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Cristin Rajan
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2020 – today
- 2026
[j18]Kamali Samudram Manickam, Uma Devi Gurumuni Nathan, Narlagiri Shilpa, Malathy Vanniappan, Kodela Rajkumar, Cristin Rajan:
Allocation of UPQC in distribution grids using a hybrid optimisation strategy. Int. J. Control 99(3): 883-899 (2026)- 2025
[j17]Madan Lal Saini
, Aravapalli Rama Satish, Telu Venkata Madhusudhana Rao, Jyothi Mandala, Smritilekha Das
, Cristin Rajan:
A novel multigrade classification in FL using brain MRI images based on FHAT_EfficientNet. Int. J. Ad Hoc Ubiquitous Comput. 49(4): 251-269 (2025)
[j16]Anbhazhagan Purushothaman, Gopalsamy Venkadakrishnan Sriramakrishnan, Ponnusamy Gnanaprakasam Om Prakash, Cristin Rajan
:
A novel fractional rat hawk optimization-enabled routing with deep learning-based energy prediction in wireless sensor networks. Int. J. Commun. Syst. 38(3): nla (2025)- 2023
[j15]Ramachandro Majji, R. Rajeswari, Ch. Vidyadhari, Cristin Rajan:
Squirrel Search Deer Hunting-Based Deep Recurrent Neural Network for Survival Prediction Using PAN-Cancer Gene Expression Data. Comput. J. 66(1): 245-266 (2023)
[j14]Ramachandro Majji, Om Prakash P. G, R. Rajeswari, Cristin Rajan:
Smart IoT in Breast Cancer Detection Using Optimal Deep Learning. J. Digit. Imaging 36(4): 1489-1506 (2023)- 2022
[j13]Ganapathi Nalinipriya
, Balajee Maram
, Chittibabu Priya, Cristin Rajan:
Ransomware recognition in blockchain network using water moth flame optimization-aware DRNN. Concurr. Comput. Pract. Exp. 34(19) (2022)
[j12]Cristin Rajan
, Sasi Padma Premnath, John Patrick Ananth:
Image tampering detection in image forensics using earthworm-rider optimization. Concurr. Comput. Pract. Exp. 34(26) (2022)
[j11]Veerraju Gampala
, Balajee Maram
, S. Vigneshwari
, Cristin Rajan
:
Glaucoma detection using hybrid architecture based on optimal deep neuro fuzzy network. Int. J. Intell. Syst. 37(9): 6305-6330 (2022)
[j10]R. Rajeswari, Veerraju Gampala
, Balajee Maram
, Cristin Rajan
:
FWLICM-Deep Learning: Fuzzy Weighted Local Information C-Means Clustering-Based Lung Lobe Segmentation with Deep Learning for COVID-19 Detection. J. Digit. Imaging 35(6): 1463-1478 (2022)- 2021
[j9]Cristin Rajan
, K. Suresh Kumar
, P. Anbhazhagan:
Severity Level Classification of Brain Tumor based on MRI Images using Fractional-Chicken Swarm Optimization Algorithm. Comput. J. 64(10): 1514-1530 (2021)
[j8]Mariappan Navaneethakrishnan
, Subbiah Vairamuthu, Govindaswamy Parthasarathy, Cristin Rajan
:
Atom search-Jaya-based deep recurrent neural network for liver cancer detection. IET Image Process. 15(2): 337-349 (2021)
[j7]P. G. Om Prakash
, Balajee Maram
, Ganapathi Nalinipriya, Cristin Rajan
:
Harmony search Hawks optimization-based Deep reinforcement learning for intrusion detection in IoT using nonnegative matrix factorization. Int. J. Wavelets Multiresolution Inf. Process. 19(4): 2050093:1-2050093:24 (2021)
[j6]Ganapathi Nalinipriya, Balajee Maram
, Ch. Vidyadhari, Cristin Rajan
:
Optimized deep stacked autoencoder for ransomware detection using blockchain network. Int. J. Wavelets Multiresolution Inf. Process. 19(6): 2150022:1-2150022:29 (2021)
[j5]Ramachandro Majji
, Ganapathi Nalinipriya, Ch. Vidyadhari, Cristin Rajan
:
Jaya Ant lion optimization-driven Deep recurrent neural network for cancer classification using gene expression data. Medical Biol. Eng. Comput. 59(5): 1005-1021 (2021)- 2020
[j4]Cristin Rajan
, B. Santhosh Kumar
, C. Priya, K. Karthick
:
Deep neural network based Rider-Cuckoo Search Algorithm for plant disease detection. Artif. Intell. Rev. 53(7): 4993-5018 (2020)
[j3]Ramachandro Majji
, Ponnusamy Gnanaprakasam Om Prakash
, Cristin Rajan
, Govindaswamy Parthasarathy:
Social bat optimisation dependent deep stacked auto-encoder for skin cancer detection. IET Image Process. 14(16): 4122-4131 (2020)
2010 – 2019
- 2018
[j2]Cristin Rajan
, John Patrick Ananth, Velankanni Cyril Raj:
Illumination-based texture descriptor and fruitfly support vector neural network for image forgery detection in face images. IET Image Process. 12(8): 1439-1449 (2018)- 2017
[j1]Cristin Rajan
, Velankanni Cyril Raj:
Consistency features and fuzzy-based segmentation for shadow and reflection detection in digital image forgery. Sci. China Inf. Sci. 60(8): 082101:1-082101:18 (2017)
Coauthor Index

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