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- Poornima Chozhiyath Raman
aka: Poornima Raman - Poornima Ramesh
- Poornima M. R.
- Poornima Raikwar
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Publication search results
found 113 matches
- 2025
- Gururaj S. Kori, Mahabaleshwar S. Kakkasageri, Poornima M. Chanal, Rajani S. Pujar, Vinayak A. Telsang:
Wireless sensor networks and machine learning centric resource management schemes: A survey. Ad Hoc Networks 167: 103698 (2025) - 2024
- P. Sreedevi, Ajmeera Kiran, T. Santhi Sri, E. Poornima, Sanjeeva Polepaka, Y. Supriya Reddy:
Da-resbigru -brain tumor classification using Dual attention residual bi directional gated recurrent unit using MRI images. Biomed. Signal Process. Control. 88(Part A): 105596 (2024) - Poornima Nookala, Kyle Chard, Ioan Raicu:
X-OpenMP - eXtreme fine-grained tasking using lock-less work stealing. Future Gener. Comput. Syst. 159: 444-458 (2024) - Ganesh A, K. Sree Divya, Chinthakunta Sasikala, Poornima E, Srinivasa Rao Nidamanuru, Sujith A. V. L. N, Gajula Ramesh:
Optimizing Task Scheduling: Exploring Advanced Machine Learning in Dew-Powered Cloud Environments. Scalable Comput. Pract. Exp. 25(5): 3701-3714 (2024) - I. Gethzi Ahila Poornima, G. Sakthi Priya, C. A. Yogaraja, R. Venkatesh, P. Shalini:
Hand and Sign Recognition of Alphabets Using YOLOv5. SN Comput. Sci. 5(3): 311 (2024) - I. Gethzi Ahila Poornima, C. A. Yogaraja, R. Venkatesh, M. Swarna Sudha, B. Vijayalakshmi:
Pseudo Random Number Generator Based on Cellular Automata with Self Organized Criticality. SN Comput. Sci. 5(5): 454 (2024) - Poornima Shetty, Shashidhar Kini, Roshan Fernandes:
A Comprehensive Analysis of 'Machine Learning and Deep Learning' Methods for Sentiment Analysis in Twitter. SN Comput. Sci. 5(7): 915 (2024) - R. Venkatesh, Shenbagarajan Anantharajan, Shenbagalakshmi Gunasekaran, C. A. Yogaraja, I. Gethzi Ahila Poornima:
Prediction of Alzheimer's Disease Using Adaptive Fine-Tuned Deep Resnet-50 with Attention Mechanism. SN Comput. Sci. 5(4): 392 (2024) - Star Dawood Mirkhan, Skala Kamaran Omer, Hussein Mohammed Ali, Mahmood Yashar Hamza, Tarik Ahmed Rashid, Poornima Nedunchezhian:
Effective Delegation and Leadership in Software Management. CoRR abs/2405.01612 (2024) - 2023
- Poornima Ramesh:
GANs schön kompliziert: Applications of Generative Adversarial Networks. University of Tübingen, Germany, 2023 - Ayush Dahiya, Poornima Mittal, Rajesh Rohilla:
Variation-Tolerant Sense Amplifier Using Decoupling Transistors for Enhanced SRAM Read Performance. Circuits Syst. Signal Process. 42(10): 5799-5810 (2023) - Poornima M. R., Vimala H. S., Shreyas J.:
Holistic survey on energy aware routing techniques for IoT applications. J. Netw. Comput. Appl. 213: 103584 (2023) - K. Pushpa Rani, P. Sreedevi, E. Poornima, T. Santhi Sri:
FTOR-Mod PSO: A fault tolerance and an optimal relay node selection algorithm for wireless sensor networks using modified PSO. Knowl. Based Syst. 272: 110583 (2023) - J. Aravinth, S. Veni, Dheepika R, Venkat Gopinath Polamuri, A. R. Poornima, K. Sai Sandeep:
Optimal hyperspectral band selection using robust multi-verse optimization algorithm. Multim. Tools Appl. 82(10): 14663-14687 (2023) - Ayush Dahiya, Poornima Mittal, Rajesh Rohilla:
Modified Decoupled Sense Amplifier with Improved Sensing Speed for Low-Voltage Differential SRAM. ACM Trans. Design Autom. Electr. Syst. 28(6): 94:1-94:15 (2023) - Bhawna Rawat, Poornima Mittal:
A Switching NMOS Based Single Ended Sense Amplifier for High Density SRAM Applications. ACM Trans. Design Autom. Electr. Syst. 28(3): 37:1-37:14 (2023) - Bhawna Rawat, Poornima Mittal:
A Reconfigurable 7T SRAM Bit Cell for High Speed, Power Saving and Low Voltage Application. ACM Trans. Design Autom. Electr. Syst. 28(6): 96:1-96:14 (2023) - Poornima M. R., Vimala H. S., Shreyas J.:
Mobility-based Optimal Relay Node Selection for IoT-oriented SDWSN. ACM Southeast Regional Conference 2023: 201-205 - Poornima J. D, Raghu Krishnapuram, Mukunda Bharatheesha, Bharadwaj Amrutur, Suresh Sundaram:
Robust and Scalable Indoor Robot Localization Based on Fusion of Infrastructure Camera Feeds and On-Board Sensors. AIR 2023: 41:1-41:7 - B. V. Poornima, S. Srinath, S. Rashmi, R. Rakshitha:
An Integrated Approach: Combining GrabCut and Contour-Matching for Hand Gesture Segmentation in Indian Sign Language. CVIP (1) 2023: 369-381 - R. Rakshitha, S. Srinath, N. Vinay Kumar, S. Rashmi, B. V. Poornima:
Automated Detection of Cracks in Asphalt Pavement Images Using Texture Descriptors and Machine Learning Classifier. CVIP (2) 2023: 13-24 - Galiveeti Poornima, Y. Sudha, B. C. Manujakshi, R. Pallavi, Deepak S. Sakkari, P. Karthikeyan:
Object Localization in Emoji-Based Social Networks Using Deep Learning Techniques. FICTA (2) 2023: 539-552 - Satwika Prathapani, Poornimai Mekala, Ch. Venkata Rami Reddy, Suneetha Muvva:
Surface Crack Detection Using Deep Learning Models. ICCCNT 2023: 1-4 - Basile Confavreux, Poornima Ramesh, Pedro J. Gonçalves, Jakob H. Macke, Tim P. Vogels:
Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference. NeurIPS 2023 - Shivam Singh, Sajana S, Poornima, Gajje Sreelekha, Chandranath Adak, Rajendra P. Shukla, Vinayak Kamble:
Metal Oxide-based Gas Sensor Array for the VOCs Analysis in Complex Mixtures using Machine Learning. CoRR abs/2307.06556 (2023) - 2022
- Bhawna Rawat, Poornima Mittal:
A Reliable and Temperature Variation Tolerant 7T SRAM Cell with Single Bitline Configuration for Low Voltage Application. Circuits Syst. Signal Process. 41(5): 2779-2801 (2022) - R. Ramyadevi, V. Poornima:
Utilisation of audible steganography to organise and analyse the text within WAV files. Int. J. Intell. Eng. Informatics 10(5): 397-410 (2022) - R. Saravanakumar, Pradeep Bedi, Oruganti Hemakesavulu, N. Thangadurai, E. Poornima, Lakshmi Thangavelu, D. Jayadevappa:
IoB: Sensors for Wearable Monitoring and Enhancing Health Care Systems. IEEE Instrum. Meas. Mag. 25(3): 63-70 (2022) - Rajlaxmi Patil, Rajshekhar Biradar, Vinayakumar Ravi, Poornima Biradar, Uttam Ghosh:
Network traffic anomaly detection using PCA and BiGAN. Internet Technol. Lett. 5(1) (2022) - R. Poornima, Mohanraj Elangovan, G. Nagarajan:
Network attack classification using LSTM with XGBoost feature selection. J. Intell. Fuzzy Syst. 43(1): 971-984 (2022)
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