Lukumon O. Oyedele

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 20

Top Topics

Construction Industry

Top Venues

Adv. Eng. Informatics

IEEE Trans. Engineering Management

Expert Syst. Appl.

Appl. Soft Comput.

Publications

Azeez A. Oyedele, Anuoluwapo O. Ajayi, Lukumon O. Oyedele, Sururah A. Bello, Kudirat O. Jimoh
Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction. Expert Syst. Appl. 213 (Part) (2023)
Abdullahi B. Saka, Lukumon O. Oyedele, Lukman Adéwálé Àkànbí, Sikiru A. Ganiyu, Daniel W. M. Chan, Sururah A. Bello
Conversational artificial intelligence in the AEC industry: A review of present status, challenges and opportunities. Adv. Eng. Informatics 55 (2023)
Juan Manuel Davila Delgado, Lukumon O. Oyedele
Robotics in construction: A critical review of the reinforcement learning and imitation learning paradigms. Adv. Eng. Informatics 54 (2022)
Ashwini Konanahalli, Marina Marinelli, Lukumon O. Oyedele
Drivers and Challenges Associated With the Implementation of Big Data Within U.K. Facilities Management Sector: An Exploratory Factor Analysis Approach. IEEE Trans. Engineering Management 69 (4) (2022)
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)
Rasheed O. Ojo, Anuoluwapo O. Ajayi, Hakeem Owolabi, Lukumon O. Oyedele, Lukman Adéwálé Àkànbí
Internet of Things and Machine Learning techniques in poultry health and welfare management: A systematic literature review. Comput. Electron. Agric. 200 (2022)
Juan Manuel Davila Delgado, Lukumon O. Oyedele
Digital Twins for the built environment: learning from conceptual and process models in manufacturing. Adv. Eng. Informatics 49 (2021)
Bernard Ijesunor Akhigbe, Kamran Munir, Olúgbénga O. Akinadé, Lukman Adéwálé Àkànbí, Lukumon O. Oyedele
IoT Technologies for Livestock Management: A Review of Present Status, Opportunities, and Future Trends. Big Data Cogn. Comput. 5 (1) (2021)
Juan Manuel Davila Delgado, Lukumon O. Oyedele
Deep learning with small datasets: using autoencoders to address limited datasets in construction management. Appl. Soft Comput. 112 (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)
X. J. Luo, Lukumon O. Oyedele
Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm. Adv. Eng. Informatics 50 (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)
Juan Manuel Davila Delgado, Lukumon O. Oyedele, Peter Demian, Thomas H. Beach
A research agenda for augmented and virtual reality in architecture, engineering and construction. Adv. Eng. Informatics 45 (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)
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)
Mohammed Agbali, Claudia Trillo, Terrence Fernando, Lukumon O. Oyedele, Isa Ali Ibrahim, Vincent Olaseide Olatunji
Towards a Refined Conceptual Framework Model for a Smart and Sustainable City Assessment. ISC2 (2019)
X. J. Luo, Lukumon O. Oyedele, Anuoluwapo O. Ajayi, Chukwuka G. Monyei, Olúgbénga O. Akinadé, Lukman Adéwálé Àkànbí
Development of an IoT-based big data platform for day-ahead prediction of building heating and cooling demands. Adv. Eng. Informatics 41 (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)
John P. Spillane, Lukumon O. Oyedele, Jason von Meding, Ashwini Konanahalli, Babatunde E. Jaiyeoba, Iyabo K. Tijani
Critical Factors Affecting Effective Management of Site Personnel and Operatives in Confined Site Construction. Int. J. Inf. Technol. Proj. Manag. 4 (2) (2013)