Aman Sharma

Orcid: 0000-0003-2263-7902

According to our database1, Aman Sharma authored at least 35 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A novel methodology using RNN + LSTM + ML for predicting student's academic performance.
Educ. Inf. Technol., August, 2024

VDMNav: Software Architecture for Aerodynamically Constrained Navigation on Small Fixed-Wing Drones.
IEEE Robotics Autom. Lett., 2024

EchoAtt: Attend, Copy, then Adjust for More Efficient Large Language Models.
CoRR, 2024

Java-Class-Hijack: Software Supply Chain Attack for Java based on Maven Dependency Resolution and Java Classloading.
CoRR, 2024

SBOM.EXE: Countering Dynamic Code Injection based on Software Bill of Materials in Java.
CoRR, 2024

Identifying Aerodynamics of Delta-Wing Drones for Model-Based Navigation: A Comparative Study.
IEEE Access, 2024

GraphFill: Deep Image Inpainting using Graphs.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Object Aware Contrastive Prior for Interactive Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Augmenting Diffs With Runtime Information.
IEEE Trans. Software Eng., November, 2023

Introduction to the Special Issue on Sentiment Analysis and Affective computing in Multimedia Data on Social Network.
Scalable Comput. Pract. Exp., November, 2023

Prediction of student academic performance based on their emotional wellbeing and interaction on various e-learning platforms.
Educ. Inf. Technol., August, 2023

Challenges of Producing Software Bill of Materials for Java.
IEEE Secur. Priv., 2023

Improving Sentiment Analysis in Social Media by Handling Lengthened Words.
IEEE Access, 2023

Software Bill of Materials in Java.
Proceedings of the 2023 Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses, 2023

Enhancing 3D Human Pose Estimation through Adversarial Learning and Graph Convolutional Networks.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Prediction Of Structural Health Of Civil Engineering Infrastructure Using AI.
Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023

2022
Digital Adoption of Start-Ups With E-Governance Systems: A Mediating Role of Digital Support and Awareness.
Int. J. Electron. Gov. Res., 2022

Ensemble framework for cardiovascular disease prediction.
Comput. Biol. Medicine, 2022

Brain Tumor Classification using Machine Learning and Deep Learning Algorithms: A Comparison: Classifying brain MRI images on thebasis of location of tumor and comparingthe various Machine Learning and Deep LEARNING models used to predict best performance.
Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

Bitcoin's Blockchain Data Analytics: A Graph Theoretic Perspective.
Proceedings of the Advanced Information Networking and Applications, 2022

2021
A sliding mode-based approach to motion cueing for virtual reality gaming using motion simulators.
Virtual Real., 2021

Experiment level curation of transcriptional regulatory interactions in neurodevelopment.
PLoS Comput. Biol., 2021

2020
Drug sensitivity prediction framework using ensemble and multi-task learning.
Int. J. Mach. Learn. Cybern., 2020

Forensic of an unrooted mobile device.
Int. J. Electron. Secur. Digit. Forensics, 2020

Bitcoin's Blockchain Data Analytics: A Graph Theoretic Perspective.
CoRR, 2020

2019
Acausal Approach to Motion Cueing.
IEEE Robotics Autom. Lett., 2019

C-HMOSHSSA: Gene selection for cancer classification using multi-objective meta-heuristic and machine learning methods.
Comput. Methods Programs Biomed., 2019

QADroid: regression event selection for Android applications.
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2019

Implementation of CNN on Zynq based FPGA for Real-time Object Detection.
Proceedings of the 10th International Conference on Computing, 2019

2018
KSRMF: Kernelized similarity based regularized matrix factorization framework for predicting anti-cancer drug responses.
J. Intell. Fuzzy Syst., 2018

An integrated framework for identification of effective and synergistic anti-cancer drug combinations.
J. Bioinform. Comput. Biol., 2018

BE-DTI': Ensemble framework for drug target interaction prediction using dimensionality reduction and active learning.
Comput. Methods Programs Biomed., 2018

Combining Neural, Statistical and External Features for Fake News Stance Identification.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Reconstruction of Edges from Fan-Beam Projections.
Proceedings of the TENCON 2018, 2018

2017
On the Benefit of Combining Neural, Statistical and External Features for Fake News Identification.
CoRR, 2017


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