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Application of machine learning methods in mental health detection: a systematic review
This paper presents a critical assessment analysis on mental health detection in Online
Social Networks (OSNs) based on the data sources, machine learning techniques, and …
Social Networks (OSNs) based on the data sources, machine learning techniques, and …
Progress, achievements, and challenges in multimodal sentiment analysis using deep learning: A survey
A Pandey, DK Vishwakarma - Applied Soft Computing, 2024 - Elsevier
Sentiment analysis is a computational technique that analyses the subjective information
conveyed within a given expression. This encompasses appraisals, opinions, attitudes or …
conveyed within a given expression. This encompasses appraisals, opinions, attitudes or …
[HTML][HTML] Role of hybrid deep neural networks (HDNNs), computed tomography, and chest X-rays for the detection of COVID-19
COVID-19 syndrome has extensively escalated worldwide with the induction of the year
2020 and has resulted in the illness of millions of people. COVID-19 patients bear an …
2020 and has resulted in the illness of millions of people. COVID-19 patients bear an …
An overview of emotion in artificial intelligence
G Assunção, B Patrão… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The field of artificial intelligence (AI) has gained immense traction over the past decade,
producing increasingly successful applications as research strives to understand and exploit …
producing increasingly successful applications as research strives to understand and exploit …
[HTML][HTML] IoT based smart parking system using deep long short memory network
Traffic congestion is one of the most notable urban transport problems, as it causes high
energy consumption and air pollution. Unavailability of free parking spaces is one of the …
energy consumption and air pollution. Unavailability of free parking spaces is one of the …
Facial expression recognition: A review
Facial expression recognition has become a hot issue in the field of artificial intelligence. So,
we collect literature on facial expression recognition. First, methods based on machine …
we collect literature on facial expression recognition. First, methods based on machine …
DarkDeblur: Learning single-shot image deblurring in low-light condition
Single-shot image deblurring in a low-light condition is known to be a profoundly
challenging image translation task. This study tackles the limitations of the low-light image …
challenging image translation task. This study tackles the limitations of the low-light image …
Facial expression recognition using machine learning and deep learning techniques: A systematic review
M Mohana, P Subashini - SN Computer Science, 2024 - Springer
In the contemporary era, Facial Expression Recognition (FER) plays a pivotal role in
numerous fields due to its vast application areas, such as e-learning, healthcare, marketing …
numerous fields due to its vast application areas, such as e-learning, healthcare, marketing …
Foreground extraction based facial emotion recognition using deep learning xception model
The facial emotion recognition (FER) system has a very significant role in the autonomous
driving system (ADS). In ADS, the FER system identifies the driver's emotions and provides …
driving system (ADS). In ADS, the FER system identifies the driver's emotions and provides …
Facial expressions of Asian people exposed to constructed urban forests: Accuracy validation and variation assessment
An outcome of building sustainable urban forests is that people's well-being is improved
when they are exposed to trees. Facial expressions directly represents one's inner emotions …
when they are exposed to trees. Facial expressions directly represents one's inner emotions …