| 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 | 114 | 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 | 31 | 2021 |
| 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 |
| 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 | 18 | 2018 |
| 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 | 13 | 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 | 11 | 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 | 10 | 2020 |
| 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 | 9 | 2023 |
| 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 | 8 | 2016 |
| A dynamic segmentation based activity discovery through topic modelling IK Ihianle, U Naeem, AR Tawil IET Digital Library, 2015 | 8* | 2015 |
| 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 | 4 | 2017 |
| Ontology-driven activity recognition from patterns of object use IK Ihianle, U Naeem, S Islam ACM International Joint Conference on Pervasive and Ubiquitous Computing …, 2017 | 4 | 2017 |
| Towards achieving thermal comfort through physiologically controlled HVAC system IK Ihianle, P Machado, K Owa, DA Adama 2022 International Conference Automatics and Informatics (ICAI), 245-249, 2022 | 3 | 2022 |
| 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 | 3 | 2022 |
| UDEEP: Edge-based Computer Vision for In-Situ Underwater Crayfish and Plastic Detection D Monari, J Larkin, P Machado, JJ Bird, IK Ihianle, SW Yahaya, FF Tash, ... arXiv preprint arXiv:2401.06157, 2023 | 2 | 2023 |
| Exploring the Role of Fear in Human Decision Making P Kelly, DA Adama, IK Ihianle, P Machado, RI Otuka Proceedings of the 16th International Conference on PErvasive Technologies …, 2023 | 2 | 2023 |
| 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 | 2 | 2023 |
| 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 | 2 | 2022 |
| Real-time gesture recognition with virtual glove markers F McKinnon, DA Adama, P Machado, IK Ihianle Proceedings of the 15th International Conference on PErvasive Technologies …, 2022 | 2 | 2022 |
| Estimating the Power Consumption of Heterogeneous Devices When Performing AI Inference I Matic, F de Lemos, DIK Ihianle, DDA Adama, P Machado Available at SSRN 4198805, 2022 | 2 | 2022 |
Dr. Pedro MachadoLecturer, Department of Computer Science, Nottingham Trent UniversityПотвърден имейл адрес: ntu.ac.uk