Lava Bhargava

According to our database, Lava Bhargava authored at least 32 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Deep Learning Approach for the Detection of Intrusions with an Ensemble Feature Selection Method.

Uday Chandra Akuthota, Lava Bhargava

SN Comput. Sci., October, 2024

A Lightweight Low-Power Model for the Detection of Plant Leaf Diseases.

Uday Chandra Akuthota, Abhishek, Lava Bhargava

SN Comput. Sci., April, 2024

2023

Designing of Energy-Efficient Approximate Multiplier Circuit for Processing Unit of IoT Devices.

Pooja Choudhary, Lava Bhargava, Ashok Kumar Suhag

SN Comput. Sci., September, 2023

Enhanced Multicore Performance Using Novel Thread-Aware Cache Coherence and Prefetch-Control Mechanism.

Soma Niloy Ghosh, Vineet Sahula, Lava Bhargava

IEEE Embed. Syst. Lett., March, 2023

LUT-based Arithmetic Circuit Approximation with Formal Guarantee on Worst Case Relative Error.

Pooja Choudhary, Lava Bhargava, Masahiro Fujita, Virendra Singh

Proceedings of the 24th IEEE Latin American Test Symposium, 2023

Optimization of Imprecise Multiplier Circuits by using Binary Decision Diagram.

Pooja Choudhary, Lava Bhargava, G. U. Vinod, Ashok Kumar Suhag, Masahiro Fujita, Virendra Singh

Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2023

Network Intrusion Classification on the UNSW-NB15 Dataset Using XGBoost Feature Selection Technique.

Uday Chandra Akuthota, Lava Bhargava

Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2023

Reinforcement Learning Based Prefetch-Control Mechanism.

Soma Niloy Ghosh, Vineet Sahula, Lava Bhargava

Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2023

2022

Pre-Silicon NBTI Delay-Aware Modeling of Network-on-Chip Router Microarchitecture.

Ashish Sharma, Manoj Singh Gaur, Lava Bhargava, Vijay Laxmi, Manoj Gupta

Microprocess. Microsystems, June, 2022

Hybrid learning scenario path selection and abstraction framework for smart verification of complex SoCs.

Gaurav Sharma, Lava Bhargava, Vinod Kumar

J. Supercomput., 2022

Variability aware Golden Reference Free methodology for Hardware Trojan Detection Using Robust Delay Analysis.

Ramakrishna Vaikuntapu, Vineet Sahula, Lava Bhargava

CoRR, 2022

Deep neural network learning for power limited heterogeneous system with workload classification.

Manjari Gupta, Lava Bhargava, S. Indu

Computing, 2022

Approximating Arithmetic Circuits for IoT Devices Data Processing.

Pooja Choudhary, Lava Bhargava, Masahiro Fujita, Virendra Singh, Ashok Kumar Suhag

Comput. Ind. Eng., 2022

Synthesis of LUT Based Approximating Adder Circuits with Formal Error Guarantees.

Pooja Choudhary, Lava Bhargava, Masahiro Fujita, Virendra Singh

Proceedings of the VLSI Design and Test - 26th International Symposium, 2022

Blood Pressure Prediction Based on Single Photoplethysmography.

Uday Chandra Akuthota, Md Muddasirul Hassan, Lava Bhargava

Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2022

2021

Mapping techniques in multicore processors: current and future trends.

Manjari Gupta, Lava Bhargava, S. Indu

J. Supercomput., 2021

Real-time automated register abstraction active power-aware electronic system level verification framework.

Gaurav Sharma, Lava Bhargava, Vinod Kumar

Integr., 2021

SRCP: sharing and reuse-aware replacement policy for the partitioned cache in multicore systems.

Soma Niloy Ghosh, Lava Bhargava, Vineet Sahula

Des. Autom. Embed. Syst., 2021

Dynamic workload-aware DVFS for multicore systems using machine learning.

Manjari Gupta, Lava Bhargava, S. Indu

Computing, 2021

Reuse-Aware Cache Partitioning Framework for Data-Sharing Multicore Systems.

Soma Niloy Ghosh, Vineet Sahula, Lava Bhargava

Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2021

2020

Automated Bug Resistant Test Intent with Register Header Database for Optimized Verification.

Gaurav Sharma, Lava Bhargava, Vinod Kumar

J. Electron. Test., 2020

2019

Comparative Analysis of Control-transfer Instructions On WCET of Real-Time Systems.

Soma Niloy Ghosh, Lava Bhargava, Vineet Sahula

Proceedings of the 9th International Symposium on Embedded Computing and System Design, 2019

Leakage Reduction and gm Enhancement in GaN HEMT for Enhanced Sensitivity in Fibrinogen Detection from Human Plasma.

Arathy Varghese, Chinnamuthan Periasamy, Lava Bhargava, Lintu Rajan

Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

2018

Novel Variability Aware Path Selection for Self-Referencing Based Hardware Trojan Detection.

Ramakrishna Vaikuntapu, Lava Bhargava, Vineet Sahula

Proceedings of the 31st International Conference on VLSI Design and 17th International Conference on Embedded Systems, 2018

3D LBDR: Logic-Based Distributed Routing for 3D NoC.

Ashish Sharma, Manish Tailor, Lava Bhargava, Manoj Singh Gaur

Proceedings of the VLSI Design and Test - 22nd International Symposium, 2018

Efficient and Failure Aware ECC for STT-MRAM Cache Memory.

Keerthi Sagar Kokkiligadda, Yogendra Gupta, Lava Bhargava

Proceedings of the VLSI Design and Test - 22nd International Symposium, 2018

Automated Coverage Register Access Technology on UVM Framework for Advanced Verification.

Gaurav Sharma, Lava Bhargava, Vinod Kumar

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2017

A Power, Thermal and Reliability-Aware Network-on-Chip.

Ashish Sharma, Yogendra Gupta, Sonal Yadav, Lava Bhargava, Manoj Singh Gaur, Vijay Laxmi

Proceedings of the IEEE International Symposium on Nanoelectronic and Information Systems, 2017

2016

Golden IC free methodology for hardware Trojan detection using symmetric path delays.

Ramakrishna Vaikuntapu, Lava Bhargava, Vineet Sahula

Proceedings of the 20th International Symposium on VLSI Design and Test, 2016

Reducing FIFO buffer power using architectural alternatives at RTL.

Ashish Sharma, Ruby Ansar, Manoj Singh Gaur, Lava Bhargava, Vijay Laxmi

Proceedings of the 20th International Symposium on VLSI Design and Test, 2016

Reinforcement Learning based Routing for Cognitive Network on Chip.

Yogendra Gupta, Lava Bhargava

ICTCS, 2016

2015

A framework for thermal aware reliability estimation in 2D NoC.

Ashish Sharma, Prachi Upadhyay, Ruby Ansar, Vijay Laxmi, Lava Bhargava, Manoj Singh Gaur, Mark Zwolinski

Proceedings of the 19th International Symposium on VLSI Design and Test, 2015