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ORCIDRizwan Qureshi
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2020 – today
- 2024
[j28]Muhammad Usman Hadi
, Kamaluddeen Usman Danyaro, Alawi Alqushaibi, Rizwan Qureshi, Tanvir Alam:
Digital Predistortion Based Experimental Evaluation of Optimized Recurrent Neural Network for 5G Analog Radio Over Fiber Links. IEEE Access 12: 19765-19777 (2024)- [j27]Mehak Usmani, Zulfiqar Ali Memon, Kamaluddeen Usman Danyaro, Rizwan Qureshi:
Optimized Multi-Level Multi-Type Ensemble (OMME) Forecasting Model for Univariate Time Series. IEEE Access 12: 35700-35715 (2024) - [j26]Muhammad Irfan, Abdelrahman B. M. Eldaly, Rizwan Qureshi, Muhammad Bilal, Shehzad Muhammad Hanif:
PowerX: A Probabilistic Graph Model for Complex Smart Grid Networks. IEEE Access 12: 48725-48736 (2024) - [j25]Mohammed Gamal Ragab, Said Jadid Abdulkadir, Amgad Muneer, Alawi Alqushaibi, Ebrahim Hamid Hasan Sumiea, Rizwan Qureshi, Safwan Mahmood Al-Selwi, Hitham Alhussian:
A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023). IEEE Access 12: 57815-57836 (2024) - [j24]Mohammed A. Mahdi, Shahanawaj Ahamad, Sawsan A. Saad, Alaa Kamal Yousif Dafhalla, Rizwan Qureshi, Alawi Alqushaibi:
Weighted Fusion Transformer for Dual PET/CT Head and Neck Tumor Segmentation. IEEE Access 12: 110905-110919 (2024) - [j23]Mehak Usmani, Zulfiqar Ali Memon, Adil Zulfiqar, Rizwan Qureshi:
Preptimize: Automation of Time Series Data Preprocessing and Forecasting. Algorithms 17(8): 332 (2024) - [j22]Anam Zahra, Rizwan Qureshi, Muhammad Sajjad, Ferhat Sadak, Mehmood Nawaz, Haris Ahmad Khan, Muhammad Uzair:
Current advances in imaging spectroscopy and its state-of-the-art applications. Expert Syst. Appl. 238(Part E): 122172 (2024) - [j21]Muhammad Waqas, Syed Umaid Ahmed, Muhammad Atif Tahir, Jia Wu, Rizwan Qureshi:
Exploring Multiple Instance Learning (MIL): A brief survey. Expert Syst. Appl. 250: 123893 (2024) - [j20]Belqes Alsadi, Saleh Musleh, Hamada R. H. Al-Absi, Mahmoud Ahmed Refaee, Rizwan Qureshi, Nady El Hajj, Tanvir Alam:
An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health. BMC Medical Informatics Decis. Mak. 24(1): 144 (2024) - [j19]Anas Zafar, Danyal Aftab, Rizwan Qureshi, Xinqi Fan, Pingjun Chen, Jia Wu, Hazrat Ali, Shah Nawaz, Sheheryar Khan, Mubarak Shah:
Single Stage Adaptive Multi-Attention Network for Image Restoration. IEEE Trans. Image Process. 33: 2924-2935 (2024) - [c14]Anas Zafar, Danyal Aftab, Rizwan Qureshi, Yaofeng Wang, Hong Yan:
Multi-Explainable TemporalNet: An Interpretable Multimodal Approach using Temporal Convolutional Network for User-level Depression Detection. CVPR Workshops 2024: 2258-2265 - [i4]Ranjan Sapkota, Rizwan Qureshi, Marco Flores Calero, Chetan Badjugar, Upesh Nepal, Alwin Poulose, Peter Zeno, Uday Bhanu Prakash Vaddevolu, Hong Yan, Manoj Karkee:
YOLOv10 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once Series. CoRR abs/2406.19407 (2024) - [i3]Ahmed Abdulaziz Alnhari, Rizwan Qureshi:
Unified External Stakeholder Engagement and Requirements Strategy. CoRR abs/2409.05019 (2024) - 2023
- [j18]Rizwan Qureshi, Muhammad Irfan, Hazrat Ali, Arshad Khan, Aditya Shekhar Nittala, Shawkat Ali, Abbas Shah, Taimoor Muzaffar Gondal, Ferhat Sadak, Zubair Shah, Muhammad Usman Hadi, Sheheryar Khan, Qasem Al-Tashi, Jia Wu, Amine Bermak, Tanvir Alam:
Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review. IEEE Access 11: 61600-61620 (2023) - [j17]Muhammad Waqas, Muhammad Atif Tahir, Rizwan Qureshi:
Deep Gaussian mixture model based instance relevance estimation for multiple instance learning applications. Appl. Intell. 53(9): 10310-10325 (2023) - [j16]Saleh Musleh, Mohammad Tariqul Islam, Rizwan Qureshi, Nihad Alajez, Tanvir Alam:
MSLP: mRNA subcellular localization predictor based on machine learning techniques. BMC Bioinform. 24(1): 109 (2023) - [j15]Saleh Musleh, Mohammad Tariqul Islam, Rizwan Qureshi, Nihad Alajez, Tanvir Alam:
Correction: MSLP: mRNA subcellular localization predictor based on machine learning techniques. BMC Bioinform. 24(1): 156 (2023) - [j14]Muhammad Usman Hadi, Rizwan Qureshi, Ayesha Ahmed, Nadeem Iftikhar:
A lightweight CORONA-NET for COVID-19 detection in X-ray images. Expert Syst. Appl. 225: 120023 (2023) - [j13]Sonia Salman, Jawwad Ahmed Shamsi, Rizwan Qureshi:
Deep Fake Generation and Detection: Issues, Challenges, and Solutions. IT Prof. 25(1): 52-59 (2023) - [j12]Mehmood Nawaz, Rizwan Qureshi, Mansoor Ali Teevno, Ali Raza Shahid:
Object detection and segmentation by composition of fast fuzzy C-mean clustering based maps. J. Ambient Intell. Humaniz. Comput. 14(6): 7173-7188 (2023) - [j11]Tarique Hussain, Zulfiqar Ali Memon, Rizwan Qureshi, Tanvir Alam:
EMO-MoviNet: Enhancing Action Recognition in Videos with EvoNorm, Mish Activation, and Optimal Frame Selection for Efficient Mobile Deployment. Sensors 23(19): 8106 (2023) - [j10]Rizwan Qureshi, Bin Zou, Tanvir Alam, Jia Wu, Victor H. F. Lee, Hong Yan:
Computational Methods for the Analysis and Prediction of EGFR-Mutated Lung Cancer Drug Resistance: Recent Advances in Drug Design, Challenges and Future Prospects. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 238-255 (2023) - [c13]Muhammad Irfan, Kizheppatt Vipin, Rizwan Qureshi:
Accelerating DNA Sequence Analysis using Content-Addressable Memory in FPGAs. SmartCloud 2023: 69-72 - 2022
- [j9]Omer Sadak, Ferhat Sadak, Özal Yildirim, Nicole M. Iverson, Rizwan Qureshi, Muhammed Talo, Ooi Chui Ping, U. Rajendra Acharya, Sundaram Gunasekaran, Tanvir Alam:
Electrochemical Biosensing and Deep Learning-Based Approaches in the Diagnosis of COVID-19: A Review. IEEE Access 10: 98633-98648 (2022) - [j8]Rizwan Qureshi, Avirup Ghosh, Hong Yan:
Correlated Motions and Dynamics in Different Domains of Epidermal Growth Factor Receptor With L858R and T790M Mutations. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 383-394 (2022) - [c12]Kinza Rohail, Saba Bashir, Hazrat Ali, Tanvir Alam, Sheheryar Khan, Jia Wu, Pingjun Chen, Rizwan Qureshi:
Understanding Tumor Micro Environment Using Graph Theory. ACCV (Workshops) 2022: 90-101 - [c11]Usama Tariq, Rizwan Qureshi, Anas Zafar, Danyal Aftab, Jia Wu, Tanvir Alam, Zubair Shah, Hazrat Ali:
Brain Tumor Synthetic Data Generation with Adaptive StyleGANs. AICS 2022: 147-159 - [c10]Rizwan Qureshi, Tanvir Alam, Jia Wu:
Drug response prediction for lung cancer patients using biophysical simulation and machine learning. BIBM 2022: 3867-3869 - [c9]Murad Popattia, Muhammad Rafi, Rizwan Qureshi, Shah Nawaz:
Guiding Attention using Partial-Order Relationships for Image Captioning. CVPR Workshops 2022: 4670-4679 - [c8]Bassam Ali Jaber, Rizwan Qureshi, Alaa A. Abd-Alrazaq, Mohammad Azizur Rahman, Mowafa S. Househ, Zubair Shah, Tanvir Alam:
Clinical Trials on Alternative Medicines for COVID-19. ICIMTH 2022: 366-369 - [i2]Murad Popattia, Muhammad Rafi, Rizwan Qureshi, Shah Nawaz:
Guiding Attention using Partial-Order Relationships for Image Captioning. CoRR abs/2204.07476 (2022) - [i1]Usama Tariq, Rizwan Qureshi, Anas Zafar, Danyal Aftab, Jia Wu, Tanvir Alam, Zubair Shah, Hazrat Ali:
Brain Tumor Synthetic Data Generation with Adaptive StyleGANs. CoRR abs/2212.01772 (2022) - 2021
- [j7]Mengxu Zhu, Rizwan Qureshi, Hong Yan:
Geometrical Features of Epidermal Growth Factor Receptor-Related Dimers Reveal the Mechanisms of Drug Resistance in Lung Cancer Patients. IEEE Access 9: 5704-5715 (2021) - [j6]Rizwan Qureshi, Mengxu Zhu, Hong Yan:
Visualization of Protein-Drug Interactions for the Analysis of Drug Resistance in Lung Cancer. IEEE J. Biomed. Health Informatics 25(5): 1839-1848 (2021) - [c7]Seham Nasr, Muhannad Quwaider, Rizwan Qureshi:
Text-independent Speaker Recognition using Deep Neural Networks. ICIT 2021: 517-521 - [c6]Muhammad Waqas, Muhammad Atif Tahir, Rizwan Qureshi:
Ensemble-Based Instance Relevance Estimation in Multiple-Instance Learning. EUVIP 2021: 1-6 - 2020
- [j5]Ubaid Ullah, Ali Raza Shahid, Muhammad Irfan, Junaid Qadir, Mehmood Nawaz, Rizwan Qureshi:
A Stable and Reliable Short-Path Routing Scheme for Efficient Acoustic Wireless Sensor Networks (AWSNs). IEEE Access 8: 1458-1474 (2020) - [c5]Abdulrahman Alsari, Rizwan Qureshi, Abdullah M. Algarni:
Agile Framework To Transform Traditional Team. FIE 2020: 1-9 - [c4]Xinqi Fan, Rizwan Qureshi, Ali Raza Shahid, Jianfeng Cao, Luoxiao Yang, Hong Yan:
Hybrid Separable Convolutional Inception Residual Network for Human Facial Expression Recognition. ICMLC 2020: 21-26
2010 – 2019
- 2019
- [j4]Rizwan Qureshi, Mehmood Nawaz, Avirup Ghosh, Hong Yan:
Parametric Models for Understanding Atomic Trajectories in Different Domains of Lung Cancer Causing Protein. IEEE Access 7: 67551-67563 (2019) - [j3]Rizwan Qureshi, Muhammad Uzair, Khurram Khurshid, Hong Yan:
Hyperspectral document image processing: Applications, challenges and future prospects. Pattern Recognit. 90: 12-22 (2019) - [j2]Mehmood Nawaz, Sheheryar Khan, Rizwan Qureshi, Hong Yan:
Clustering based one-to-one hypergraph matching with a large number of feature points. Signal Process. Image Commun. 74: 289-298 (2019) - [c3]Rizwan Qureshi, Mengxu Zhu, Avirup Ghosh, Hong Yan:
Computational Analysis of Structural Dynamics of EGFR and its Mutants. BIBM 2019: 2784-2791 - 2018
- [c2]Mehmood Nawaz, Sheheryar Khan, Jianfeng Cao, Rizwan Qureshi, Hong Yan:
Saliency detection by using blended membership maps of fast fuzzy-C-mean clustering. ICMV 2018: 1104123 - [c1]Simon M. Tam, Harry Muljono, Min Huang, Sitaraman Iyer, Kalapi Royneogi, Nagmohan Satti, Rizwan Qureshi, Wei Chen, Tom Wang, Hubert Hsieh, Sujal Vora, Eddie Wang:
SkyLake-SP: A 14nm 28-Core xeon® processor. ISSCC 2018: 34-36 - 2017
- [j1]Areej Al-Zaidi, Rizwan Qureshi:
Global software development geographical distance communication challenges. Int. Arab J. Inf. Technol. 14(2): 215-222 (2017)
Coauthor Index
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last updated on 2024-10-23 21:22 CEST by the dblp team
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