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Publication search results
found 16 matches
- 2024
- Posham Bhargava Reddy, Chapram Sudhakar:
IOTD: intelligent offloading of tasks with deadlines in edge-fog-cloud computing environment using hybrid approach. Clust. Comput. 27(7): 9873-9885 (2024) - 2023
- Posham Bhargava Reddy, Chapram Sudhakar:
An osmotic approach-based dynamic deadline-aware task offloading in edge-fog-cloud computing environment. J. Supercomput. 79(18): 20938-20960 (2023) - Subhankar Chattoraj, Bhargava Reddy, Manoj Tadepalli, Preetham Putha:
Comparative Evaluation of Digital and Analog Chest Radiographs to Identify Tuberculosis using Deep Learning Model. CoRR abs/2307.14859 (2023) - 2022
- Shameer Keelaillam, Saragadam Siva Teja, Tadikonda Jayanth, Ramapuram Ajay Reddy, Kanumetta Bhargava Ramanujam, Lalit Kumar:
A Wideband Bandpass Filter using U-shaped slots on SIW with two Notches at 8 GHz and 10 GHz. SPCOM 2022: 1-4 - 2021
- Muni Raj Maurya, Najam U. S. Sahar Riyaz, M. Sai Bhargava Reddy, Huseyin Cagatay Yalcin, Hassen M. Ouakad, Issam M. Bahadur, Somaya Al-Máadeed, Kishor Kumar Sadasivuni:
A review of smart sensors coupled with Internet of Things and Artificial Intelligence approach for heart failure monitoring. Medical Biol. Eng. Comput. 59(11): 2185-2203 (2021) - 2020
- Arjun Suresh, Bhargava N. Reddy, Ch. Renu Madhavi:
Hardware Accelerators for Edge Enabled Machine Learning. TENCON 2020: 409-413 - 2019
- Bhargava K. Reddy, Dursun Delen, Rupesh Agrawal:
Predicting and explaining inflammation in Crohn's disease patients using predictive analytics methods and electronic medical record data. Health Informatics J. 25(4) (2019) - 2018
- Bhargava K. Reddy, Dursun Delen:
Predicting hospital readmission for lupus patients: An RNN-LSTM-based deep-learning methodology. Comput. Biol. Medicine 101: 199-209 (2018) - Preetham Putha, Manoj Tadepalli, Bhargava Reddy, Tarun Raj, Justy Antony Chiramal, Shalini Govil, Namita Sinha, Manjunath KS, Sundeep Reddivari, Pooja Rao, Prashant Warier:
Can Artificial Intelligence Reliably Report Chest X-Rays?: Radiologist Validation of an Algorithm trained on 1.2 Million X-Rays. CoRR abs/1807.07455 (2018) - 2017
- Bhargava Reddy, Ye-Hoon Kim, Sojung Yun, Chanwon Seo, Junik Jang:
Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks. CVPR Workshops 2017: 438-445 - 2016
- Jetendra Joshi, Abhinandan Bhargava, Urijit Kurulkar, Joshitha Reddy, Amrit Bagga, Abhinav Goel, Pranith Reddy:
RFID sensor network based pervasive computing. ICUFN 2016: 277-282 - Bhargava Reddy, Ye-Hoon Kim, Sojung Yun, Junik Jang, Soonhyuk Hong:
End to End Deep Learning for Single Step Real-Time Facial Expression Recognition. VAAM/FFER@ICPR 2016: 88-97 - 2012
- Tan H. Nguyen, Rohith K. Reddy, Michael J. Walsh, Matthew Schulmerich, Gabriel Popescu, Minh N. Do, Rohit Bhargava:
Denoising and deblurring of Fourier transform infrared spectroscopic imaging data. Computational Imaging 2012: 82960M - Rohith K. Reddy, David Mayerich, Michael J. Walsh, Matthew Schulmerich, Paul Scott Carney, Rohit Bhargava:
Optimizing the design of FT-IR spectroscopic imaging instruments to obtain increased spatial resolution of chemical species. ISBI 2012: 354-357 - 2011
- Rohith K. Reddy, Brynmor J. Davis, Paul Scott Carney, Rohit Bhargava:
Modeling fourier transform infrared spectroscopic imaging of Prostate and Breast Cancer tissue specimens. ISBI 2011: 738-741 - 2007
- Xavier Llorà, Rohith K. Reddy, Brian Matesic, Rohit Bhargava:
Towards better than human capability in diagnosing prostate cancer using infrared spectroscopic imaging. GECCO 2007: 2098-2105
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