Aman Sharma
Orcid: 0000-0003-2263-7902
According to our database1,
Aman Sharma
authored at least 35 papers
between 2017 and 2024.
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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
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
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
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
IEEE Access, 2023
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
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
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
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
Int. J. Mach. Learn. Cybern., 2020
Int. J. Electron. Secur. Digit. Forensics, 2020
2019
C-HMOSHSSA: Gene selection for cancer classification using multi-objective meta-heuristic and machine learning methods.
Comput. Methods Programs Biomed., 2019
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2019
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
Proceedings of the TENCON 2018, 2018
2017
On the Benefit of Combining Neural, Statistical and External Features for Fake News Identification.
CoRR, 2017