International Journals:
- Mahesh, R.N.U., Nelleri, A. Deep convolutional neural network for binary regression of three-dimensional objects using information retrieved from digital Fresnel holograms. Appl. Phys. B 128, 157 (2022). https://doi.org/10.1007/s00340-022-07877-w. SCI-2.17
- Mahesh R N U, Nelleri A. Multi-Class Classification and Multi-Output Regression of Three-Dimensional Objects Using Artificial Intelligence Applied to Digital Holographic Information. Sensors. 2023; 23(3):1095. https://doi.org/10.3390/s23031095. SCI-3.84
- B. Lokesh Reddy, R N Uma Mahesh & Anith Nelleri (2022) Deep convolutional neural network for three-dimensional objects classification using off-axis digital Fresnel holography, Journal of Modern Optics, 69:13, 705-717, DOI: 10.1080/09500340.2022.2081371. SCI – 1.46
- Uma Mahesh R N and Anith Nelleri (2022), “Three-dimensional (3-D) objects classification and regression using deep learning and machine learning algorithms applied to complex object wave information retrieved from digital holograms”, Asian Journal of Physics, 31 (11-12), pp. 1085-1094. (Special Issue – non-Scopus).
- Uma Mahesh.R.N, “Design and Novel Approach for Ternary Decoder and Encoder Circuits” International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE), Volume-5 Issue-6, PP-12221-12224, ISSN-2320-9801.
- Uma Mahesh.R.N, “Design And Novel Approach Towards Adders And Subtractors Using Quaternary Logic Circuits” IJIRCCE, Volume-5 Issue-1, PP-84-85, ISSN: 2320-9801.
- Uma Mahesh.R.N, “Design of Triple Switching Clamping Sequence for BCPWM Technique using Space Vector Approach”, IJIRCCE, Volume-4 Issue-5, PP-9172-9176, ISSN-2320-9801.
- Uma Mahesh.R.N, “An Optimized Solar Traffic light control and alert system using Wireless Sensor Networks”, International Journal for Research in Applied Science and Engineering Technology (IJRASET), Volume-4 Issue-2 PP-172-175, ISSN: 2321-9653.
International Conferences:
- Uma Mahesh, R.N., Lokesh Reddy, B., Nelleri, A. (2022). Deep Learning-Based Multi-class 3D Objects Classification Using Digital Holographic Complex Images. In: Sivasubramanian, A., Shastry, P.N., Hong, P.C. (eds) Futuristic Communication and Network Technologies. VICFCNT 2020. Lecture Notes in Electrical Engineering, vol 792. Springer, Singapore. https://doi.org/10.1007/978-981-16-4625-6_43
- Uma Mahesh R N, Anith Nelleri, “Multi-Class objects classification by means of digital holograms classification using Visual Geometry Group (VGG) Network”, Frontiers in Optics and Photonics (FOP-21) OSI Symposium, Indian Institute of Technology (IIT) Delhi, Delhi.
- Mahesh, R.N.U., Nelleri, A. (2023). Machine Learning-Based Binary Regression Task of 3D Objects in Digital Holography. In: Subhashini, N., Ezra, M.A.G., Liaw, SK. (eds) Futuristic Communication and Network Technologies. VICFCNT 2021. Lecture Notes in Electrical Engineering, vol 995. Springer, Singapore. https://doi.org/10.1007/978-981-19-9748-8_34
- Uma Mahesh R N, Arya Jayan, and Anith Nelleri “A Deep Learning Approach For Volume Image Segmentation in Digital Holography”, School of Electronics Engineering, Vellore Institute of Technology, Chennai, Tamilnadu, India – 600127 (Presented in International Conference on Optics, Photonics, and Quantum Information, OPTIQ-2023, CUSAT Ernakulam).
- R. N. U. Mahesh, “An Analytical Approach for Three-Valued Multiplexer and Demultiplexers,” 2018 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS), Chennai, India, 2018, pp. 82-84, doi: 10.1109/ICPECTS.2018.8521600.
- R. N. Uma Mahesh and J. Sudeep, “Design and novel approach for ternary and quaternary. logic circuits,” 2017 2nd International Conference for Convergence in Technology (I2CT), Mumbai, India, 2017, pp. 1224-1227, doi: 10.1109/I2CT.2017.8226322.
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