Raj and Madhu S. Nair,  "Forgery Detection in Ballistic Motion Videos using Motion Estimation and Modelling", First International Conference on Mining Intelligence and Knowledge Exploration - MIKE 2013 (Virudhunagar, India), Lecture Notes in Computer Science (LNCS), Springer, Vol.8284, pp.328-339, 2013. [link]

14. Navaneeth K. Ramakrishnan, Pillai Praveen Thulasidharan, Arun D. Panicker and Madhu S. Nair,  "Multi-Pass Unsymmetric Trimmed Median Filter for Salt-and-Pepper Noise Removal", Fourth International Conference on Signal and Image Processing - ICSIP 2012 (Coimbatore, India), Lecture Notes in Electrical Engineering (LNEE), Springer, Vol.221, pp.365-374, 2013. [link]

15. Jayamol Mathews, Madhu S. Nair and Liza Jo,  "Improved BTC Algorithm for Gray Scale Images using k-means Quad Clustering", Nineteenth International Conference on Neural Information Processing - ICONIP 2012 (Doha, Qatar), Lecture Notes in Computer Science (LNCS), Springer, Vol.7666, pp.9-17, 2012. [link]

16. Antony Jobin, Madhu S. Nair and Rao Tatavarti,  "Plant Identification Based on Fractal Refinement Technique (FRT)", Second International Conference on Communication, Computing & Security - ICCCS 2012 (NIT-Rourkela, India), Procedia Technology, Elsevier, Vol.6, pp.171-179, 2012. [link]

17. Anand T. V., Madhu S. Nair and Rao Tatavarti, "Detection of Straight Lines using Rule Directed Pixel Comparison (RDPC) Method", International Conference on Advanced Computing, Networking and Security - ADCONS 2011 (NIT-Surathkal, India), Lecture Notes in Computer Science (LNCS), Springer, Vol.7135, pp.125-134, 2012. [link]

18. Madhu S. Nair and P. M. Ameera Mol, "Noise Adaptive Weighted Switching Median Filter for Removing High Density Impulse Noise", First International Conference on Advances in Computing and Communications - ACC 2011 (Kochi, India), Communications in Computer and Information Science (CCIS), Springer, Part III, Vol. 192, pp.193-204, July 2011. [link] [Best Paper Award]

19. Madhu S. Nair and J. Reji, "An Efficient Directional Weighted Median Switching Filter for Impulse Noise Removal in Medical Images", First International Conference on Advances in Computing and Communications - ACC 2011 (Kochi, India), Communications in Computer and Information Science (CCIS), Springer, Part III, Vol. 192, pp.276-288, July 2011. [link]

20. Sasi Gopalan, Madhu S. Nair, Souriar Sebastian and C. Sheela,  "Approximation Studies using Fuzzy Logic in Image Denoising Process",  First International Conference on Logic, Information, Control & Computation - ICLICC 2011 (Gandhigram, India), Communications in Computer and Information Science (CCIS), Springer, Vol. 140, pp.113-120, February 2011. [link]

21. M. Wilscy and Madhu S. Nair, "A New Fuzzy-Based Additive Noise Removal Filter", Advances in Electrical Engineering and Computational Science, Lecture Notes in Electrical Engineering (LNEE), Springer, Vol.39, pp.87-97, April 2009. [link]

22. M. Wilscy and Madhu S. Nair, "A New Method for Sharpening Color Images using Fuzzy Approach",  Fifth International Conference on Image Analysis and Recognition - ICIAR 2008 (Portugal), Lecture Notes in Computer Science (LNCS), Springer, Vol.5112, pp.65-74, June 2008. [link]

International Conferences

1. Lenat Thomas, Madhu S. Nair and Saptarshi Bej, "Autoencoder-Assisted Feature-Type Distributed Clustering for Clinical and Biomedical Data Analysis", IEEE International Conference on Electronics, Computing and Communication Technologies - IEEE CONECCT 2024 (Indian Institute of Science, Bangalore), IEEE Bangalore Section. (Accepted)

2. Sheena K. S. and Madhu S. Nair, "Lossless DNA Sequence Compression: Exploring Spatial and Sequential Redundancies of DNA Sequence with 2-D CNN Autoencoder", IEEE International Conference on Electronics, Computing and Communication Technologies - IEEE CONECCT 2024 (Indian Institute of Science, Bangalore), IEEE Bangalore Section. (Accepted)

3. Lijin P., Santhosh Kumar G. and Madhu S. Nair, "Dual Encoder-Decoder U-Net Architecture for Polyp Segmentation in Colonoscopy Images with Shuffle Attention and Conditional Random Fields", IEEE International Conference on Electronics, Computing and Communication Technologies - IEEE CONECCT 2024 (Indian Institute of Science, Bangalore), IEEE Bangalore Section. (Accepted)

4. Fayaz Rahman, C. B. Dev Narayan, Mohib Ullah, Muhammad Mudassar Yamin, Øyvind Nordbø, Christopher Coello, Ali Shariq Imran, Santhosh Kumar G., Madhu S. Nair and Faouzi Alaya Cheikh, "Self-supervised Animal Detection in Constrained Environment", First Workshop in Video Understanding and its Applications - VUA 2023 (Aberdeen, UK), Thirty-Fourth British Machine Vision Conference - BMVC 2023, The 34th BMVC Workshop Proceedings, pp.1-9, November 2023. [link]

5. Rineesh Babu P. and Madhu S. Nair, "Deepfake Detection using Multi-path CNN and Convolutional Attention Mechanism", IEEE MYSURUCON 2022 (Mysuru, India), IEEE Mysore Subsection, pp.1-6, October 2022. [link]

6. Nikhil Joson and Madhu S. Nair, "On the Performance of CNN and GAN models for Melanoma Classification", Second International Conference on Artificial Intelligence and Signal Processing - AISP 2022 (India), IEEE, pp.1-6, February 2022. [link] [Best Paper Award]

7. Neha M. V. and Madhu S. Nair, "A Novel Twitter Spam Detection Technique by Integrating Inception Network with Attention based LSTM", Fifth International Conference on Trends in Electronics and Informatics - ICOEI 2021 (Tirunelveli, India), IEEE, pp.1009-1014, June 2021. [link]

8. Nirmal S. Nair and Madhu S. Nair, "Multi-View Stereo using Cross-View Depth Map Completion and Row-Column Depth Refinement", Thirteenth International Conference on Digital Image Processing - ICDIP 2021 (Singapore), SPIE Proceedings, SPIE Digital Library, Vol.11878, Article No.118781N, June 2021. [link] [Best Presentation Award]

9. Nirmal S. Nair and Madhu S. Nair, "Scalable Multi-View Stereo using CMA-ES and Distance Transform Based Depth Map Refinement", Thirteenth International Conference on Machine Vision - ICMV 2020 (Rome, Italy), SPIE Proceedings, SPIE Digital Library, Vol.11605, Article No.116050Q, January 2021. [link]

10. Madhu S. Nair and Jesna Mohan, "Video Summarization using Convolutional Neural Network and Random Forest Classifier", IEEE TENCON 2019 (Kochi, India), IEEE Region 10, pp.476-480, October 2019. [link]

11. Bejoy Abraham and Madhu S. Nair, "On Computer-Aided Diagnosis of Prostate Cancer from MRI using Machine Intelligence Techniques", Third IEEE International Conference on Electrical, Computer and Communication Technologies - ICECCT 2019 (Coimbatore, India), IEEE, pp.1-8, February 2019. [link]

12. Jesna Mohan and Madhu S. Nair, "Static Video Summarization using Sparse Autoencoders", Third IEEE International Conference on Electrical, Computer and Communication Technologies - ICECCT 2019 (Coimbatore, India), IEEE, pp.1-8, February 2019. [link]

13. Sabeena Beevi K., Madhu S. Nair and Bindu G. R., "Detection of Mitotic Nuclei in Breast Histopathology Images using Localized ACM and Random Kitchen Sink based Classifier",  Thirty-eighth Annual International Conference of the IEEE Engineering in Medicine and Biology Society - EMBC 2016 (Florida, USA), IEEE EMBS, pp.2435-2439, August 2016. [link]

14. Sabeena Beevi K., Madhu S. Nair and Bindu G. R., "Automatic Segmentation and Classification of Mitotic Cell Nuclei in Histopathology Images Based on Active Contour Model", International Conference on Contemporary Computing and Informatics - IC3I 2014 (India), IEEE, pp.740-744, November 2014. [link]

15. Jisha John, Madhu S. Nair, K. G. Gopchandran and M. Wilscy, "Analyzing Surface Morphology of Thin Film Nanostructures using Feature Similarity Index Measure", International Conference on Advances in Computing, Communications and Information Science - ACCIS 2014 (India), Elsevier, pp.104-112, June 2014.

16. Jisha John, Madhu S. Nair, M. Wilscy and Anil Kumar P. R., "Cell Image Segmentation and Color Coding Based on Nucleus to Cell Ratio", International Conference on Electronics and Communication Systems - ICECS 2014 (India), IEEE, Vol.1, pp.286-290, February 2014. [link]

17. Reenu M., Dayana David, Aneesh Raj S. S. and Madhu S. Nair, "Wavelet Based Sharp Features (WASH): An Image Quality Assessment Metric Based on HVS", Second International Conference on Advanced Computing, Networking and Security - ADCONS 2013 (NITK Surathkal, India), IEEE Computer Society Press, pp.79-83, December 2013. [link]

18. Jayamol Mathews, Madhu S. Nair and Liza Jo,  "Modified BTC Algorithm for Gray Scale Images using max-min Quantizer", International Multi Conference on Automation, Computing, Control, Communication and  Compressed Sensing - iMac4s 2013 (India),  IEEE, pp.377-382, March 2013. [link]

19. Madhu S. Nair, R. Vrinthavani and M. Wilscy, "A Novel Approach for Edge Detection using HBT Filter and Logarithmic Transform",  International Conference onDigital Image Processing - ICDIP 2009 (Thailand), IEEE Computer Society Press, pp.243-246, March 2009. [link]

20. Madhu S. Nair, R. Rajasree, Jisha John and M. Wilscy, "Expectation-Maximization with Distance Measure for Color Image Segmentation", IEEE Region 10 Colloquium and Third International Conference on Industrial and Information Systems – ICIIS 2008 (IIT Kharagpur, India), IEEE, pp.1-5, December 2008. [link]

21. Rekha Lakshmanan, Madhu S. Nair, M. Wilscy and Rao Tatavarti, "Automatic Contrast Enhancement for Low Contrast Images : A Comparison of Recent Histogram Based Techniques", International Conference on Computer Science and Information Technology - ICCSIT 2008 (Singapore), IEEE Computer Society Press, pp. 269-276, August - September 2008. [link]

22. Madhu S. Nair and M. Wilscy, "Modified Method for Denoising Color Images using Fuzzy Approach", Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel / Distributed Computing - SNPD 2008 (Thailand), IEEE Computer Society Press, pp.507-512, August 2008. [link]

23. M. Wilscy and Madhu S. Nair, "Fuzzy Approach for Restoring Color Images Corrupted with Additive Noise", IAENG International Conference of Signal and Image Engineering - ICSIE 2008, IAENG World Congress on Engineering - WCE 2008 (London), Lecture Notes in Engineering and Computer Science, Vol.1, pp.637-642, July 2008. [link]

24. Madhu S. Nair, K. Revathy and Rao Tatavarti, "An Improved Decision-Based Algorithm for Impulse Noise Removal",  International Congress on Image and Signal Processing - CISP 2008 (China), IEEE Computer Society Press, Vol.1, pp.426-431, May 2008. [link]

25. Madhu S. Nair, K. Revathy and Rao Tatavarti, "Removal of Salt-and-Pepper Noise in Images: A New Decision-Based Algorithm", IAENG International Conference on Imaging Engineering - ICIE 2008, IAENG International Multiconference of Engineers and Computer Scientists - IMECS 2008 (Hong Kong), Lecture Notes in Engineering and Computer Science, Vol.1, pp.611-616, March 2008. [link]

National Journals

1. Jomy John and Madhu S. Nair, "Centralized Security Warning Model for Reducing the Cost of Security Holes Vulnerability", Journal of Computer Science, Vol.2, No.4, pp.294-298, Jan-Feb 2007.

2. Madhu S. Nair, "Compressed Storage and Regeneration of Real-Time Images", Journal of the Computer Society of India, Vol.36, No.1, pp.55-59, Jan-Mar 2006.

3. Madhu S. Nair, "Security Model for IEEE 802.11 Wireless LAN using WPA", Journal of Computer Science, Vol.1, No.3, pp.214-220, Nov-Dec 2005.