User profiles for Khurram Hashmi

Khurram Azeem Hashmi

- Verified email at dfki.de - Cited by 327

Khurram Hashmi

- Verified email at ucd.ie - Cited by 308

Renewable energy source (RES) based islanded DC microgrid with enhanced resilient control

MU Shahid, MM Khan, K Hashmi, R Boudina… - International Journal of …, 2019 - Elsevier
Enhancements in the control scheme of renewable energy resources (RES) in microgrids are
a growing region of research. In order to improve the resilience of the microgrids control, a …

Capacitor Voltage Damping Based on Parallel Feedforward Compensation Method for LCL-Filter Grid-Connected Inverter

…, X Jianming, M Ali, S Habib, K Hashmi… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Active damping is a popular approach to suppress the resonance in LCL -filtered grid-connected
inverter owing to lossless damping and efficient system design. In capacitor voltage (CV…

[HTML][HTML] A virtual micro-islanding-based control paradigm for renewable microgrids

K Hashmi, M Mansoor Khan, H Jiang, M Umair Shahid… - Electronics, 2018 - mdpi.com
Improvements in control of renewable energy-based microgrids are a growing area of interest.
A hierarchical control structure is popularly implemented to regulate key parameters such …

[HTML][HTML] Survey and performance analysis of deep learning based object detection in challenging environments

M Ahmed, KA Hashmi, A Pagani, M Liwicki, D Stricker… - Sensors, 2021 - mdpi.com
Recent progress in deep learning has led to accurate and efficient generic object detection
networks. Training of highly reliable models depends on large datasets with highly textured …

Current status and performance analysis of table recognition in document images with deep neural networks

KA Hashmi, M Liwicki, D Stricker, MA Afzal… - IEEE …, 2021 - ieeexplore.ieee.org
The first phase of table recognition is to detect the tabular area in a document. Subsequently,
the tabular structures are recognized in the second phase in order to extract information …

Featenhancer: Enhancing hierarchical features for object detection and beyond under low-light vision

KA Hashmi, G Kallempudi… - Proceedings of the …, 2023 - openaccess.thecvf.com
Extracting useful visual cues for the downstream tasks is especially challenging under low-light
vision. Prior works create enhanced representations by either correlating visual quality …

[HTML][HTML] A quasi-average estimation aided hierarchical control scheme for power electronics-based islanded microgrids

K Hashmi, M Mansoor Khan, J Xu, MU Shahid, S Habib… - Electronics, 2019 - mdpi.com
Self-governed micro power networks are a promising solution for meeting the energy needs
of isolated communities not having access to regular transmission networks. The control of …

[HTML][HTML] A survey of graphical page object detection with deep neural networks

J Bhatt, KA Hashmi, MZ Afzal, D Stricker - Applied Sciences, 2021 - mdpi.com
In any document, graphical elements like tables, figures, and formulas contain essential
information. The processing and interpretation of such information require specialized algorithms…

Guided table structure recognition through anchor optimization

KA Hashmi, D Stricker, M Liwicki, MN Afzal… - IEEE …, 2021 - ieeexplore.ieee.org
This paper presents the novel approach towards table structure recognition by leveraging the
guided anchors. The concept differs from current state-of-the-art systems for table structure …

[HTML][HTML] HybridTabNet: Towards better table detection in scanned document images

D Nazir, KA Hashmi, A Pagani, M Liwicki, D Stricker… - Applied Sciences, 2021 - mdpi.com
Tables in document images are an important entity since they contain crucial information.
Therefore, accurate table detection can significantly improve the information extraction from …