Artificial intelligence: a systematic review of methods and applications in hospitality and tourism
Z Doborjeh, N Hemmington, M Doborjeh… - International Journal of …, 2022 - emerald.com
Purpose Several review articles have been published within the Artificial Intelligence (AI)
literature that have explored a range of applications within the tourism and hospitality …
literature that have explored a range of applications within the tourism and hospitality …
What has social neuroscience learned from hyperscanning studies of spoken communication? A systematic review
A growing body of literature examining the neurocognitive processes of interpersonal
linguistic interaction indicates the emergence of neural alignment as participants engage in …
linguistic interaction indicates the emergence of neural alignment as participants engage in …
NeuroSense: Short-term emotion recognition and understanding based on spiking neural network modelling of spatio-temporal EEG patterns
Emotion recognition still poses a challenge lying at the core of the rapidly growing area of
affective computing and is crucial for establishing a successful human–computer interaction …
affective computing and is crucial for establishing a successful human–computer interaction …
[HTML][HTML] Artificial intelligence in prediction of mental health disorders induced by the COVID-19 pandemic among health care workers
Abstract The coronavirus disease 2019 (COVID-19) pandemic and its immediate aftermath
present a serious threat to the mental health of health care workers (HCWs), who may …
present a serious threat to the mental health of health care workers (HCWs), who may …
Spiking neural networks for computational intelligence: an overview
Deep neural networks with rate-based neurons have exhibited tremendous progress in the
last decade. However, the same level of progress has not been observed in research on …
last decade. However, the same level of progress has not been observed in research on …
Memory-inspired spiking hyperdimensional network for robust online learning
Recently, brain-inspired computing models have shown great potential to outperform today's
deep learning solutions in terms of robustness and energy efficiency. Particularly, Spiking …
deep learning solutions in terms of robustness and energy efficiency. Particularly, Spiking …
Human-scale brain simulation via supercomputer: a case study on the cerebellum
T Yamazaki, J Igarashi, H Yamaura - Neuroscience, 2021 - Elsevier
Performance of supercomputers has been steadily and exponentially increasing for the past
20 years, and is expected to increase further. This unprecedented computational power …
20 years, and is expected to increase further. This unprecedented computational power …
Towards machine learning driven self-guided virtual reality exposure therapy based on arousal state detection from multimodal data
Virtual-reality exposure therapy (VRET) is a novel intervention technique that allows
individuals to experience anxiety evoking stimuli in a safe environment, to recognise specific …
individuals to experience anxiety evoking stimuli in a safe environment, to recognise specific …
Depression identification using eeg signals via a hybrid of lstm and spiking neural networks
Depression severity can be classified into distinct phases based on the Beck depression
inventory (BDI) test scores, a subjective questionnaire. However, quantitative assessment of …
inventory (BDI) test scores, a subjective questionnaire. However, quantitative assessment of …
Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning
Virtual reality exposure therapy (VRET) is a novel intervention technique that allows
individuals to experience anxiety-evoking stimuli in a safe environment, recognise specific …
individuals to experience anxiety-evoking stimuli in a safe environment, recognise specific …