Justina Michael

About

Enthusiastic researcher in the world of Artificial Intelligence

Employment

• SRM Institute of Science and Technology Research Scholar
  2021 - Present
• Brainvalley Software Private Limited Technical Trainer
  2019 - 2020
• DMI College of Engineering Assistant Professor
  2018 - 2019
• Madha Engineering College Assistant Professor
  2012 - 2013
• Ranipettai Engineering College Assistant Professor
  2011 - 2012
• DMI College of Engineering Assistant Professor
  2010 - 2011

Education

• St.Joseph's College of Engineering M.E
  2008 - 2010
• DMI College of Engineering B.Tech
  2004 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Security Analysis and Robustness Assessment of Agricultural Deep Vision Software Against Targeted Adversarial Evasion Attacks in Crop-Weed Classification
  Journal of Internet Services and Information Security 2026 DOI: 10.58346/JISIS.2026.I1.049
  +Save
• HierbaNetV1: a novel feature extraction framework for deep learning-based weed identification
  PeerJ Computer Science 2024 DOI: 10.7717/peerj-cs.2518
  +Save
• SorghumWeedDataset_Classification and SorghumWeedDataset_Segmentation datasets for classification, detection, and segmentation in deep learning
  J Justina Michael, M. Thenmozhi
  Data in Brief 2024 DOI: 10.1016/j.dib.2023.109935
  +Save
• Analyzing the Effectiveness of Image Augmentation for Soybean Crop and Broadleaf Weed Classification
  J Justina Michael, M. Thenmozhi
  2024 DOI: 10.1007/978-981-99-9521-9_27
  +Save
• Optimizing Agricultural Irrigation through Real-Time Data Prediction
  Proceedings of the 2nd IEEE International Conference on Networking and Communications 2024 Icnwc 2024 2024 DOI: 10.1109/ICNWC60771.2024.10537511
  +Save
• Evaluation of Deep Learning CNN Models with 24 Metrics Using Soybean Crop and Broad-Leaf Weed Classification
  J Justina Michael, M. Thenmozhi
  2023 DOI: 10.1007/978-981-99-5166-6_6
  +Save
• Outlier detection in maize field using Isolation Forest: A one-class classifier
  Proceedings of the 1st IEEE International Conference on Networking and Communications 2023, ICNWC 2023 2023 DOI: 10.1109/ICNWC57852.2023.10127404
  +Save
• Sorghumweeddataset_Classification and Sorghumweeddataset_Segmentation Datasets for Classification, Detection, and Segmentation in Deep Learning
  Ssrn 2023 DOI: 10.2139/ssrn.4593178
  +Save
• Survey on Weeding Tools, Equipment, AI-IoT Robots with Recent Advancements
  2023 International Conference on Integration of Computational Intelligent System Icicis 2023 2023 DOI: 10.1109/ICICIS56802.2023.10430238
  +Save
• Weed Identification and Removal: Deep Learning Techniques and Research Advancements
  4th International Conference on Inventive Research in Computing Applications, ICIRCA 2022 - Proceedings 2022 DOI: 10.1109/ICIRCA54612.2022.9985603
  +Save
• Effective in house voting and verification through block chain technology
  7th Indian Conference on Intelligent Systems ICIS’19 2019
  +Save
• Stock Market Prediction using LSTM
  9th National Conference on Communication and Information Engineering 2019
  +Save
• Interactive mobile cloud learning
  International Journal of Science and Innovative Engineering & Technology 2016
  +Save
• Designing a firewall policy generator for large scale networks
  National conference on Grid and Database Technologies (NCGDBT’10) 2010
  +Save