Harsh Sharma
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2024
A Dataflow-Aware Network-on-Interposer for CNN Inferencing in the Presence of Defective Chiplets.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024
CoRR, 2024
CoRR, 2024
Lagrangian operator inference enhanced with structure-preserving machine learning for nonintrusive model reduction of mechanical systems.
CoRR, 2024
Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling.
CoRR, 2024
Thermal Modeling and Management Challenges in Heterogenous Integration: 2.5D Chiplet Platforms and Beyond.
Proceedings of the 42nd IEEE VLSI Test Symposium, 2024
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
2023
Florets for Chiplets: Data Flow-aware High-Performance and Energy-efficient Network-on-Interposer for CNN Inference Tasks.
ACM Trans. Embed. Comput. Syst., October, 2023
An effective deep learning pipeline for improved question classification into bloom's taxonomy's domains.
Educ. Inf. Technol., May, 2023
The role of individual physical body measurements and activity on spine kinematics during flexion, lateral bending and twist tasks in healthy young adults - Comparing marker(less) data.
Biomed. Signal Process. Control., April, 2023
Briefings Bioinform., March, 2023
CoRR, 2023
Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds.
CoRR, 2023
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
2022
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
An Intelligent Sensor Based Decision Support System for Diagnosing Pulmonary Ailment through Standardized Chest X-ray Scans.
Sensors, 2022
An IoT-based intelligent traffic engagement system with emergency vehicles pre-emption.
Int. J. Sens. Networks, 2022
CoRR, 2022
Preserving Lagrangian structure in data-driven reduced-order modeling of large-scale mechanical systems.
CoRR, 2022
Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
Hamiltonian Operator Inference: Physics-preserving Learning of Reduced-order Models for Hamiltonian Systems.
CoRR, 2021
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021
2020
Marker-Less 3d Object Recognition and 6d Pose Estimation for Homogeneous Textureless Objects: An RGB-D Approach.
Sensors, 2020
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020
2019
Proceedings of the Smart Multimedia - Second International Conference, 2019
Proceedings of the Smart Multimedia - Second International Conference, 2019
2018
Proceedings of the 11th International Conference on Natural Language Generation, 2018