Items where Author is "Machado, P"

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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

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.

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

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

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

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., 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

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

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

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)

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

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)

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., 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

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

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.

This list was generated on Fri Mar 29 07:11:27 2024 UTC.