Anubha Pearline S, Sathiesh Kumar V, “High performance ensembled Convolutional Neural Network for Plant Species Recognition”, Communications in Computer and Information Science Book Series, Vol. 1378, Springer, pp. 526-538, 2021.For more details click here ...
Vaitheeshwari R, Sathiesh Kumar V and Anubha Pearline S, "Design and Implementation of Human Safeguard Measure using Separable Convolutional Neural Network Approach", Communications in Computer and Information Science Book Series, vol. 1148, Springer, pp. 319 - 330, 2020. For more details click here ...
Debarghya Barik, S. Abijah Roseline and Anubha Pearline S, "Windows Malware Detection Using Random Forest with Filter Feature Selection", International Conference on Intelligent Computing, Advanced Communication and Materials (IC2ACM 2023), Advances in Science, Technology & Innovation Book Series, Springer, Cham, pp. 105-112, 2026. For more details click here ...
Journal Publication
Anubha Pearline S, Kartik Sharma, Ramya Nakshathra R and Shruti S, "A Unified Fusion Ensemble Learning Framework for Comprehensive Healthcare Decision Support: Disease Prediction, Personalized Nutrition, and Mental Health Screening", Original Research, Frontiers in Artificial Intelligence - Medicine and Public Health - Under Review.
Anubha Pearline S, Rathna R and Kukku Youseff, "Lightweight Efficient Attention-Guided Deep Network for Dermoscopic Image Classification", Original Research, Frontiers in Digital Health - Human Factors and Digital Health - Under Review.
Anubha Pearline S, Vivek K and Anusriya S, "HARNet: An Efficient Lightweight 1-D Convolutional Neural Network for Human Activity Recognition", Frontiers in Artificial Intelligence - AI for Human Learning and Behavior Change - Under Review.
Anubha Pearline S, Geetha Subbiah, Ashley Sanu and Karunamayi Charumathi Venkatesan, "Multi-QuadEmoNet: Cat and Dog Emotion Classification Model from Animal Vocalization using Multi-Stage LSTM-GRU Paradigm", Frontiers in Veterinary Science, Sec. Animal Behavior and Welfare, Vol. 13, Article 1799281, 22nd June 2026. (Impact Factor: 3.1) For more details click here ...
Anubha Pearline S and Sathiesh Kumar V, “Performance analysis of real-time plant species recognition using bilateral network combined with machine learning classifier”, Ecological Informatics, Vol No. 67, 101492, 26th Nov 2021. (Impact Factor: 4.498) For more details click here ...
Anubha Pearline S and Sathiesh Kumar V, “DDLA: Dual deep learning architecture for Classification of Plant Species”, IET Image Processing, Vol no. 13, Issue no. 12, pp. 2176 to 2182, 2019. (Impact Factor: 1.995, Cite Score: 2.7, SNIP: 1.196, SJR:0.348). For more details click here ...
Anubha Pearline S, Sathiesh Kumar V and Harini S, “A study on plant recognition using conventional image processing and deep learning approaches”, Journal of Intelligent and Fuzzy Systems, Vol. 36, No. 3, pp. 1997 - 2004, 2019. (Impact Factor: 1.815). For more details click here ...
Anubha Pearline S, Hemalatha M, “Face Recognition Under Varying Blur in an Unconstrained Environment”, IJRET: International Journal of Research in Engineering and Technology, eISSN: 2319-1163 | pISSN: 2321-7308, Volume: 05 Issue: 04 | Apr-2016, Available at http://ijret.esatjournals.org. For more details click here ...
Conference Publication
Srivarsha, Thejeesh G and Anubha Pearline S, “Secure and Transparent Aid Distribution Framework using Blockchain and Zero Knowledge Proofs”, 2026 IEEE International Conference on Contemporary Computing and Communications (InC4), Christ University, Bangalore, 2026 – Presented.
Athul Krishna B, Aakash R P, Joshua Jose and Anubha Pearline S, “PrisonSecure: A Smart Surveillance System for Prisons using Deep Learning”, International Conference on Intelligent Systems and Digital Transformation 2025 (ICISD’25), SRM Institute of Science and Technology Vadapalani Campus, Chennai, Tamil Nadu, 5th - 6th May 2025 – Best Paper Award. For more details click here ...
Roseline, S.A and Anubha Pearline S, “Exploring Tree-Based Machine Learning for Multi-Illness Prediction”, 2024 International Conference on Knowledge Engineering and Communication Systems, ICKECS.
Geetha S, Anubha Pearline S and Karmabir Chakraborty, “PlantEIRNet: Plant Leaf Disease Detection Deep Neural Networks Using Farmland Images”, International Conference on Data Science, Agents and Artificial Intelligence 2023 (ICDSAAI2023), 21-23, December, 2023.
Sathiesh Kumar V and Anubha Pearline S, “Real-time Plant Species Recognition using Non-Averaged DenseNet-169 Deep Learning Paradigm”, 7th International Conference on Computer Vision and Image Processing (CVIP2022), VNIT Nagpur, 4-6th November 2022. For more details click here ...
Narain Ramaswamy S, Barath Vimanthann S, Siddhant R, Anubha Pearline and Muthurasu N “Classification of Retinal Images using self-created Penta-Convolutional Neural Network”, International Research Conference On Iot Cloud And Data Science 2022 (IRCICD 2022)-Accepted.
Rohan George Jose, Rithvik Rajmohan and S. Anubha Pearline, "Armament Detection using Deep Learning", International Research Conference on IoT, Cloud and Data Science (IRCICD2022), Chennai 2022- Accepted.
Anubha Pearline S and Sathiesh Kumar V, “Plant species recognition using custom developed Neural Network with optimized hyperparameters”, 4th International Conference on Machine Intelligence and Signal Processing (MISP 2022), NIT Raipur, 12-14th March 2022 – Presented. For more details click here ...
Anubha Pearline S and Sathiesh Kumar V, “High Performance Ensembled Convolutional Neural Network for Plant Species Recognition”, Conference on Computer Vision and Image Processing (CVIP-2020), IIIT Allahabad, 4-6th December 2020.
R. Vaitheeshwari, V. Sathiesh Kumar and Anubha Pearline S, “Design and Implementation of Human Safeguard Measure using Separable Convolutional Neural Network Approach”, Communications in Computer and Information Science Book Series, Vol. 1148, Springer, pp. 319 - 330, 2020.
Anubha Pearline S and Sathiesh Kumar V, “Plant species recognition using Modified LeNet-5 CNN Architecture”, National conference on Recent Trends in Instrumentation and Control (RTIC-2019), Dept. of Instrumentation Engineering, MIT Campus, Anna University, 4th and 5th March 2019.
Anubha Pearline S, Sathiesh Kumar V and Harini S, “A study on plant recognition using conventional image processing and deep learning approaches”, Fourth International Symposium on Intelligent Systems Technologies and Applications (ISTA 18), 19-22 September 2018.
Anubha Pearline S and Hemalatha M, “Face Recognition Under Varying Blur, Illumination and Expression in an Unconstrained Environment”, International Conference on Advances in Computational Intelligence and Communication (CIC 2016), Vol. 14 CIC 2016 Special Issue, ISSN 1947-5500, pg. no. 48-54. For more details click here ...