[HTML][HTML] Cognitive neuroscience and robotics: Advancements and future research directions
In recent years, brain-based technologies that capitalise on human abilities to facilitate
human–system/robot interactions have been actively explored, especially in brain robotics …
human–system/robot interactions have been actively explored, especially in brain robotics …
Quantum machine learning revolution in healthcare: a systematic review of emerging perspectives and applications
Quantum computing (QC) stands apart from traditional computing systems by employing
revolutionary techniques for processing information. It leverages the power of quantum bits …
revolutionary techniques for processing information. It leverages the power of quantum bits …
Heart failure detection using quantum‐enhanced machine learning and traditional machine learning techniques for internet of artificially intelligent medical things
Quantum‐enhanced machine learning plays a vital role in healthcare because of its robust
application concerning current research scenarios, the growth of novel medical trials, patient …
application concerning current research scenarios, the growth of novel medical trials, patient …
Deep learning for predicting respiratory rate from biosignals
In the past decade, deep learning models have been applied to bio-sensors used in a body
sensor network for prediction. Given recent innovations in this field, the prediction accuracy …
sensor network for prediction. Given recent innovations in this field, the prediction accuracy …
[PDF][PDF] Face patterns analysis and recognition system based on Quantum Neural Network QNN
The past few years have witnessed a huge increase in the application of facial recognition,
detection, and analysis technology. However, face recognition systems remain the most …
detection, and analysis technology. However, face recognition systems remain the most …
Improving DWT-RNN model via B-spline wavelet multiresolution to forecast a high-frequency time series
This paper presents a recurrent neural network (RNN) which is improved by using an
efficient discrete wavelet transform (DWT) for predicting a high-frequency time series. In the …
efficient discrete wavelet transform (DWT) for predicting a high-frequency time series. In the …
Quantum Cognition-Inspired EEG-based Recommendation via Graph Neural Networks
Current recommendation systems recommend goods by considering users' historical
behaviors, social relations, ratings, and other multi-modals. Although outdated user …
behaviors, social relations, ratings, and other multi-modals. Although outdated user …
Adaptive neural-fuzzy and backstep** controller for port-Hamiltonian systems
In this paper, a novel control strategy is shown for the stabilisation of dynamic systems in the
form of port-Hamiltonian systems. This hybrid approach composed by a neural fuzzy and …
form of port-Hamiltonian systems. This hybrid approach composed by a neural fuzzy and …
Quantum Neurobiology
M Swan, RP dos Santos, F Witte - Quantum Reports, 2022 - mdpi.com
Quantum neurobiology is concerned with potential quantum effects operating in the brain
and the application of quantum information science to neuroscience problems, the latter of …
and the application of quantum information science to neuroscience problems, the latter of …
Adaptive self-recurrent wavelet neural network and sliding mode controller/observer for a slider crank mechanism
In this paper, a novel control strategy based on an adaptive Self-Recurrent Wavelet Neural
Network (SRWNN) and a sliding mode controller/observer for a slider crank mechanism is …
Network (SRWNN) and a sliding mode controller/observer for a slider crank mechanism is …