Application of machine learning methods in mental health detection: a systematic review

R Abd Rahman, K Omar, SAM Noah… - Ieee …, 2020 - ieeexplore.ieee.org
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 …

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 …

[HTML][HTML] Role of hybrid deep neural networks (HDNNs), computed tomography, and chest X-rays for the detection of COVID-19

M Irfan, MA Iftikhar, S Yasin, U Draz, T Ali… - International Journal of …, 2021 - mdpi.com
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 …

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 …

[HTML][HTML] IoT based smart parking system using deep long short memory network

G Ali, T Ali, M Irfan, U Draz, M Sohail, A Glowacz… - Electronics, 2020 - mdpi.com
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 …

Facial expression recognition: A review

X Guo, Y Zhang, S Lu, Z Lu - Multimedia Tools and Applications, 2024 - Springer
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 …

DarkDeblur: Learning single-shot image deblurring in low-light condition

SMA Sharif, RA Naqvi, F Ali, M Biswas - Expert Systems with Applications, 2023 - Elsevier
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 …

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 …

Foreground extraction based facial emotion recognition using deep learning xception model

A Poulose, CS Reddy, JH Kim… - … on Ubiquitous and …, 2021 - ieeexplore.ieee.org
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 …

Facial expressions of Asian people exposed to constructed urban forests: Accuracy validation and variation assessment

H Guan, H Wei, RJ Hauer, P Liu - PLoS One, 2021 - journals.plos.org
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 …