Muhammad Bilal

According to our database, Muhammad Bilal authored at least 21 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A deep learning approach for context-aware citation recommendation using rhetorical zone classification and similarity to overcome cold-start problem.

Muhammad Azeem Abbas, Saheed Ajayi, Muhammad Bilal, Ade Oyegoke, Maruf Pasha, Hafiz Tauqeer Ali

J. Ambient Intell. Humaniz. Comput., January, 2024

Medisure: Towards Assuring Machine Learning-Based Medical Image Classifiers Using Mixup Boundary Analysis.

Adam Byfield, William Poulett, Ben Wallace, Anusha Jose, Shatakshi Tyagi, Smita Shembekar, Adnan Qayyum, Junaid Qadir, Muhammad Bilal

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Privacy-preserving artificial intelligence in healthcare: Techniques and applications.

Nazish Khalid, Adnan Qayyum, Muhammad Bilal, Ala I. Al-Fuqaha, Junaid Qadir

Comput. Biol. Medicine, May, 2023

Multivessel Coronary Artery Segmentation and Stenosis Localisation using Ensemble Learning.

Muhammad Bilal, Dinis Martinho, Reiner Sim, Adnan Qayyum, Hunaid Vohra, Massimo Caputo, Taofeek Akinosho, Sofiat Abioye, Zaheer Khan, Waleed Niaz, Junaid Qadir

CoRR, 2023

Robust Surgical Tools Detection in Endoscopic Videos with Noisy Data.

Adnan Qayyum, Hassan Ali, Massimo Caputo, Hunaid Vohra, Taofeek Akinosho, Sofiat Abioye, Ilhem Berrou, Pawel Capik, Junaid Qadir, Muhammad Bilal

CoRR, 2023

Can We Revitalize Interventional Healthcare with AI-XR Surgical Metaverses?

Adnan Qayyum, Muhammad Bilal, Muhammad Hadi, Pawel Capik, Massimo Caputo, Hunaid Vohra, Ala I. Al-Fuqaha, Junaid Qadir

Proceedings of the IEEE International Conference on Metaverse Computing, 2023

SegCrop: Segmentation-based Dynamic Cropping of Endoscopic Videos to Address Label Leakage in Surgical Tool Detection.

Adnan Qayyum, Muhammad Bilal, Junaid Qadir, Massimo Caputo, Hunaid Vohra, Taofeek Akinosho, Ilhem Berrou, Faatihah Niyi-Odumosu, Michael Loizou, Anuoluwapo O. Ajayi, Sofiat Abioye

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

A scalable deep learning system for monitoring and forecasting pollutant concentration levels on UK highways.

Taofeek Akinosho, Lukumon O. Oyedele, Muhammad Bilal, Ari Yair Barrera-Animas, Abdul-Quayyum Gbadamosi, Oladimeji A. Olawale

Ecol. Informatics, 2022

2021

Use of Transfer Learning and Wavelet Transform for Breast Cancer Detection.

Ahmed Rasheed, Muhammad Shahzad Younis, Junaid Qadir, Muhammad Bilal

CoRR, 2021

Modelling and exploiting taxonomic knowledge for developing mobile learning systems to enhance children's structural and functional categorization.

Muhammad Azeem Abbas, Gwo-Jen Hwang, Saheed Ajayi, Ghulam Mustafa, Muhammad Bilal

Comput. Educ. Artif. Intell., 2021

Deep learning and Boosted trees for injuries prediction in power infrastructure projects.

Ahmed Oyedele, Anuoluwapo O. Ajayi, Lukumon O. Oyedele, Juan Manuel Davila Delgado, Lukman Adéwálé Àkànbí, Olúgbénga O. Akinadé, Hakeem Owolabi, Muhammad Bilal

Appl. Soft Comput., 2021

2020

Predicting Completion Risk in PPP Projects Using Big Data Analytics.

Hakeem Owolabi, Muhammad Bilal, Lukumon O. Oyedele, Hafiz Alaka, Saheed Ajayi, Olúgbénga O. Akinadé

IEEE Trans. Engineering Management, 2020

Big Data with deep learning for benchmarking profitability performance in project tendering.

Muhammad Bilal, Lukumon O. Oyedele

Expert Syst. Appl., 2020

Secure and Robust Machine Learning for Healthcare: A Survey.

Adnan Qayyum, Junaid Qadir, Muhammad Bilal, Ala I. Al-Fuqaha

CoRR, 2020

Guidelines for applied machine learning in construction industry - A case of profit margins estimation.

Muhammad Bilal, Lukumon O. Oyedele

Adv. Eng. Informatics, 2020

2019

A Big Data Analytics Approach for Construction Firms Failure Prediction Models.

Hafiz Alaka, Lukumon O. Oyedele, Hakeem Owolabi, Olúgbénga O. Akinadé, Muhammad Bilal, Saheed Ajayi

IEEE Trans. Engineering Management, 2019

Unsupervised Adversarial Domain Adaptation for Cross-Lingual Speech Emotion Recognition.

Siddique Latif, Junaid Qadir, Muhammad Bilal

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

2018

Systematic review of bankruptcy prediction models: Towards a framework for tool selection.

Hafiz Alaka, Lukumon O. Oyedele, Hakeem Owolabi, Vikas Kumar, Saheed Ajayi, Olúgbénga O. Akinadé, Muhammad Bilal

Expert Syst. Appl., 2018

2016

Big Data in the construction industry: A review of present status, opportunities, and future trends.

Muhammad Bilal, Lukumon O. Oyedele, Junaid Qadir, Kamran Munir, Saheed Ajayi, Olúgbénga O. Akinadé, Hakeem Owolabi, Hafiz Alaka, Maruf Pasha

Adv. Eng. Informatics, 2016

2015

Bankruptcy Prediction of Construction Businesses: Towards a Big Data Analytics Approach.

Hafiz Alaka, Lukumon O. Oyedele, Muhammad Bilal, Olúgbénga O. Akinadé, Hakeem Owolabi, Saheed Ajayi

Proceedings of the First IEEE International Conference on Big Data Computing Service and Applications, 2015

2014

SDNs, Clouds, and Big Data: New Opportunities.

Junaid Qadir, Nauman Ahad, Erum Mushtaq, Muhammad Bilal

Proceedings of the 12th International Conference on Frontiers of Information Technology, 2014