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Publication search results
found 241 matches
- 2024
- G. Sakthi Priya, N. Padmapriya, N. Venkateswaran:
TSDAnet: texture strip dual attention network for intraclass texture classification. Signal Image Video Process. 18(11): 7597-7610 (2024) - Tevfik Kosar, Krishnan Venkateswaran, Shangguang Wang, Seetharami Seelam, Santonu Sarkar, Xuanzhe Liu:
2024 IEEE International Conference on Cloud Computing, Message from the Chairs. CLOUD 2024: xvii - Sunjeev Venkateswaran, Costas Kravaris:
Disturbance Decoupled Functional Observers for Fault Estimation in Nonlinear Systems. ACC 2024: 1518-1524 - Sanket Mishra, Jayendran Venkateswaran:
Digital Twinning for Resilient Supply Chain under Cash-Flow Constraint. ICSA-C 2024: 335-341 - Shyam Krishnan Venkateswaran, Ching-Lun Tai, Roshni Garnayak, Yoav Ben-Yehezkel, Yaron Alpert, Raghupathy Sivakumar:
IEEE 802.11ax Target Wake Time: Design and Performance Analysis in ns-3. WNS3 2024: 10-18 - Rong N. Chang, Carl K. Chang, Jingwei Yang, Nimanthi L. Atukorala, Zhi Jin, Michael Sheng, Jing Fan, Kenneth Fletcher, Qiang He, Tevfik Kosar, Santonu Sarkar, Sreekrishnan Venkateswaran, Shangguang Wang, Xuanzhe Liu, Seetharami Seelam, Chandra Narayanaswami, Ziliang Zong:
17th IEEE International Conference on Cloud Computing, CLOUD 2024, Shenzhen, China, July 7-13, 2024. IEEE 2024, ISBN 979-8-3503-6853-6 [contents] - Aparajithan Venkateswaran, Anirudh Sankar, Arun G. Chandrasekhar, Tyler H. McCormick:
Robustly estimating heterogeneity in factorial data using Rashomon Partitions. CoRR abs/2404.02141 (2024) - Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachin Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi:
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. CoRR abs/2407.00121 (2024) - 2023
- Sunjeev Venkateswaran, Costas Kravaris:
Design of linear unknown input observers for sensor fault estimation in nonlinear systems. Autom. 155: 111152 (2023) - Thomas P. Rajan, K. Sundareswaran, P. R. Venkateswaran:
Effectiveness of frequency domain parameters in decision tree-based classification of GMAW defects. Int. J. Manuf. Res. 18(3): 251-265 (2023) - R. Madura Meenakshi, Padmapriya Nammalwar, N. Venkateswaran, Shany Shperling, Ari Leshno:
Classification of Retinal Vascular Diseases Using Ensemble Decision Tree in Thermal Images. Int. J. Pattern Recognit. Artif. Intell. 37(12): 2357010:1-2357010:24 (2023) - Benjamin Lester, Ali Shourideh, Venky Venkateswaran, Ariel Zetlin-Jones:
Market-making with search and information frictions. J. Econ. Theory 212: 105714 (2023) - Lauren M. Sanders, Ryan T. Scott, Jason H. Yang, Amina Ann Qutub, Héctor García Martín, Daniel C. Berrios, Jaden J. A. Hastings, Jon Rask, Graham Mackintosh, Adrienne L. Hoarfrost, Stuart J. Chalk, John Kalantari, Kia Khezeli, Erik L. Antonsen, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Guillermo M. Delgado-Aparicio, Benjamin S. Glicksberg, Casey S. Greene, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Christopher E. Mason, Mona Matar, George I. Mias, Jack Miller, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Seung-Min Park, Patricia Parsons-Wingerter, R. K. Prabhu, Robert J. Reynolds, Amanda Saravia-Butler, Suchi Saria, Aenor Sawyer, Nitin Kumar Singh, Michael Snyder, Frank Soboczenski, Karthik Soman, Corey A. Theriot, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Marinka Zitnik, Sylvain V. Costes:
Biological research and self-driving labs in deep space supported by artificial intelligence. Nat. Mac. Intell. 5(3): 208-219 (2023) - Ryan T. Scott, Lauren M. Sanders, Erik L. Antonsen, Jaden J. A. Hastings, Seung-Min Park, Graham Mackintosh, Robert J. Reynolds, Adrienne L. Hoarfrost, Aenor Sawyer, Casey S. Greene, Benjamin S. Glicksberg, Corey A. Theriot, Daniel C. Berrios, Jack Miller, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Stuart J. Chalk, Guillermo M. Delgado-Aparicio, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, John Kalantari, Kia Khezeli, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Héctor García Martín, Christopher E. Mason, Mona Matar, George I. Mias, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Patricia Parsons-Wingerter, R. K. Prabhu, Amina Ann Qutub, Jon Rask, Amanda Saravia-Butler, Suchi Saria, Nitin Kumar Singh, Michael Snyder, Frank Soboczenski, Karthik Soman, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Jason H. Yang, Marinka Zitnik, Sylvain V. Costes:
Biomonitoring and precision health in deep space supported by artificial intelligence. Nat. Mac. Intell. 5(3): 196-207 (2023) - Swaminath Venkateswaran, Damien Chablat:
Mapping the Tilt and Torsion Angles for a 3-SPS-U Parallel Mechanism. Robotics 12(2): 50 (2023) - Sombuddha Bhattacharyya, Venkateswaran P. Krishnan, Suman Kumar Sahoo:
Momentum Ray Transforms and a Partial Data Inverse Problem for a Polyharmonic Operator. SIAM J. Math. Anal. 55(4): 4000-4038 (2023) - Tejas Venkateswaran, Sheikh Rabiul Islam, Md Golam Moula Mehedi Hasan, Mohiuddin Ahmed:
Aiming to Minimize Alcohol-Impaired Road Fatalities: Utilizing Fairness-Aware and Domain Knowledge-Infused Artificial Intelligence. IEEE Big Data 2023: 4205-4212 - Snehkumar Shahani, Jibi Abraham, R. Venkateswaran:
Techniques for Privacy-Preserving Data Aggregation in an Untrusted Distributed Environment. COMAD/CODS 2023: 286-287 - Ronald Böck, Siddarth Venkateswaran, Thi Nguyen, Dominik Durner:
Textual Descriptions Used for Classification of Oaked vs Unoaked Wines. GI-Jahrestagung 2023: 1591-1598 - Sk Babul Akhtar, Supriya Dhabal, Palaniandavar Venkateswaran:
Kalman Filter based Optimized Object Tracker with Auto-tuning of Process Noise Covariance Parameter and Performance Verification. ICCCNT 2023: 1-6 - Neelesh Biswas, Supriya Dhabal, Palaniandavar Venkateswaran:
Analysis of Area Efficient Parallel FIR Filters using FPGA. ICCCNT 2023: 1-5 - Hrishin Roy, Saikat Chandra Bakshi, Ankita Pramanik, P. Venkateswaran:
Convolutional Neural Network based Pneumonia Detection from Chest X-Rays. ICCCNT 2023: 1-7 - Varun Vilas Shinde, Sruthisri Venkateswaran, Srihari Padmanabhan, Rizwana Shaikh:
OCR based Tapal (Postal Service) System. ICCCNT 2023: 1-5 - Dhanasekar V, Vinodhini Gunasekaran, Anusha Challa, Bama Srinivasan, J. Dhurga Devi, Selvi Ravindran, Ranjani Parthasarathi, P. V. Ramakrishna, Gopika Geetha Kumar, Venkateswaran Padmanabhan, Guha Lakshmanan, Lakshmanan Balasubramanian:
Analysis of Machine Learning Techniques for Time Domain Waveform Prediction in Analog and Mixed Signal Integrated Circuit Verification. ISQED 2023: 1-9 - Shyam Krishnan Venkateswaran, Ching-Lun Tai, Raghupathy Sivakumar:
Poster: Accordion: Toward a Limited Contention Protocol for Wi-Fi 6 Scheduling. MobiHoc 2023: 302-303 - Ayaboe K. Edoh, Timothy P. Gallagher, Venkateswaran Sankaran:
Small-scale inhibiting characteristics of residual and solution filtering. CoRR abs/2304.03194 (2023) - Sunjeev Venkateswaran, Costas Kravaris:
Disturbance decoupled functional observers for fault estimation in nonlinear systems. CoRR abs/2307.09359 (2023) - Ayan Biswas, Supriya Dhabal, Palaniandavar Venkateswaran:
Exploring Music Genre Classification: Algorithm Analysis and Deployment Architecture. CoRR abs/2309.04861 (2023) - Ayan Biswas, Supriya Dhabal, Palaniandavar Venkateswaran:
Design of a Low-Power High-Gain Bio-Medical Operational Amplifier in 65nm Technology using gm/ID Methodology. CoRR abs/2309.04863 (2023) - Tejas Venkateswaran, Sheikh Rabiul Islam, Md Golam Moula Mehedi Hasan, Mohiuddin Ahmed:
Aiming to Minimize Alcohol-Impaired Road Fatalities: Utilizing Fairness-Aware and Domain Knowledge-Infused Artificial Intelligence. CoRR abs/2311.16180 (2023)
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