Lukumon O. Oyedele

According to our database, Lukumon O. Oyedele authored at least 22 papers between 2013 and 2023.

Collaborative distances:

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

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, January, 2023

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Proceedings of the 2019 IEEE International Smart Cities Conference, 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

2013

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