Explainable AI for healthcare 5.0: opportunities and challenges

D Saraswat, P Bhattacharya, A Verma, VK Prasad… - IEEe …, 2022 - ieeexplore.ieee.org
In the healthcare domain, a transformative shift is envisioned towards Healthcare 5.0. It
expands the operational boundaries of Healthcare 4.0 and leverages patient-centric digital …

A systematic review on affective computing: Emotion models, databases, and recent advances

Y Wang, W Song, W Tao, A Liotta, D Yang, X Li, S Gao… - Information …, 2022 - Elsevier
Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …

Artificial intelligence and sentiment analysis: A review in competitive research

H Taherdoost, M Madanchian - Computers, 2023 - mdpi.com
As part of a business strategy, effective competitive research helps businesses outperform
their competitors and attract loyal consumers. To perform competitive research, sentiment …

Understanding deep learning techniques for recognition of human emotions using facial expressions: A comprehensive survey

M Karnati, A Seal, D Bhattacharjee… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Emotion recognition plays a significant role in cognitive psychology research. However,
measuring emotions is a challenging task. Thus, several approaches have been designed …

A deep learning-based cryptocurrency price prediction scheme for financial institutions

MM Patel, S Tanwar, R Gupta, N Kumar - Journal of information security …, 2020 - Elsevier
A cryptocurrency is a network-based digital exchange medium, where the records are
secured using strong cryptographic algorithms such as Secure Hash Algorithm 2 (SHA-2) …

Identifying emotions from facial expressions using a deep convolutional neural network-based approach

G Meena, KK Mohbey, A Indian, MZ Khan… - Multimedia Tools and …, 2024 - Springer
Sentiment identification on facial expression is an interesting study domain with applications
in various disciplines, including security, health, and human-machine interfaces. The main …

[HTML][HTML] Security of blockchain and AI-empowered smart healthcare: application-based analysis

A Alabdulatif, I Khalil, M Saidur Rahman - Applied Sciences, 2022 - mdpi.com
A smart device carries a great amount of sensitive patient data as it offers innovative and
enhanced functionalities in the smart healthcare system. Moreover, the components of …

A survey of ai-based facial emotion recognition: Features, ml & dl techniques, age-wise datasets and future directions

C Dalvi, M Rathod, S Patil, S Gite, K Kotecha - Ieee Access, 2021 - ieeexplore.ieee.org
Facial expressions are mirrors of human thoughts and feelings. It provides a wealth of social
cues to the viewer, including the focus of attention, intention, motivation, and emotion. It is …

A taxonomy of AI techniques for 6G communication networks

K Sheth, K Patel, H Shah, S Tanwar, R Gupta… - Computer …, 2020 - Elsevier
With 6G flagship program launched by the University of Oulu, Finland, for full future
adaptation of 6G by 2030, many institutes worldwide have started to explore various issues …

IoT vulnerability assessment for sustainable computing: Threats, current solutions, and open challenges

P Anand, Y Singh, A Selwal, M Alazab, S Tanwar… - IEEE …, 2020 - ieeexplore.ieee.org
Over the last few decades, sustainable computing has been widely used in areas like social
computing, artificial intelligence-based agent systems, mobile computing, and Internet of …