Year : 2024
Sign Language Video to Text Conversion viaOptimised LSTM with Improved Motion Estimation
Cite this Research Publication : S, Subburaj, Murugavalli S, and Muthusenthil B. “Sign Language Video to Text Conversion viaOptimised LSTM with Improved Motion Estimation.” Journal of Experimental & Theoretical ArtificialIntelligence 37 (1): 163–82. doi:10.1080/0952813X.2024.2380991
Publisher : Journal of Experimental & Theoretical ArtificialIntelligence
Year : 2023
Road traffic sensitive routing forefficient waste collection by leveraging varying traffic patterns
Cite this Research Publication : S. Subburaj, S. Suresh, S. Balaji, Vikas Rao Naidu, M. Saranya, Road traffic sensitive routing forefficient waste collection by leveraging varying traffic patterns, Measurement: Sensors,Volume25,2023,100607
Publisher : Measurement: Sensors
Year : 2023
A broad study of machine learningand deep learning techniques for diabetic retinopathy based on feature extraction, detection and classification
Cite this Research Publication : Krishnan Sangeetha, K. Valarmathi, T. Kalaichelvi, S. Subburaj, A broad study of machine learningand deep learning techniques for diabetic retinopathy based on feature extraction, detection and classification, Measurement: Sensors, Volume 30,2023,100951
Publisher : Measurement: Sensors
Year : 2023
EI-RNN-based Text Generation for the Staticand Dynamic Isolated Sign Language Videos
Cite this Research Publication : Subburaj, S., Murugavalli, S., and Muthusenthil, B. ‘EI-RNN-based Text Generation for the Staticand Dynamic Isolated Sign Language Videos’. 1 Jan. 2023 : 1 – 15. DOI: 10.3233/JIFS-233610 (SCIImpact Factor:2)
Year : 2022
Survey on sign language recognition in context of vision-based anddeep learning
Cite this Research Publication : S. Subburaj, S. Murugavalli, Survey on sign language recognition in context of vision-based anddeep learning, Measurement: Sensors,Volume 23,2022, https://doi.org/10.1016/j.measen.2022
Publisher : Measurement: Sensors