Automated emotion recognition: Current trends and future perspectives

M Maithri, U Raghavendra, A Gudigar… - Computer methods and …, 2022 - Elsevier
Background Human emotions greatly affect the actions of a person. The automated emotion
recognition has applications in multiple domains such as health care, e-learning …

Adoption of blockchain technology for privacy and security in the context of industry 4.0

S Joshi, AA Pise, M Shrivastava… - Wireless …, 2022 - Wiley Online Library
Compared to centralized and decentralized models, distributed models have the potential to
dramatically expand the scalability of existing IoT and Industry 4.0 solutions while …

Performance analysis of deep learning algorithms in diagnosis of malaria disease

K Hemachandran, A Alasiry, M Marzougui, SM Ganie… - Diagnostics, 2023 - mdpi.com
Malaria is predominant in many subtropical nations with little health-monitoring
infrastructure. To forecast malaria and condense the disease's impact on the population …

Enabling artificial intelligence of things (AIoT) healthcare architectures and listing security issues

AA Pise, KK Almuzaini, TA Ahanger… - Computational …, 2022 - Wiley Online Library
A significant study has been undertaken in the areas of health care and administration of
cutting‐edge artificial intelligence (AI) technologies throughout the previous decade …

Artificial intelligence: A universal virtual tool to augment tutoring in higher education

K Hemachandran, P Verma, P Pareek… - Computational …, 2022 - Wiley Online Library
Artificial intelligence is an emerging technology that revolutionizes human lives. Despite the
fact that this technology is used in higher education, many professors are unaware of it. In …

Students engagement level detection in online e-learning using hybrid efficientnetb7 together with tcn, lstm, and bi-lstm

T Selim, I Elkabani, MA Abdou - IEEE Access, 2022 - ieeexplore.ieee.org
Students engagement level detection in online e-learning has become a crucial problem
due to the rapid advance of digitalization in education. In this paper, a novel Videos …

Academic emotion classification using fer: A systematic review

JXY Lek, J Teo - Human Behavior and Emerging Technologies, 2023 - Wiley Online Library
Facial emotion expressions are among the most potent, natural, and powerful means of
human communication. Due to the COVID‐19 pandemic, educational institutions worldwide …

Human emotion recognition for enhanced performance evaluation in e-learning

Y Du, RG Crespo, OS Martínez - Progress in Artificial Intelligence, 2023 - Springer
In interpersonal relationships, the recognition of human emotion plays an important role.
Speech, hand and gestures of the body and facial expressions reflect emotions. Therefore …

Methods for facial expression recognition with applications in challenging situations

AA Pise, MA Alqahtani, P Verma, PK… - Computational …, 2022 - Wiley Online Library
In the last few years, a great deal of interesting research has been achieved on automatic
facial emotion recognition (FER). FER has been used in a number of ways to make human …

RALF: an adaptive reinforcement learning framework for teaching dyslexic students

SAH Minoofam, A Bastanfard… - Multimedia Tools and …, 2022 - Springer
Dyslexia is a learning disorder in which individuals have significant reading difficulties.
Previous studies found that using machine learning techniques in content supplements is …