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Neural decoding of EEG signals with machine learning: a systematic review
Electroencephalography (EEG) is a non-invasive technique used to record the brain's
evoked and induced electrical activity from the scalp. Artificial intelligence, particularly …
evoked and induced electrical activity from the scalp. Artificial intelligence, particularly …
[HTML][HTML] COVID-19 and urban planning: Built environment, health, and well-being in Greek cities before and during the pandemic
Abstract The coronavirus disease (COVID-19) pandemic has led to dramatic changes in
quality of life, bringing to the forefront of the debate the question of planning and design of …
quality of life, bringing to the forefront of the debate the question of planning and design of …
Neural decoding of visual information across different neural recording modalities and approaches
Vision plays a peculiar role in intelligence. Visual information, forming a large part of the
sensory information, is fed into the human brain to formulate various types of cognition and …
sensory information, is fed into the human brain to formulate various types of cognition and …
The impact of weather condition and social activity on COVID-19 transmission in the United States
Abstract The coronavirus disease 2019 (COVID-19) has been first reported in December
2019 and rapidly spread worldwide. As other severe acute respiratory syndromes, it is a …
2019 and rapidly spread worldwide. As other severe acute respiratory syndromes, it is a …
Patterns and correlates of mental healthcare utilization during the COVID-19 pandemic among individuals with pre-existing mental disorder
How did mental healthcare utilization change during the COVID-19 pandemic period among
individuals with pre-existing mental disorder? Understanding utilization patterns of these at …
individuals with pre-existing mental disorder? Understanding utilization patterns of these at …
Assessing pain research: a narrative review of emerging pain methods, their technosocial implications, and opportunities for multidisciplinary approaches
SE Berger, AT Baria - Frontiers in Pain Research, 2022 - frontiersin.org
Pain research traverses many disciplines and methodologies. Yet, despite our
understanding and field-wide acceptance of the multifactorial essence of pain as a sensory …
understanding and field-wide acceptance of the multifactorial essence of pain as a sensory …
Protoformer: Embedding prototypes for transformers
Transformers have been widely applied in text classification. Unfortunately, real-world data
contain anomalies and noisy labels that cause challenges for state-of-art Transformers. This …
contain anomalies and noisy labels that cause challenges for state-of-art Transformers. This …
Am I Hurt?: evaluating psychological pain detection in Hindi text using transformer-based models
NLP and Deep Learning (DL) have gained popularity, and there is a growing interest in
investigating these technologies to aid in pain diagnosis utilizing textual data. An emerging …
investigating these technologies to aid in pain diagnosis utilizing textual data. An emerging …
The psychological distress and COVID-19 pandemic during lockdown: A cross-sectional study from United Arab Emirates (UAE)
R Abdelrahman, ME Ismail - Heliyon, 2022 - cell.com
Background The pandemic resulted in the societal changes as conflicts and instability were
the common concerns experienced by families because of the lockdown. However, the …
the common concerns experienced by families because of the lockdown. However, the …
A cross-modal study of pain across communities in the united states
Pain is one of the most prevalent reasons for seeking medical attention in the United States.
Understanding how different communities report and express pain can aid in directing …
Understanding how different communities report and express pain can aid in directing …