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Muhammad Muneeb
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2020 – today
- 2023
- [j13]Maryam Qamar, Suleman Qamar, Muhammad Muneeb, Sung-Ho Bae, Anis Ur Rahman:
Saliency Prediction in Uncategorized Videos Based on Audio-Visual Correlation. IEEE Access 11: 15460-15470 (2023) - [j12]Zeeshan Raza, Irfan Ul Haq, Muhammad Muneeb:
Agri-4-All: A Framework for Blockchain Based Agricultural Food Supply Chains in the Era of Fourth Industrial Revolution. IEEE Access 11: 29851-29867 (2023) - [j11]Ahsan Baidar Bakht, Sajid Javed, Syed Qasim Gilani, Hamad Karki, Muhammad Muneeb, Naoufel Werghi:
DeepBLS: Deep Feature-Based Broad Learning System for Tissue Phenotyping in Colorectal Cancer WSIs. J. Digit. Imaging 36(4): 1653-1662 (2023) - [c4]Muhammad Muneeb, Hammad Rustam, Ahmad Jalal:
Automate Appliances via Gestures Recognition for Elderly Living Assistance. ICACS 2023: 1-6 - 2022
- [j10]Muhammad Muneeb, Zeeshan Raza, Irfan Ul Haq, M. Omair Shafique:
SmartCon: A Blockchain-Based Framework for Smart Contracts and Transaction Management. IEEE Access 10: 10719-10730 (2022) - [j9]Jawad-ur-Rehman Chughtai, Irfan Ul Haq, M. Omair Shafiq, Muhammad Muneeb:
Travel Time Prediction Using Hybridized Deep Feature Space and Machine Learning Based Heterogeneous Ensemble. IEEE Access 10: 98127-98139 (2022) - [j8]Noureen Zafar, Irfan Ul Haq, Huniya Sohail, Jawad-ur-Rehman Chughtai, Muhammad Muneeb:
Traffic Prediction in Smart Cities Based on Hybrid Feature Space. IEEE Access 10: 134333-134348 (2022) - [j7]Muhammad Muneeb, Samuel F. Feng, Andreas Henschel:
Transfer learning for genotype-phenotype prediction using deep learning models. BMC Bioinform. 23(1): 511 (2022) - [j6]Muhammad Muneeb, Samuel F. Feng, Andreas Henschel:
Can We Convert Genotype Sequences Into Images for Cases/Controls Classification? Frontiers Bioinform. 2 (2022) - [j5]Muhammad Muneeb:
Method to integrate speaker identification, speech recognition, and information retrieval algorithms for speaker-based information retrieval. Int. J. Knowl. Eng. Data Min. 7(3/4): 234-251 (2022) - [c3]Muhammad Muneeb, Samuel F. Feng, Andreas Henschel:
Heritability, genetic variation, and the number of risk SNPs effect on deep learning and polygenic risk scores AUC. ICBBT 2022: 65-71 - [i1]Muhammad Muneeb, Samuel F. Feng, Andreas Henschel:
Deep learning pipeline for image classification on mobile phones. CoRR abs/2206.00105 (2022) - 2021
- [j4]Muhammad Muneeb, Andreas Henschel:
Eye-color and Type-2 diabetes phenotype prediction from genotype data using deep learning methods. BMC Bioinform. 22(1): 198 (2021) - [j3]Muhammad Muneeb, Andreas Henschel:
Correction to: Eye‑color and Type‑2 diabetes phenotype prediction from genotype data using deep learning methods. BMC Bioinform. 22(1): 319 (2021) - [j2]Zeeshan Raza, Irfan Ul Haq, Muhammad Muneeb, M. Omair Shafiq:
Energy Efficient Multiprocessing Solo Mining Algorithms for Public Blockchain Systems. Sci. Program. 2021: 9996132:1-9996132:13 (2021) - [c2]Muhammad Muneeb, Su-Chong Joo, Gyu-Sung Ham, Kwang-Man Ko:
An Elastic Blockchain IoT-based Intelligent Edge-Fog Collaboration Computing Platform. ISEEIE 2021: 447-451
2010 – 2019
- 2017
- [j1]Ruijun Wang, Anton Vasiliev, Muhammad Muneeb, Aditya Malik, Stephan Sprengel, Gerhard Böhm, Markus-Christian Amann, Ieva Simonyte, Augustinas Vizbaras, Kristijonas Vizbaras, Roel Baets, Gunther Roelkens:
III-V-on-Silicon Photonic Integrated Circuits for Spectroscopic Sensing in the 2-4 μm Wavelength Range. Sensors 17(8): 1788 (2017) - [c1]Abdul Rahim, Bahawal Haq, Muhammad Muneeb, Antonio Ribeiro, Roel Baets, Wim Bogaerts:
16×25 GHz Optical OFDM Demultiplexer in a 220nm Silicon Photonics Platform using a Parallel-Serial Filter Approach. ECOC 2017: 1-3
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