| A Deep Learning Approach for Human Activities Recognition from Multimodal Sensing Devices. IK Ihianle, AO Nwajana, SH Ebenuwa, RI Otuka, K Owa, MO Orisatoki IEEE Open Access, 2020 | 171 | 2020 |
| Image processing system using MATLAB-based analytics GK Ijemaru, AO Nwajana, EU Oleka, RI Otuka, IK Ihianle, SH Ebenuwa, ... Bulletin of Electrical Engineering and Informatics 10 (5), 2566-2577, 2021 | 42 | 2021 |
| Enhancing stress detection: A comprehensive approach through rPPG analysis and deep learning techniques L Fontes, P Machado, D Vinkemeier, S Yahaya, JJ Bird, IK Ihianle Sensors 24 (4), 1096, 2024 | 38 | 2024 |
| Minimising Redundancy, Maximising Relevance: HRV Feature Selection for Stress Classification IK Ihianle, P Machado, K Owa, DA Adama, R Otuka, A Lotfi Expert Systems With Applications, 2023 | 26 | 2023 |
| A hybrid approach to recognising activities of daily living from object use in the home environment IK Ihianle, U Naeem, S Islam, AR Tawil Informatics 5 (1), 6, 2018 | 22 | 2018 |
| Recognition of Activities of Daily Living from Topic Model IK Ihianle, U Naeem, AR Tawil The 7th International Conference on Emerging Ubiquitous Systems and …, 2016 | 22 | 2016 |
| Plant Leaf Disease Detection Using Deep Learning: A Multi-Dataset Approach MS Krishna, P Machado, RI Otuka, SW Yahaya, F Neves dos Santos, ... J 8 (1), 4, 2025 | 20 | 2025 |
| Mitigating adversarial attacks in deepfake detection: An exploration of perturbation and AI techniques S Dhesi, L Fontes, P Machado, IK Ihianle, FF Tash, DA Adama arXiv preprint arXiv:2302.11704, 2023 | 14 | 2023 |
| Symmetric 3dB Filtering Power Divider with Equal Output Power Ratio for Communication Systems AO Nwajana, RI Otuka, SH Ebenuwa, IK Ihianle, SO Aneke, AA Edoh International Conference on Electrical, Communication, and Computer …, 2020 | 12 | 2020 |
| Recognizing activities of daily living from patterns and extraction of web knowledge IK Ihianle, U Naeem, AR Tawil, MA Azam ACM International Joint Conference on Pervasive and Ubiquitous Computing …, 2016 | 9 | 2016 |
| Underwater communication systems and their impact on aquatic life—a survey FPF Domingos, A Lotfi, IK Ihianle, O Kaiwartya, P Machado Electronics 14 (1), 7, 2024 | 8 | 2024 |
| ArtBrain: An Explainable end-to-end Toolkit for Classification and Attribution of AI-Generated Art and Style RSR Silva, A Lotfi, IK Ihianle, G Shahtahmassebi, JJ Bird arXiv preprint arXiv:2412.01512, 2024 | 8 | 2024 |
| A dynamic segmentation based activity discovery through topic modelling IK Ihianle, U Naeem, AR Tawil IET Digital Library, 2015 | 8* | 2015 |
| Secure video streaming using dedicated hardware N Murray-Hill, L Fontes, P Machado, IK Ihianle Journal of Signal Processing Systems 95 (10), 1265-1275, 2023 | 6 | 2023 |
| Deep learning approach for classifying trusses and runners of strawberries J Pomykala, F de Lemos, IK Ihianle, DA Adama, P Machado UK Workshop on Computational Intelligence, 427-435, 2022 | 6 | 2022 |
| Estimating the power consumption of heterogeneous devices when performing AI Inference P Machado, I Matic, F de Lemos, IK Ihianle, DA Adama arXiv preprint arXiv:2207.06150, 2022 | 5 | 2022 |
| Recognising activities of daily living from patterns of object use IK Ihianle, U Naeem, S Islam, AR Tawil International Journal of Hybrid Intelligent Systems 14 (3), 193-208, 2017 | 5 | 2017 |
| Enhancing pollinator conservation: Monitoring of bees through object recognition AJ Alex, CM Barnes, P Machado, I Ihianle, G Markó, M Bencsik, JJ Bird Computers and Electronics in Agriculture 228, 109665, 2025 | 4 | 2025 |
| Weedscout: Real-time autonomous blackgrass classification and mapping using dedicated hardware M Gazzard, H Hicks, IK Ihianle, JJ Bird, MM Hasan, P Machado Annual Conference Towards Autonomous Robotic Systems, 409-421, 2024 | 4 | 2024 |
| Taguchi based design of sequential convolution neural network for classification of defective fasteners M Kaur, KK Chauhan, T Aggarwal, P Bharadwaj, R Vig, IK Ihianle, G Joshi, ... Sentiment Analysis and Deep Learning: Proceedings of ICSADL 2022, 515-527, 2023 | 4 | 2023 |
Dr. Pedro MachadoLecturer, Department of Computer Science, Nottingham Trent UniversityVerified email at ntu.ac.uk
