Harsh Sharma

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Dataflow-Aware PIM-Enabled Manycore Architecture for Deep Learning Workloads.
CoRR, 2024

Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling.
CoRR, 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

Prediction of transcript structure and concentration using RNA-Seq data.
Briefings Bioinform., March, 2023

A Heterogeneous Chiplet Architecture for Accelerating End-to-End Transformer Models.
CoRR, 2023

Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds.
CoRR, 2023

Achieving Datacenter-scale Performance through Chiplet-based Manycore Architectures.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022
SWAP: A Server-Scale Communication-Aware Chiplet-Based Manycore PIM Accelerator.
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

Combating high variance in Data-Scarce Implicit Hate Speech Classification.
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

Smart and Context-Aware System employing Emotions Recognition.
CoRR, 2021

Leveraging Machine Learning and SDN-Fog Infrastructure to Mitigate Flood Attacks.
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

Data Agnostic RoBERTa-based Natural Language to SQL Query Generation.
CoRR, 2020

Automated Classification of Parkinson's Disease Using Diffusion Tensor Imaging Data.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

2019
Synthetic Aerial Image Generation and Runway Segmentation.
Proceedings of the Smart Multimedia - Second International Conference, 2019

Semantic Learning for Image Compression (SLIC).
Proceedings of the Smart Multimedia - Second International Conference, 2019

2018
Cyclegen: Cyclic consistency based product review generator from attributes.
Proceedings of the 11th International Conference on Natural Language Generation, 2018


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