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Muhammad Bilal 0001
Person information
- affiliation: King Abdulaziz University, Jeddah, Saudi Arabia
- affiliation (former): Korea Advanced Institute of Science and Technology, Center for Integrated Smart Sensors, Daejeon, South Korea
- affiliation (PhD 2013): Lahore University of Management Sciences (LUMS), Lahore, Pakistan
Other persons with the same name
- Muhammad Bilal (aka: Bilal Muhammad) — disambiguation page
- Muhammad Bilal 0002
— Hong Kong Polytechnic University, Land Surveying & Geo-Informatics, Hong Kong (and 1 more)
- Muhammad Bilal 0003
- Muhammad Bilal 0004
- Muhammad Bilal 0005 — University of West of the England, Bristol, UK
- Muhammad Bilal 0006
- Muhammad Bilal 0007
- Muhammad Bilal 0008 — Universitat Autònoma de Barcelona, Spain
- Muhammad Bilal 0009 — COMSATS Institute of Information Technology, Islamabad, Pakistan
- Muhammad Bilal 0010
- Muhammad Bilal 0011
- Muhammad Bilal 0012
- Muhammad Bilal 0013
- Muhammad Bilal 0014
- Muhammad Bilal 0015
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2020 – today
- 2024
- [j20]Ibrahim Mustafa Mehedi
Remote Sensing and Decision Support System Applications in Precision Agriculture: Challenges and Possibilities. IEEE Access 12: 44786-44798 (2024) - [j19]Ibrahim Mustafa Mehedi
Artificial Intelligence With Deep Learning Based Automated Ear Infection Detection. IEEE Access 12: 48335-48348 (2024) - [j18]Muhammad Irfan
PowerX: A Probabilistic Graph Model for Complex Smart Grid Networks. IEEE Access 12: 48725-48736 (2024) - [j17]Muhammad Bilal
Efficient Framework for Real-Time Color Cast Correction and Dehazing Using Online Algorithms to Approximate Image Statistics. IEEE Access 12: 72813-72827 (2024) - [j16]Ibrahim Mustafa Mehedi
Leveraging Hyperspectral Remote Sensing Imaging for Agricultural Crop Classification Using Coot Bird Optimization With Entropy-Based Feature Fusion Model. IEEE Access 12: 130214-130227 (2024) - 2023
- [j15]Muhammad Bilal
Enhancing Conventional Geometry-Based Visual Odometry Pipeline Through Integration of Deep Descriptors. IEEE Access 11: 58294-58307 (2023) - [j14]Hassan J. Al Dawasari
DeepVision: Enhanced Drone Detection and Recognition in Visible Imagery through Deep Learning Networks. Sensors 23(21): 8711 (2023) - 2022
- [j13]Hamza Mustafa
Multi-Stream Deep Neural Network for Diabetic Retinopathy Severity Classification Under a Boosting Framework. IEEE Access 10: 113172-113183 (2022) - [j12]Abdulhadi Mohammad din Dawrayn
SVM-Based Switching Filter Hardware Design for Mixed Noise Reduction in Digital Images Using High-Level Synthesis Tools. Int. J. Comput. Vis. Image Process. 12(1): 1-16 (2022) - 2021
- [j11]Muhammad Bilal
Low Complexity Parallel FIR Filter Circuit Design by Exploiting Signal Correlation in Multimedia Applications. J. Circuits Syst. Comput. 30(9): 2150167:1-2150167:19 (2021) - [j10]Muhammad Kashif Yaqoob, Syed Farooq Ali
ResNet Based Deep Features and Random Forest Classifier for Diabetic Retinopathy Detection. Sensors 21(11): 3883 (2021) - 2020
- [j9]Shehzad Muhammad Hanif
Competitive residual neural network for image classification. ICT Express 6(1): 28-37 (2020) - [j8]Javed Hassan, Muhammad Bilal
A Hardware-Software Co-Design Framework for Real-Time Video Stabilization. J. Circuits Syst. Comput. 29(2): 2050027:1-2050027:18 (2020) - [j7]Muhammad Bilal
Benchmark Revision for HOG-SVM Pedestrian Detector Through Reinvigorated Training and Evaluation Methodologies. IEEE Trans. Intell. Transp. Syst. 21(3): 1277-1287 (2020)
2010 – 2019
- 2019
- [j6]Muhammad Bilal
Resource-efficient FPGA implementation of perspective transformation for bird's eye view generation using high-level synthesis framework. IET Circuits Devices Syst. 13(6): 756-762 (2019) - [j5]Aiman Badawi, Muhammad Bilal
High-Level Synthesis of Online K-Means Clustering Hardware for a Real-Time Image Processing Pipeline. J. Imaging 5(3): 38 (2019) - [j4]Muhammad Bilal
High Performance Real-Time Pedestrian Detection Using Light Weight Features and Fast Cascaded Kernel SVM Classification. J. Signal Process. Syst. 91(2): 117-129 (2019) - 2018
- [c5]Shehzad Muhammad Hanif
Implementation of an Embedded Testbed for Indoor SLAM. AICCSA 2018: 1-8 - 2017
- [j3]Muhammad Bilal
Algorithmic optimisation of histogram intersection kernel support vector machine-based pedestrian detection using low complexity features. IET Comput. Vis. 11(5): 350-357 (2017) - [j2]Muhammad Bilal
A Low-Complexity Pedestrian Detection Framework for Smart Video Surveillance Systems. IEEE Trans. Circuits Syst. Video Technol. 27(10): 2260-2273 (2017) - 2015
- [c4]Asim Khan
A Hardware Accelerator for Real Time Sliding Window Based Pedestrian Detection on High Resolution Images. VLSI-SoC (Selected Papers) 2015: 46-66 - [c3]Asim Khan
Hardware architecture and optimization of sliding window based pedestrian detection on FPGA for high resolution images by varying local features. VLSI-SoC 2015: 142-148 - 2012
- [j1]Muhammad Bilal
FPGA Design for Statistics-Inspired Approximate Sum-of-Squared-Error Computation in Multimedia Applications. IEEE Trans. Circuits Syst. II Express Briefs 59-II(8): 506-510 (2012) - 2010
- [c2]Muhammad Bilal, Shahid Masud:
FIR filter implementation through Speculative Sub-Expression Sharing in image data. ICASSP 2010: 1582-1585
2000 – 2009
- 2007
- [c1]Muhammad Bilal, Shahid Masud:
Efficient Color Space Conversion using Custom Instruction in a RISC Processor. ISCAS 2007: 1109-1112
Coauthor Index
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