P. Kudva

发表

Stable Adaptive Schemes for System Identification and Control-Part I

Kumpati S. Narendra, Prabhakar Kudva, K. Narendra, 1974, IEEE Trans. Syst. Man Cybern..

An identification procedure for discrete multivariable systems

K. Narendra, P. Kudva, 1974 .

Synthesis of an adaptive observer using Lyapunov's direct method

K. Narendra, P. Kudva, 1973 .

Adaptive Control Using Lyapunov's Direct Method.

K. Narendra, P. Kudva, S. Tripathi, 1971 .

Fault Injection Verification of IBM POWER 6 Soft Error Resilience

Prabhakar Kudva, John Schumann, Pia N. Sanda, 2007 .

Stable Adaptive Schemes for System Identification and Control - Part II

Kumpati S. Narendra, Prabhakar Kudva, K. Narendra, 1974, IEEE Trans. Syst. Man Cybern..

Load-adaptive control of a single-link flexible manipulator

Prabhakar Kudva, Jackson C. S. Yang, Tzung-Cheng Yang, 1992, IEEE Trans. Syst. Man Cybern..

An adaptive control scheme for a flexible manipulator

J. C. Yang, P. Kudva, T. Yang, 1987 .

Attitude determination studies for the Earth Observation System AM1 (EOS-AM1) mission

P. Kudva, A. Throckmorton, 1996 .

Observers for linear systems with unknown inputs

P. Kudva, N. Viswanadham, A. Ramakrishna, 1980 .

Physical synthesis methodology for high performance microprocessors

Yiu-Hing Chan, P. Kudva, P. Kudva, 2003, Proceedings 2003. Design Automation Conference (IEEE Cat. No.03CH37451).

Perform ance Analysis and O ptim ization o f Asynchronous Circuits

P. Kudva, 1601 .

Measurements for Structural Logic

P. Kudva, W. Dougherty, A. Sullivan, 2003 .

Synthesis of hazard-free customized CMOS complex-gate networks under multiple-input changes

P. Kudva, H. Jacobson, G. Gopalakrishnan, 1996, 33rd Design Automation Conference Proceedings, 1996.

High-level asynchronous system design using the ACK framework

Ganesh Gopalakrishnan, Erik Brunvand, Prabhakar Kudva, 2000, Proceedings Sixth International Symposium on Advanced Research in Asynchronous Circuits and Systems (ASYNC 2000) (Cat. No. PR00586).

A technique for synthesizing distributed burst-mode circuits

P. Kudva, G. Gopalakrishnan, P. Kudva, 1996, 33rd Design Automation Conference Proceedings, 1996.

Understanding metrics in logic synthesis for routability enhancement

Prabhakar Kudva, Victor N. Kravets, P. Kudva, 2003, SLIP '03.

Optimal observers for the state regulation of linear continuous-time plants

P. Kudva, V. Gourishankar, 1977 .

Peephole Optimization of Asynchronous Networks Through Process Composition and Burst � mode Machine Generation

P. Kudva, G. Gopalakrishnan, G. Edu, 1993 .

Learning Without Forgetting: A New Framework for Network Cyber Security Threat Detection

P. Kudva, I. Elfadel, R. Karn, 2021, IEEE Access.

Combinatorial cell design for CMOS libraries

Leon Stok, Prabhakar Kudva, Ruchir Puri, 2000, Integr..

Cryptomining Detection in Container Clouds Using System Calls and Explainable Machine Learning

Ibrahim M. Elfadel, Rupesh Raj Karn, Prabhakar Kudva, 2021, IEEE Transactions on Parallel and Distributed Systems.

Performance analysis and optimization of asynchronous circuits

Ganesh Gopalakrishnan, Erik Brunvand, Venkatesh Akella, 1994, Proceedings 1994 IEEE International Conference on Computer Design: VLSI in Computers and Processors.

Power-Aware Microarchitecture: Design and Modeling Challenges for Next-Generation Microprocessors

Manish Gupta, David M. Brooks, Pradip Bose, 2000, IEEE Micro.

Exploring Serverless Computing for Neural Network Training

Dilma Da Silva, Jiang Hu, Prabhakar Kudva, 2018, 2018 IEEE 11th International Conference on Cloud Computing (CLOUD).

Dynamic Autoselection and Autotuning of Machine Learning Models for Cloud Network Analytics

Prabhakar Kudva, Rupesh Raj Karn, Ibrahim (Abe) M. Elfadel, 2019, IEEE Transactions on Parallel and Distributed Systems.

Detecting and discriminating between different types of bacteria with a low-cost smartphone based optical device and neural network models

Donna N. Dillenberger, Matthew H Tong, Venkat K. Balagurusamy, 2019, NanoScience + Engineering.

Criteria for Learning without Forgetting in Artificial Neural Networks

Prabhakar Kudva, Ibrahim Elfadel, Rupesh Karn, 2019, 2019 IEEE International Conference on Cognitive Computing (ICCC).

A Scalable Space-efficient In-database Interpretability Framework for Embedding-based Semantic SQL Queries

P. Kudva, R. Bordawekar, Apoorva Nitsure, 2023, ArXiv.

Reduced-order observers for multivariable systems with inaccessible disturbance inputs

V. Gourishankar, K. Ramar, P. Kudva, 1977 .

An identification procedure for discrete multivariable systems

K. Narendra, P. Kudva, 1974 .

Automated detection and verification of parity-protected memory elements

Prabhakar Kudva, Shiri Moran, Eli Arbel, 2014, 2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

Generation of Stressmarks for Early Stage Soft-Error Modeling

Pradip Bose, Prabhakar Kudva, Hans M. Jacobson, 2019, 2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks – Supplemental Volume (DSN-S).

Error Tolerance in Server Class Processors

Meeta Sharma Gupta, Pradip Bose, Jude A. Rivers, 2011, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Statistical Fault Injection

Pia Sanda, Prabhakar Kudva, John Schumann, 2008, 2008 IEEE International Conference on Dependable Systems and Networks With FTCS and DCC (DSN).

Phaser: Phased methodology for modeling the system-level effects of soft errors

Pradip Bose, Ethan H. Cannon, Jude A. Rivers, 2008, IBM J. Res. Dev..

Soft-error resilience of the IBM POWER6 processor

Prabhakar Kudva, Ronald N. Kalla, John Schumann, 2008, IBM J. Res. Dev..

Balancing new reliability challenges and system performance at the architecture level

Jude A. Rivers, Prabhakar Kudva, P. Kudva, 2013 .

Complexity − Effective Design Workshop on

R. I. Bahar, George Z. N. Cai, P. Kudva, 2005 .