Steganography techniques for ECG signals : A survey. - J. Yoga Priya; R. Suganya (ICIIS, 2016)

An Erlang Factor Integrated Channel Allocation Method for Boosting Quality of Services in mobile ad hoc networks. - R. Suganya; L. S. Jayashree (Comput. Electr. Eng., 2018)

Fuzzy Rough Set Inspired Rate Adaptation and resource allocation using Hidden Markov Model (FRSIRA-HMM) in mobile ad hoc networks. - R. Suganya; L. S. Jayashree (Clust. Comput., 2019)

AIM 2020: Scene Relighting and Illumination Estimation Challenge. - Majed El Helou; Ruofan Zhou; Sabine Süsstrunk; Radu Timofte; Mahmoud Afifi; Michael S. Brown; Kele Xu; Hengxing Cai; Yuzhong Liu; Li-Wen Wang; Zhi-Song Liu; Chu-Tak Li; et al. (ECCV Workshops (3), 2020)

Effect of COVID-19 Quarantine Period on a Married Woman With Special Reference to a TIER-II Selected City in India. - Ramanujam Elangovan; R. Sundareswaran; R. Suganya; Nashwa Ahmad Kamal (Int. J. Sociotechnology Knowl. Dev., 2021)

Gradient flow-based deep residual networks for enhancing visibility of scenery images degraded by foggy weather conditions. - R. Suganya; R. Kanagavalli (J. Ambient Intell. Humaniz. Comput., 2021)

RSNet: Rail semantic segmentation network for extracting aerial railroad images. - R. S. Rampriya; Sabarinathan; R. Suganya (J. Intell. Fuzzy Syst., 2021)

A Comparative Assessment of Deep Neural Network Models for Detecting Obstacles in the Real Time Aerial Railway Track Images. - R. S. Rampriya; R. Suganya; Sabari Nathan; P. Shunmuga Perumal (Appl. Artif. Intell., 2022)

Sclera Segmentation and Joint Recognition Benchmarking Competition: SSRBC 2023. - Abhijit Das 001; Saurabh Atreya; Aritra Mukherjee; Matej Vitek; Haiqing Li; Caiyong Wang; Guangzhe Zhao; Fadi Boutros; Patrick Siebke; Jan Niklas Kolf; Naser Damer; Sun Ye; et al. (IJCB, 2023)

Enhancing the job scheduling procedure to develop an efficient cloud environment using near optimal clustering algorithm. - R. Suganya; Niju P. Joseph; R. Rajadevi 001; S. Ramamoorthy (Int. J. Cloud Comput., 2023)

Interpretable Deep Learning For Automated Retinal Damage Detection in Optical Coherence Tomography. - R. Suganya; Abhiram Sharma; R. Srivats; Kalyanasundaram V; Selvanayaki Kolandapalayam Shanmugam (IEEE Big Data, 2024)

Cohesive Heartbeat Monitoring for Geolocation and Log Correlation in Campus Networks. - R. Suganya; Shazil; Hiran V. Nath (ICCCNT, 2024)

Network Efficient Hierarchical Authentication Algorithm for Secure Communication in IoT and IoE. - Abhiram Sharma; R. Suganya; P. B. Krishna; Rudra Raj; Raja Kumar Murugesan (IEEE Access, 2024)

Lightweight railroad semantic segmentation network and distance estimation for railroad Unmanned aerial vehicle images. - R. S. Rampriya; Sabari Nathan; R. Suganya; Sahaya Beni Prathiba; P. Shunmuga Perumal; Wei Wang (Eng. Appl. Artif. Intell., 2024)

Personalized Solutions for Foot Health: Machine Learning-Based Foot Condition Detection, Classification, and Recommendation of Customized Footwear. - Sonaa Rajagopal; Muralikrishnan Mani; Shyam Venkatraman; R. Suganya (IEEE Access, 2025)

Developed a Machine Learning and Deep Learning Model for 5G MIMO Data Based Beam Selection and Intelligent Network Analytics. - P. Ashok; R. Suganya; P. Lekha; Poornima Pandian; M. Subashini; M. Nithya (SN Comput. Sci., 2025)