Critical Factors Affecting Effective Management of Site Personnel and Operatives in Confined Site Construction. - John P. Spillane; Lukumon O. Oyedele; Jason von Meding; Ashwini Konanahalli; Babatunde E. Jaiyeoba; Iyabo K. Tijani (Int. J. Inf. Technol. Proj. Manag., 2013)

Bankruptcy Prediction of Construction Businesses: Towards a Big Data Analytics Approach. - Hafiz Alaka; Lukumon O. Oyedele; Muhammad Bilal 005; Olúgbénga O. Akinadé; Hakeem Owolabi; Saheed Ajayi (BigDataService, 2015)

Big Data in the construction industry: A review of present status, opportunities, and future trends. - Muhammad Bilal 005; Lukumon O. Oyedele; Junaid Qadir 001; Kamran Munir; Saheed Ajayi; Olúgbénga O. Akinadé; Hakeem Owolabi; Hafiz Alaka; Maruf Pasha (Adv. Eng. Informatics, 2016)

Systematic review of bankruptcy prediction models: Towards a framework for tool selection. - Hafiz Alaka; Lukumon O. Oyedele; Hakeem Owolabi; Vikas Kumar 001; Saheed Ajayi; Olúgbénga O. Akinadé; Muhammad Bilal 005 (Expert Syst. Appl., 2018)

Towards a Refined Conceptual Framework Model for a Smart and Sustainable City Assessment. - Mohammed Agbali; Claudia Trillo; Terrence Fernando; Lukumon O. Oyedele; Isa Ali Ibrahim; Vincent Olaseide Olatunji (ISC2, 2019)

Development of an IoT-based big data platform for day-ahead prediction of building heating and cooling demands. - X. J. Luo; Lukumon O. Oyedele; Anuoluwapo O. Ajayi; Chukwuka G. Monyei; Olúgbénga O. Akinadé; Lukman Adéwálé Àkànbí (Adv. Eng. Informatics, 2019)

A Big Data Analytics Approach for Construction Firms Failure Prediction Models. - Hafiz Alaka; Lukumon O. Oyedele; Hakeem Owolabi; Olúgbénga O. Akinadé; Muhammad Bilal 005; Saheed Ajayi (IEEE Trans. Engineering Management, 2019)

Guidelines for applied machine learning in construction industry - A case of profit margins estimation. - Muhammad Bilal 005; Lukumon O. Oyedele (Adv. Eng. Informatics, 2020)

A research agenda for augmented and virtual reality in architecture, engineering and construction. - Juan Manuel Davila Delgado; Lukumon O. Oyedele; Peter Demian; Thomas H. Beach (Adv. Eng. Informatics, 2020)

Big Data with deep learning for benchmarking profitability performance in project tendering. - Muhammad Bilal 005; Lukumon O. Oyedele (Expert Syst. Appl., 2020)

Predicting Completion Risk in PPP Projects Using Big Data Analytics. - Hakeem Owolabi; Muhammad Bilal 005; Lukumon O. Oyedele; Hafiz Alaka; Saheed Ajayi; Olúgbénga O. Akinadé (IEEE Trans. Engineering Management, 2020)

Digital Twins for the built environment: learning from conceptual and process models in manufacturing. - Juan Manuel Davila Delgado; Lukumon O. Oyedele (Adv. Eng. Informatics, 2021)

Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm. - X. J. Luo; Lukumon O. Oyedele (Adv. Eng. Informatics, 2021)

Deep learning with small datasets: using autoencoders to address limited datasets in construction management. - Juan Manuel Davila Delgado; Lukumon O. Oyedele (Appl. Soft Comput., 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 005 (Appl. Soft Comput., 2021)

IoT Technologies for Livestock Management: A Review of Present Status, Opportunities, and Future Trends. - Bernard Ijesunor Akhigbe; Kamran Munir; Olúgbénga O. Akinadé; Lukman Adéwálé Àkànbí; Lukumon O. Oyedele (Big Data Cogn. Comput., 2021)

Robotics in construction: A critical review of the reinforcement learning and imitation learning paradigms. - Juan Manuel Davila Delgado; Lukumon O. Oyedele (Adv. Eng. Informatics, 2022)

Internet of Things and Machine Learning techniques in poultry health and welfare management: A systematic literature review. - Rasheed O. Ojo; Anuoluwapo O. Ajayi; Hakeem Owolabi; Lukumon O. Oyedele; Lukman Adéwálé Àkànbí (Comput. Electron. Agric., 2022)

A scalable deep learning system for monitoring and forecasting pollutant concentration levels on UK highways. - Taofeek Akinosho; Lukumon O. Oyedele; Muhammad Bilal 005; Ari Yair Barrera-Animas; Abdul-Quayyum Gbadamosi; Oladimeji A. Olawale (Ecol. Informatics, 2022)

Drivers and Challenges Associated With the Implementation of Big Data Within U.K. Facilities Management Sector: An Exploratory Factor Analysis Approach. - Ashwini Konanahalli; Marina Marinelli; Lukumon O. Oyedele (IEEE Trans. Engineering Management, 2022)

Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction. - Azeez A. Oyedele; Anuoluwapo O. Ajayi; Lukumon O. Oyedele; Sururah A. Bello; Kudirat O. Jimoh (Expert Syst. Appl., 2023)

Conversational artificial intelligence in the AEC industry: A review of present status, challenges and opportunities. - Abdullahi B. Saka; Lukumon O. Oyedele; Lukman Adéwálé Àkànbí; Sikiru A. Ganiyu; Daniel W. M. Chan; Sururah A. Bello (Adv. Eng. Informatics, 2023)

Big data innovation and implementation in projects teams: towards a SEM approach to conflict prevention. - Hakeem Owolabi; Azeez A. Oyedele; Lukumon O. Oyedele; Hafiz Alaka; Oladimeji A. Olawale; Oluseyi Aju; Lukman Adéwálé Àkànbí; Sikiru A. Ganiyu (Inf. Technol. People, 2025)