Syeda Sitara Wishal Fatima

ORCID: 0009-0000-3970-4636
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Forecasting Techniques and Applications
  • Neuroscience and Neural Engineering
  • Air Quality Monitoring and Forecasting
  • Innovation Diffusion and Forecasting
  • Advanced Memory and Neural Computing
  • Advanced Steganography and Watermarking Techniques
  • Digital Media Forensic Detection
  • Energy Load and Power Forecasting
  • Video Surveillance and Tracking Methods
  • Advanced Data Compression Techniques
  • Vehicle License Plate Recognition
  • EEG and Brain-Computer Interfaces
  • Anomaly Detection Techniques and Applications
  • Stock Market Forecasting Methods

National University of Sciences and Technology
2025

University of Windsor
2023-2024

Ahmadu Bello University
2021

Digital image watermarking is a technology that it used to hide the information in an for copy right protection. The main issues are robustness and fidelity. In this paper, Discrete Wavelet Transform (DWT) applied Singular Value Decomposition (SVD) also used. Genetic algorithm implemented embedding watermark achieve It optimization technique find positions watermark. Attacks on watermarked image. Measurements like PSNR NC calculated extracted

10.1049/cp.2013.2633 article EN 2013-01-01

The availability of easy to use video editing software has made it for cyber criminals combine different videos from sources using blue screen composition technology. This, makes the authenticity such digital questionable and needs be verified especially in court law. Blue Screen Composition is one ways carry out forgery simple affordable software. Detecting this type aims at revealing observing facts about a so as conclude whether contents have undergone any unethical manipulation. In work,...

10.33003/fjs-2021-0501-526 article EN cc-by FUDMA Journal of Sciences 2021-07-01

This paper compares Facebook's Prophet with classic regression-based machine learning algorithms for short-term and long-term forecasting in a client's manufacturing system. The study uses advanced methods on four different real-world datasets rich temporal features complex patterns to provide insights businesses the industry. results showed that outperformed other models an error percentage of 36.82% when data trends changed rapidly over shorter period. On hand, tree-based performed better...

10.1109/icac57885.2023.10275201 article EN 2022 27th International Conference on Automation and Computing (ICAC) 2023-08-30
Coming Soon ...