Items where Author is "Machado, P"

Journal article

IHIANLE, I.K., MACHADO, P., OWA, K., ADAMA, D.A., OTUKA, R. and LOTFI, A., 2024. Minimising redundancy, maximising relevance: HRV feature selection for stress classification. Expert Systems with Applications, 239: 122490. ISSN 0957-4174

FONTES, L., MACHADO, P., VINKEMEIER, D., YAHAYA, S., BIRD, J.J. and IHIANLE, I.K., 2024. Enhancing stress detection: a comprehensive approach through rPPG analysis and deep learning techniques. Sensors, 24 (4): 1096. ISSN 1424-8220

FERREIRA, J.F., PORTUGAL, D., ANDRADA, M.E., MACHADO, P., ROCHA, R.P. and PEIXOTO, P., 2023. Sensing and artificial perception for robots in precision forestry: a survey. Robotics, 12 (5): 139. ISSN 2218-6581

MACHADO, P., FERREIRA, J.F., OIKONOMOU, A. and MCGINNITY, T.M., 2023. NeuroHSMD: neuromorphic hybrid spiking motion detector. ACM Transactions on Reconfigurable Technology and Systems, 16 (3): 36. ISSN 1936-7406

MURRAY-HILL, N., FONTES, L., MACHADO, P. and IHIANLE, I.K., 2023. Secure video streaming using dedicated hardware. Journal of Signal Processing Systems. ISSN 1939-8018

MAGALHÃES, S.C., SANTOS, F.N., MACHADO, P., MOREIRA, A.P. and DIAS, J., 2023. Benchmarking edge computing devices for grape bunches and trunks detection using accelerated object detection single shot multibox deep learning models. Engineering Applications of Artificial Intelligence, 117 (Part A): 105604. ISSN 0952-1976

MACHADO, P., OIKONOMOU, A., FERREIRA, J.F. and MCGINNITY, T.M., 2021. HSMD: an object motion detection algorithm using a Hybrid Spiking Neural Network Architecture. IEEE Access. ISSN 2169-3536

YU, Z., MACHADO, P., ZAHID, A., ABDULGHANI, A.M., DASHTIPOUR, K., HEIDARI, H., IMRAN, M.A. and ABBASI, Q.H., 2020. Energy and performance trade-off optimization in heterogeneous computing via reinforcement learning. Electronics, 9 (11): 1812. ISSN 2079-9292

WALLACE, A., PIETRUSZ, A., DEWAR, E., DUDZIEC, M., JONES, K., HENNIS, P., STERR, A., BAIO, G., MACHADO, P., LAURÁ, M., SKORUPINSKA, I., SKORUPINSKA, M., BUTCHER, K., TRENELL, M., REILLY, M.M., HANNA, M. and RAMDHARRY, G.M., 2019. Community exercise is feasible for neuromuscular diseases and can improve aerobic capacity. Neurology, 92 (15), e1773-e1785. ISSN 0028-3878

COSTALAGO-MERUELO, A., MACHADO, P., APPIAH, K., MUJIKA, A., LESKOVSKY, P., ALVAREZ, R., EPELDE, G. and MCGINNITY, T.M., 2018. Emulation of chemical stimulus triggered head movement in the C. elegans nematode. Neurocomputing. ISSN 0925-2312

Chapter in book

SWANN, M., MACHADO, P., IHIANLE, I.K., YAHAYA, S., ZORRIASSATINE, F. and OIKONOMOU, A., 2024. SmartAntenna: enhancing wireless range with autonomous orientation. In: M.N. HUDA, M. WANG and T. KALGANOVA, eds., Towards autonomous robotic systems: 25th annual conference, TAROS 2024, London, UK, August 21–23, 2024, proceedings, part I. Lecture notes in computer science . Cham: Springer. ISBN 9783031720581

GAZZARD, M., HICKS, H., IHIANLE, I.K., BIRD, J.J., HASAN, M.M. and MACHADO, P., 2024. WeedScout: real-time autonomous blackgrass classification and mapping using dedicated hardware. In: M.N. HUDA, M. WANG and T. KALGANOVA, eds., Towards autonomous robotic systems: 25th annual conference, TAROS 2024, London, UK, August 21–23, 2024, proceedings, part I. Lecture notes in computer science . Cham: Springer. ISBN 9783031720581

BORALESSA, K., IHIANLE, I.K., MACHADO, P., YAHAYA, S.W. and LOTFI, A., 2024. Input-adaptation approach for human activity recognition. In: PETRA '24: proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments. New York City: ACM, 369 - 374. ISBN 9798400717604

HASAN, M.M., RAHMAN, M.M., ALI, M.M. and MACHADO, P., 2024. QuantoTrace: quantum error correction as a service for robust quantum computing. In: Proceedings: 6th International Conference on Electrical Engineering and Information and Communication Technology (ICEEICT). IEEE, pp. 616-621. ISBN 9798350385779

BIRD, J.J., IHIANLE, I.K., MACHADO, P., BROWN, D.J. and LOTFI, A., 2023. A neuroevolution approach to keypoint-based sign language fingerspelling classification. In: Proceedings: 2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter). Piscataway: Institute of Electrical and Electronics Engineers, pp. 215-220. ISBN 9798350383829

LIAN, T., ADAMA, D., MACHADO, P. and VINKEMEIER, D., 2023. Supervised contrastive learning with identity-label embeddings for facial action unit recognition. In: 34th British Machine Vision Conference proceedings. British Machine Vision Association.

KELLY, P., ADAMA, D.A., IHIANLE, I.K., MACHADO, P. and OTUKA, R.I., 2023. Exploring the role of fear in human decision making. In: PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments. New York: Association for Computing Machinery (ACM), pp. 505-510. ISBN 9798400700699

POMYKALA, J., DE LEMOS, F., IHIANLE, K., ADAMA, D.A. and MACHADO, P., 2022. Deep learning approach for classifying trusses and runners of strawberries. In: Advances in intelligent systems and computing: proceedings of the 21st UK Workshop on Computational Intelligence (UKCI 2022). Springer.

MCKINNON, F., ADAMA, D.A., MACHADO, P. and IHIANLE, I., 2022. Real-time gesture recognition with virtual glove markers. In: PETRA'22: proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments. ACM. ISBN 9781450396318

MACHADO, P., BONNELL, J., BRANDENBURGH, S., FERREIRA, J.F., PORTUGAL, D. and COUCEIRO, M., 2021. Robotics use case scenarios. In: M. JAHRE, D. GÖHRINGER and P. MILLET, eds., Towards ubiquitous low-power image processing platforms. Cham, Switzerland: Springer, pp. 151-172. ISBN 9783030535315 (Forthcoming)

BÖTTCHER, W., MACHADO, P., LAMA, N. and MCGINNITY, T.M., 2021. Object recognition for robotics from tactile time series data utilising different neural network architectures. In: 2021 International Joint Conference on Neural Networks (IJCNN). IEEE. ISBN 9781665445979

BRANDENBURG, S., MACHADO, P., LAMA, N. and MCGINNITY, T.M., 2020. Strawberry detection using a heterogeneous multi-processor platform. In: Conference proceedings of the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020), Workshop on Perception, Planning and Mobility in Forestry Robotics (WPPMFR 2020). [United States]: IEEE.

YAHAYA, S.W., LOTFI, A., MAHMUD, M., MACHADO, P. and KUBOTA, N., 2020. Gesture recognition intermediary robot for abnormality detection in human activities. In: 2019 IEEE Symposium Series on Computational Intelligence (SSCI). Institute of Electrical and Electronics Engineers (IEEE), pp. 1415-1421. ISBN 9781728124865

SHINDE, P., MACHADO, P., SANTOS, F.N. and MCGINNITY, T.M., 2018. Online object trajectory classification using FPGA-SoC devices. In: UKCI 2018: 18th Annual UK Workshop on Computational Intelligence, Nottingham Trent University, Nottingham, 5-7 September 2-18. Advances in intelligent systems and computing . Springer. (Forthcoming)

APPIAH, K., MACHADO, P., COSTALAGO MERUELO, A. and MCGINNITY, T.M., 2016. C. elegans behavioural response germane to hardware modelling. In: Proceedings of the 2016 IEEE International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, 24-29 July 2016. Piscataway, New Jersey: IEEE, pp. 4743-4750. ISBN 9781509006205

COSTALAGO MERUELO, A., MACHADO, P., APPIAH, K. and MCGINNITY, T.M., 2016. Challenges in clustering C. elegans neurons using computational approaches. In: Proceedings of the 2016 IEEE International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, 24-29 July 2016. Piscataway, New Jersey: IEEE, pp. 4775-4781. ISBN 9781509006205

MACHADO, P., COSTALAGO MERUELO, A., PETRUSHIN, A., FERRARA, L., LAMA, N., ADAMA, D.A., APPIAH, K., BLAU, A. and MCGINNITY, T.M., 2016. Si elegans: evaluation of an innovative optical synaptic connectivity method for C. elegans phototaxis using FPGAs. In: Proceedings of the 2016 IEEE International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, 24-29 July 2016. Piscataway, New Jersey: IEEE, pp. 185-191. ISBN 9781509006205

MACHADO, P., WADE, J. and MCGINNITY, T.M., 2015. Si elegans: Modeling the C. elegans Nematode Nervous System Using High Performance FPGAS. In: A.R. LONDRAL and P. ENCARNAÇÃO, eds., Advances in Neurotechnology, Electronics and Informatics. Biosystems & biorobotics, 12 . Cham, Switzerland: Springer International Publishing, pp. 31-45. ISBN 9783319262406

Conference contribution

BRANDENBURG, S., MACHADO, P., SHINDE, P., FERREIRA, J.F. and MCGINNITY, T.M., 2019. Object classification for robotic platforms. In: ROBOT 2019: Fourth Iberian Robotics Conference, Porto, Portugal, 20-22 November 2019.

MACHADO, P. and COSMA, G., 2019. NatCSNN: a convolutional spiking neural network for recognition of objects extracted from natural images. In: ICANN 2019: 28th International Conference on Artificial Neural Networks, Munich, Germany, 17–19 September 2019. (Forthcoming)

MACHADO, P., OIKONOMOU, A., COSMA, G. and MCGINNITY, T.M., 2018. Bio-inspired ganglion cell models for detecting horizontal and vertical movements. In: 2018 International Joint Conference on Neural Networks (IJCNN 2018), Rio de Janeiro, Brazil, 8-13 July 2018. (Forthcoming)

COSTALAGO MERUELO, A., MACHADO, P., APPIAH, K. and MCGINNITY, T.M., 2015. Si elegans: a computational model of C. elegans muscle response to light. In: 3rd International Congress on Neurotechnology, Electronics and Informatics, Lisbon, Portugal, 2015.

MACHADO, P., WADE, J., APPIAH, K. and MCGINNITY, T.M., 2015. Si elegans: hardware architecture and communications protocol. In: 2015 International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, 12-17 July 2015.