A deep learning model for smart manufacturing using convolutional LSTM neural network autoencoders A Essien, C Giannetti IEEE Transactions on Industrial Informatics 16 (9), 6069-6078, 2020 | 223 | 2020 |
A deep-learning model for urban traffic flow prediction with traffic events mined from twitter A Essien, I Petrounias, P Sampaio, S Sampaio World Wide Web 24 (4), 1345-1368, 2021 | 139 | 2021 |
Improving urban traffic speed prediction using data source fusion and deep learning A Essien, I Petrounias, P Sampaio, S Sampaio 2019 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2019 | 65 | 2019 |
A deep learning framework for univariate time series prediction using convolutional LSTM stacked autoencoders A Essien, C Giannetti 2019 IEEE International Symposium on INnovations in Intelligent SysTems and …, 2019 | 61 | 2019 |
The impact of rainfall and temperature on peak and off-peak urban traffic A Essien, I Petrounias, P Sampaio, S Sampaio Database and Expert Systems Applications: 29th International Conference …, 2018 | 24 | 2018 |
Deep-PRESIMM: Integrating deep learning with microsimulation for traffic prediction AE Essien, I Petrounias, P Sampaio, S Sampaio 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 18 | 2019 |
Deep learning in hospitality and tourism: a research framework agenda for future research A Essien, G Chukwukelu International Journal of Contemporary Hospitality Management 34 (12), 4480-4515, 2022 | 14 | 2022 |
Emerging technologies of industry 4.0: Challenges and opportunities MO Okwu, LK Tartibu, C Maware, DR Enarevba, JO Afenogho, A Essien 2022 International Conference on Artificial Intelligence, Big Data …, 2022 | 13 | 2022 |
Towards scalable and reusable predictive models for cyber twins in manufacturing systems C Giannetti, A Essien Journal of Intelligent Manufacturing 33 (2), 441-455, 2022 | 13 | 2022 |
A Scalable Deep Convolutional LSTM Neural Network for Large-Scale Urban Traffic Flow Prediction using Recurrence Plots A Essien, C Godwin, C Giannetti IEEE AFRICON 2019, 1-8, 2019 | 13 | 2019 |
The stochastic aeroelastic response analysis of helicopter rotors using deep and shallow machine learning T Chatterjee, A Essien, R Ganguli, MI Friswell Neural Computing and Applications 33, 16809-16828, 2021 | 10 | 2021 |
AI-Driven Innovation: Leveraging Big Data Analytics for Innovation A Essien Innovation Analytics: Tools for Competitive Advantage, 119-137, 2023 | 9 | 2023 |
A Novel Deep Learning Approach for Event Detection in Smart Manufacturing C Giannetti, A Essien, YO Pang 49th International Conference on Computers & Industrial Engineering, 1-11, 2019 | 9 | 2019 |
Opportunities and challenges of adopting artificial intelligence for learning and teaching in higher education A Essien, G Chukwukelu, V Essien Fostering communication and learning with underutilized technologies in …, 2021 | 5 | 2021 |
An Artificial Intelligence (AI)-Based Decision-Making Framework for Crisis Management AE Essien, I Petrounias Future Role of Sustainable Innovative Technologies in Crisis Management, 84-98, 2022 | 4 | 2022 |
The influence of AI text generators on critical thinking skills in UK business schools A Essien, OT Bukoye, X O’Dea, M Kremantzis Studies in Higher Education, 1-18, 2024 | 3 | 2024 |
TAG-F: A Traffic Predictive Analytics Guidance Framework A Essien PQDT-Global, 2019 | 2 | 2019 |
Enhancing Student Engagement Through Artificial Intelligence (AI): Understanding the Basics, Opportunities, and Challenges A Nguyen, M Kremantzis, A Essien, I Petrounias, S Hosseini Journal of University Teaching and Learning Practice 21 (06), 2024 | 1 | 2024 |
Design and hydrologic performance estimation of highway filter drains using a novel analytical probabilistic model AE Essien, Y Guo, M Khafagy, SE Dickson‐Anderson Scientific reports 14 (1), 2350, 2024 | 1 | 2024 |
How can big data analytics improve outbound logistics in the UK retail sector? A qualitative study M Ali, A Essien Journal of Enterprise Information Management, 2023 | 1 | 2023 |