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ORCIDLava Bhargava
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2020 – today
- 2024
[j13]Uday Chandra Akuthota
, Abhishek, Lava Bhargava:
A Lightweight Low-Power Model for the Detection of Plant Leaf Diseases. SN Comput. Sci. 5(4): 327 (2024)- [j12]Uday Chandra Akuthota, Lava Bhargava:
A Deep Learning Approach for the Detection of Intrusions with an Ensemble Feature Selection Method. SN Comput. Sci. 5(7): 916 (2024) - 2023
- [j11]Soma Niloy Ghosh, Vineet Sahula, Lava Bhargava:
Enhanced Multicore Performance Using Novel Thread-Aware Cache Coherence and Prefetch-Control Mechanism. IEEE Embed. Syst. Lett. 15(1): 9-12 (2023) - [j10]Pooja Choudhary, Lava Bhargava, Ashok Kumar Suhag:
Designing of Energy-Efficient Approximate Multiplier Circuit for Processing Unit of IoT Devices. SN Comput. Sci. 4(5): 506 (2023) - [c18]Soma Niloy Ghosh, Vineet Sahula, Lava Bhargava:
Reinforcement Learning Based Prefetch-Control Mechanism. APCCAS 2023: 110-114 - [c17]Pooja Choudhary, Lava Bhargava, G. U. Vinod, Ashok Kumar Suhag, Masahiro Fujita, Virendra Singh:
Optimization of Imprecise Multiplier Circuits by using Binary Decision Diagram. iSES 2023: 115-120 - [c16]Uday Chandra Akuthota, Lava Bhargava:
Network Intrusion Classification on the UNSW-NB15 Dataset Using XGBoost Feature Selection Technique. iSES 2023: 169-174 - [c15]Pooja Choudhary, Lava Bhargava, Masahiro Fujita, Virendra Singh:
LUT-based Arithmetic Circuit Approximation with Formal Guarantee on Worst Case Relative Error. LATS 2023: 1-2 - 2022
- [j9]Pooja Choudhary, Lava Bhargava, Masahiro Fujita, Virendra Singh, Ashok Kumar Suhag:
Approximating Arithmetic Circuits for IoT Devices Data Processing. Comput. Ind. Eng. 174: 108792 (2022) - [j8]Manjari Gupta, Lava Bhargava, S. Indu:
Deep neural network learning for power limited heterogeneous system with workload classification. Computing 104(1): 95-122 (2022) - [j7]Ashish Sharma, Manoj Singh Gaur, Lava Bhargava, Vijay Laxmi, Manoj Gupta:
Pre-Silicon NBTI Delay-Aware Modeling of Network-on-Chip Router Microarchitecture. Microprocess. Microsystems 91: 104526 (2022) - [j6]Gaurav Sharma, Lava Bhargava, Vinod Kumar:
Hybrid learning scenario path selection and abstraction framework for smart verification of complex SoCs. J. Supercomput. 78(5): 6207-6233 (2022) - [c14]Uday Chandra Akuthota, Md Muddasirul Hassan, Lava Bhargava:
Blood Pressure Prediction Based on Single Photoplethysmography. iSES 2022: 337-342 - [c13]Pooja Choudhary, Lava Bhargava, Masahiro Fujita, Virendra Singh:
Synthesis of LUT Based Approximating Adder Circuits with Formal Error Guarantees. VDAT 2022: 435-449 - [i2]Ramakrishna Vaikuntapu, Vineet Sahula, Lava Bhargava:
Variability aware Golden Reference Free methodology for Hardware Trojan Detection Using Robust Delay Analysis. CoRR abs/2201.09668 (2022) - [i1]Soma Niloy Ghosh, Vineet Sahula, Lava Bhargava:
Reuse-Aware Cache Partitioning Framework for Data-Sharing Multicore Systems. CoRR abs/2201.11638 (2022) - 2021
- [j5]Manjari Gupta, Lava Bhargava, S. Indu:
Dynamic workload-aware DVFS for multicore systems using machine learning. Computing 103(8): 1747-1769 (2021) - [j4]Soma Niloy Ghosh, Lava Bhargava, Vineet Sahula:
SRCP: sharing and reuse-aware replacement policy for the partitioned cache in multicore systems. Des. Autom. Embed. Syst. 25(3): 193-211 (2021) - [j3]Gaurav Sharma, Lava Bhargava, Vinod Kumar:
Real-time automated register abstraction active power-aware electronic system level verification framework. Integr. 77: 151-166 (2021) - [j2]Manjari Gupta, Lava Bhargava, S. Indu:
Mapping techniques in multicore processors: current and future trends. J. Supercomput. 77(8): 9308-9363 (2021) - [c12]Soma Niloy Ghosh, Vineet Sahula, Lava Bhargava:
Reuse-Aware Cache Partitioning Framework for Data-Sharing Multicore Systems. iSES 2021: 277-278 - 2020
- [j1]Gaurav Sharma, Lava Bhargava, Vinod Kumar:
Automated Bug Resistant Test Intent with Register Header Database for Optimized Verification. J. Electron. Test. 36(2): 219-237 (2020)
2010 – 2019
- 2019
- [c11]Arathy Varghese, Chinnamuthan Periasamy, Lava Bhargava, Lintu Rajan:
Leakage Reduction and gm Enhancement in GaN HEMT for Enhanced Sensitivity in Fibrinogen Detection from Human Plasma. IEEE SENSORS 2019: 1-4 - [c10]Soma Niloy Ghosh, Lava Bhargava, Vineet Sahula:
Comparative Analysis of Control-transfer Instructions On WCET of Real-Time Systems. ISED 2019: 1-4 - 2018
- [c9]Gaurav Sharma, Lava Bhargava, Vinod Kumar:
Automated Coverage Register Access Technology on UVM Framework for Advanced Verification. ISCAS 2018: 1-4 - [c8]Ashish Sharma, Manish Tailor, Lava Bhargava, Manoj Singh Gaur:
3D LBDR: Logic-Based Distributed Routing for 3D NoC. VDAT 2018: 473-482 - [c7]Keerthi Sagar Kokkiligadda, Yogendra Gupta, Lava Bhargava:
Efficient and Failure Aware ECC for STT-MRAM Cache Memory. VDAT 2018: 509-520 - [c6]Ramakrishna Vaikuntapu, Lava Bhargava, Vineet Sahula:
Novel Variability Aware Path Selection for Self-Referencing Based Hardware Trojan Detection. VLSID 2018: 79-84 - 2017
- [c5]Ashish Sharma, Yogendra Gupta, Sonal Yadav, Lava Bhargava, Manoj Singh Gaur, Vijay Laxmi:
A Power, Thermal and Reliability-Aware Network-on-Chip. iNIS 2017: 243-245 - 2016
- [c4]Yogendra Gupta, Lava Bhargava:
Reinforcement Learning based Routing for Cognitive Network on Chip. ICTCS 2016: 35:1-35:3 - [c3]Ashish Sharma, Ruby Ansar, Manoj Singh Gaur, Lava Bhargava, Vijay Laxmi:
Reducing FIFO buffer power using architectural alternatives at RTL. VDAT 2016: 1-2 - [c2]Ramakrishna Vaikuntapu, Lava Bhargava, Vineet Sahula:
Golden IC free methodology for hardware Trojan detection using symmetric path delays. VDAT 2016: 1-2 - 2015
- [c1]Ashish Sharma, Prachi Upadhyay, Ruby Ansar, Vijay Laxmi, Lava Bhargava, Manoj Singh Gaur, Mark Zwolinski:
A framework for thermal aware reliability estimation in 2D NoC. VDAT 2015: 1-6
Coauthor Index
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last updated on 2024-11-07 20:29 CET by the dblp team
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