Muhammad Bilal

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 16

Top Topics

Coronary Artery

Bankruptcy Prediction

Top Venues

IEEE Trans. Engineering Management

Adv. Eng. Informatics

Expert Syst. Appl.

Publications

Muhammad Azeem Abbas, Saheed Ajayi, Muhammad Bilal, Ade Oyegoke, Maruf Pasha, Hafiz Tauqeer Ali
A deep learning approach for context-aware citation recommendation using rhetorical zone classification and similarity to overcome cold-start problem. J. Ambient Intell. Humaniz. Comput. 15 (1) (2024)
Muhammad Bilal, Dinis Martinho, Reiner Sim, Adnan Qayyum, Hunaid Vohra, Massimo Caputo, Taofeek Akinosho, Sofiat Abioye, Zaheer Khan, Waleed Niaz, Junaid Qadir
Multivessel Coronary Artery Segmentation and Stenosis Localisation using Ensemble Learning. CoRR (2023)
Adnan Qayyum, Muhammad Bilal, Junaid Qadir, Massimo Caputo, Hunaid Vohra, Taofeek Akinosho, Ilhem Berrou, Faatihah Niyi-Odumosu, Michael Loizou, Anuoluwapo O. Ajayi, Sofiat Abioye
SegCrop: Segmentation-based Dynamic Cropping of Endoscopic Videos to Address Label Leakage in Surgical Tool Detection. ISBI (2023)
Adnan Qayyum, Muhammad Bilal, Muhammad Hadi, Pawel Capik, Massimo Caputo, Hunaid Vohra, Ala I. Al-Fuqaha, Junaid Qadir
Can We Revitalize Interventional Healthcare with AI-XR Surgical Metaverses? MetaCom (2023)
Adam Byfield, William Poulett, Ben Wallace, Anusha Jose, Shatakshi Tyagi, Smita Shembekar, Adnan Qayyum, Junaid Qadir, Muhammad Bilal
MedISure: Towards Assuring Machine Learning-based Medical Image Classifiers using Mixup Boundary Analysis. CoRR (2023)
Taofeek D. Akinosho, Lukumon O. Oyedele, Muhammad Bilal, Ari Y. Barrera-Animas, Abdul-Quayyum Gbadamosi, Oladimeji A. Olawale
A scalable deep learning system for monitoring and forecasting pollutant concentration levels on UK highways. Ecol. Informatics 69 (2022)
Muhammad Azeem Abbas, Gwo-Jen Hwang, Saheed Ajayi, Ghulam Mustafa, Muhammad Bilal
Modelling and exploiting taxonomic knowledge for developing mobile learning systems to enhance children's structural and functional categorization. Comput. Educ. Artif. Intell. 2 (2021)
Ahmed Oyedele, Anuoluwapo O. Ajayi, Lukumon O. Oyedele, Juan Manuel Davila Delgado, Lukman Adéwálé Àkànbí, Olúgbénga O. Akinadé, Hakeem Owolabi, Muhammad Bilal
Deep learning and Boosted trees for injuries prediction in power infrastructure projects. Appl. Soft Comput. 110 (2021)
Hakeem Owolabi, Muhammad Bilal, Lukumon O. Oyedele, Hafiz Alaka, Saheed Ajayi, Olúgbénga O. Akinadé
Predicting Completion Risk in PPP Projects Using Big Data Analytics. IEEE Trans. Engineering Management 67 (2) (2020)
Muhammad Bilal, Lukumon O. Oyedele
Big Data with deep learning for benchmarking profitability performance in project tendering. Expert Syst. Appl. 147 (2020)
Muhammad Bilal, Lukumon O. Oyedele
Guidelines for applied machine learning in construction industry - A case of profit margins estimation. Adv. Eng. Informatics 43 (2020)
Siddique Latif, Junaid Qadir, Muhammad Bilal
Unsupervised Adversarial Domain Adaptation for Cross-Lingual Speech Emotion Recognition. ACII (2019)
Hafiz Alaka, Lukumon O. Oyedele, Hakeem Owolabi, Olúgbénga O. Akinadé, Muhammad Bilal, Saheed Ajayi
A Big Data Analytics Approach for Construction Firms Failure Prediction Models. IEEE Trans. Engineering Management 66 (4) (2019)
Siddique Latif, Junaid Qadir, Muhammad Bilal
Unsupervised Adversarial Domain Adaptation for Cross-Lingual Speech Emotion Recognition. CoRR (2019)
Hafiz Alaka, Lukumon O. Oyedele, Hakeem Owolabi, Vikas Kumar, Saheed Ajayi, Olúgbénga O. Akinadé, Muhammad Bilal
Systematic review of bankruptcy prediction models: Towards a framework for tool selection. Expert Syst. Appl. 94 (2018)
Muhammad Bilal, Lukumon O. Oyedele, Junaid Qadir, Kamran Munir, Saheed Ajayi, Olúgbénga O. Akinadé, Hakeem Owolabi, Hafiz Alaka, Maruf Pasha
Big Data in the construction industry: A review of present status, opportunities, and future trends. Adv. Eng. Informatics 30 (3) (2016)
Hafiz Alaka, Lukumon O. Oyedele, Muhammad Bilal, Olúgbénga O. Akinadé, Hakeem Owolabi, Saheed Ajayi
Bankruptcy Prediction of Construction Businesses: Towards a Big Data Analytics Approach. BigDataService (2015)