Dr. Pedro Machado
Dr. Pedro Machado
Lecturer, Department of Computer Science, Nottingham Trent University
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Citado por
Citado por
Energy and performance trade-off optimization in heterogeneous computing via reinforcement learning
Z Yu, P Machado, A Zahid, AM Abdulghani, K Dashtipour, H Heidari, ...
Electronics 9 (11), 1812, 2020
Gesture recognition intermediary robot for abnormality detection in human activities
SW Yahaya, A Lotfi, M Mahmud, P Machado, N Kubota
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1415-1421, 2019
Emulation of chemical stimulus triggered head movement in the C. elegans nematode
A Costalago-Meruelo, P Machado, K Appiah, A Mujika, P Leskovsky, ...
Journal of Neurocomputing, 2018
Si elegans: FPGA Hardware Emulation of C. elegans Nematode Nervous System
P Machado, JJ Wade, TM McGinnity
2014 Sixth World Congress on Nature and Biologically Inspired Computing …, 2014
Object recognition for robotics from tactile time series data utilising different neural network architectures
W Bottcher, P Machado, N Lama, TM McGinnity
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
Sensing and Artificial Perception for Robots in Precision Forestry: A Survey
JF Ferreira, D Portugal, ME Andrada, P Machado, RP Rocha, P Peixoto
Robotics 12 (5), 139, 2023
Benchmarking edge computing devices for grape bunches and trunks detection using accelerated object detection single shot multibox deep learning models
SC Magalhães, FN dos Santos, P Machado, AP Moreira, J Dias
Engineering Applications of Artificial Intelligence 117, 105604, 2023
HSMD: An object motion detection algorithm using a Hybrid Spiking Neural Network Architecture
P Machado, A Oikonomou, JF Ferreira, TM Mcginnity
IEEE Access 9, 125258-125268, 2021
The Si elegans Project – The Challenges and Prospects of Emulating Caenorhabditis elegans
AB Blau, F Callaly, S Cawley, A Coffey, A De Mauro, G Epelde, L Ferrara, ...
Biomimetic and Biohybrid Systems 8608, 436-438, 2014
Natcsnn: A convolutional spiking neural network for recognition of objects extracted from natural images
P Machado, G Cosma, TM McGinnity
Artificial Neural Networks and Machine Learning–ICANN 2019: Theoretical …, 2019
Si elegans: Hardware Architecture and Communications Protocol
P Machado, JJ Wade, K Appiah, TM McGinnity
The 2015 International Joint Conference on Neural Networks, 3473-3479, 2015
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
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
Exploring Neural Principles with Si elegans, a Neuromimetic Representation of the Nematode Caenorhabditis elegans
JW Axel Blau, Frank Callaly, Seamus Cawley, Aedan Coffey, Alessandro de ...
2nd International Congress on Neurotechnology, Electronics and Informatics …, 2014
C. elegans Behavioural Response Germane to Hardware Modelling
K Appiah, P Machado, TM Costalago Meruelo, Alicia, McGinnity
C. elegans Behavioural Response Germane to Hardware Modelling, 4743 - 4750, 2016
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 239, 122490, 2024
Robotics use case scenarios
P Machado, J Bonnell, S Brandenbourg, JF Ferreira, D Portugal, ...
Towards Ubiquitous Low-power Image Processing Platforms, 151-173, 2021
Object classification for robotic platforms
S Brandenburg, P Machado, P Shinde, JF Ferreira, TM McGinnity
Robot 2019: Fourth Iberian Robotics Conference: Advances in Robotics, Volume …, 2020
Si elegans: Modeling the C. elegans Nematode Nervous System Using High Performance FPGAS
P Machado, JJ Wade, TM McGinnity
Advances in Neurotechnology, Electronics and Informatics 12, pp 31-45, 2015
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
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
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