Maryam Bukhari

Orcid: 0000-0003-2904-2223

According to our database1, Maryam Bukhari authored at least 20 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Macroeconomic context-aware graph topology learning for stock price forecasting using graph neural network.
ICT Express, 2026

Transferable and defense-aware dual-objective meta gradient memory attack against deepfake generation.
Expert Syst. Appl., 2026

Driving Investor Success: Novel Macro Momentum Accelerated Reinforcement Learning Framework for Stock Trading.
IEEE Access, 2026

A Texture-Guided Adversarial Defense Framework Against Deepfake Generation.
IEEE Access, 2026

2025
Sentiment aware kernel mapping recommender system for Amazon product recommendations.
Pattern Anal. Appl., September, 2025

An actor-critic based recommender system with context-aware user modeling.
Artif. Intell. Rev., May, 2025

A novel inter-intra graph neural networks for stock price forecasting modeling cross-border relationships.
Expert Syst. Appl., 2025

A Novel RMS-Driven Deep Reinforcement Learning for Optimized Portfolio Management in Stock Trading.
IEEE Access, 2025

2024
KGR: A Kernel-Mapping Based Group Recommender System Using Trust Relations.
Neural Process. Lett., August, 2024

Object detection under the lens of privacy: A critical survey of methods, challenges, and future directions.
ICT Express, 2024

A Multifaceted Approach to Stock Market Trading Using Reinforcement Learning.
IEEE Access, 2024

2023
POSNet: a hybrid deep learning model for efficient person re-identification.
J. Supercomput., August, 2023

An efficient deep learning-assisted person re-identification solution for intelligent video surveillance in smart cities.
Frontiers Comput. Sci., August, 2023

Language and vision based person re-identification for surveillance systems using deep learning with LIP layers.
Image Vis. Comput., April, 2023

Secure Gait Recognition-Based Smart Surveillance Systems Against Universal Adversarial Attacks.
J. Database Manag., 2023

2022
A computer-aided diagnostic system for liver tumor detection using modified U-Net architecture.
J. Supercomput., 2022

Exploiting vulnerability of convolutional neural network-based gait recognition system.
J. Supercomput., 2022

Small obstacles detection on roads scenes using semantic segmentation for the safe navigation of autonomous vehicles.
J. Electronic Imaging, 2022

2021
An Efficient Gait Recognition Method for Known and Unknown Covariate Conditions.
IEEE Access, 2021

Fake News Detection on Social Media for Sustainable Trust-based Social Networking.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021


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