Lukumon O. Oyedele

发表

IoT for predictive assets monitoring and maintenance: An implementation strategy for the UK rail industry

Lukumon O. Oyedele, Juan Manuel Davila Delgado, Abdul-Quayyum Gbadamosi, 2021 .

Comparative study of machine learning-based multi-objective prediction framework for multiple building energy loads

Lukumon O. Oyedele, Anuoluwapo O. Ajayi, Lukumon O. Oyedele, 2020 .

Cloud computing in construction industry: Use cases, benefits and challenges

Lukumon O. Oyedele, Muhammad Bilal, Anuoluwapo O. Ajayi, 2020 .

Deep learning in the construction industry: A review of present status and future innovations

Lukumon O. Oyedele, Muhammad Bilal, Anuoluwapo O. Ajayi, 2020 .

Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings

Lukumon O. Oyedele, Anuoluwapo O. Ajayi, Juan Manuel Davila Delgado, 2020, Energy and AI.

Disassembly and deconstruction analytics system (D-DAS) for construction in a circular economy

Lukumon O. Oyedele, Muhammad Bilal, Anuoluwapo O. Ajayi, 2019, Journal of Cleaner Production.

Big data for Design Options Repository: Towards a DFMA approach for offsite construction

Lukumon O. Oyedele, Muhammad Bilal, Juan Manuel Davila Delgado, 2020 .

Developing NGO competencies in post-disaster reconstruction: a theoretical framework

Lukumon O. Oyedele, David Cleland, Lukumon O. Oyedele, 2009 .

Deep learning model for Demolition Waste Prediction in a circular economy

Lukumon O. Oyedele, Lukumon O. Oyedele, Rafiu O. Salami, 2020 .

Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings

Lukumon O. Oyedele, Anuoluwapo O. Ajayi, Lukumon O. Oyedele, 2020 .

Dynamic competency theory in post-disaster reconstruction

Jason von Meding, David Cleland, Lukumon O. Oyedele, 2008 .