Prediction of cost and duration of building construction using artificial neural network

JA Ujong, EM Mbadike, GU Alaneme - Asian Journal of Civil Engineering, 2022 - Springer
In this research study, the investigation of building details on the construction project cost
and duration using artificial neural networks (ANNs) which possesses the ability to …

Scheffe's simplex optimization of flexural strength of quarry dust and sawdust ash pervious concrete for sustainable pavement construction

DE Ewa, JO Ukpata, ON Otu, ZA Memon, GU Alaneme… - Materials, 2023 - mdpi.com
Pervious concrete provides a tailored surface course with high permeability properties which
permit the easy flow of water through a larger interconnected porous structure to prevent …

Application of neural networks and neuro-fuzzy models in construction scheduling

JI Obianyo, RC Udeala, GU Alaneme - Scientific Reports, 2023 - nature.com
Construction scheduling is a complex process that involves a large number of variables,
making it difficult to develop accurate and efficient schedules. Traditional scheduling …

Effects of aggregate sizes on the performance of laterized concrete

JO Ukpata, DE Ewa, NG Success, GU Alaneme… - Scientific Reports, 2024 - nature.com
Due to the high costs of traditional concrete materials in Nigeria, such as river sand, there is
an increasing demand to explore alternative materials like laterite for fine aggregates …

A novel YOLOv8-GAM-Wise-IoU model for automated detection of bridge surface cracks

C Xiong, T Zayed, EM Abdelkader - Construction and Building Materials, 2024 - Elsevier
Hong Kong, among the world's most densely populated cities, has witnessed rapid growth in
traffic volume, resulting in increased traffic density and vehicle loads. Regular bridge …

[HTML][HTML] ASR crack identification in bridges using deep learning and texture analysis

A Nguyen, V Gharehbaghi, NT Le, L Sterling… - Structures, 2023 - Elsevier
Abstract Alkali-Silica Reaction (ASR), commonly known as 'concrete cancer,'is an expansive
reaction occurring over time between aggregate constituents and alkaline hydroxides from …

A Comprehensive Review of Virtual E-Learning System Challenges

JB Idoko, J Palmer - Machine Learning and the Internet of Things in …, 2023 - Springer
The development of advanced smart electronic devices and application in the twenty-first
century has made the World Wide Web a learning platform and easy dissemination of …

Deep Learning for Concrete Crack Detection and Measurement

MA Nyathi, J Bai, ID Wilson - Metrology, 2024 - mdpi.com
Concrete structures inevitably experience cracking, which is a common form of damage. If
cracks are left undetected and allowed to worsen, catastrophic failures, with costly …

The Emerging Benefits of Gamification Techniques

JB Idoko - Machine Learning and the Internet of Things in …, 2023 - Springer
Academic institutes, health institutions, and other companies utilize a variety of methods and
processes in the improvement of their services, hence improving the experience of their …

Machine learning based cardless atm using voice recognition techniques

JB Idoko, M Mohammed, AU Mohammed - … and the Internet of Things in …, 2023 - Springer
Abstract Automatic Teller Machines (ATMs) are machines used for banking activities or
personal and business transactions. It can be used without the support of banking staff. Due …