[HTML][HTML] The digital economy: Challenges and opportunities in the new era of technology and electronic communications

L Xia, S Baghaie, SM Sajadi - Ain Shams Engineering Journal, 2023 - Elsevier
The digital economy has emerged as an innovative economy that utilizes digital
technologies and electronic communication to conduct economic and business activities …

The deep learning applications in IoT-based bio-and medical informatics: a systematic literature review

Z Amiri, A Heidari, NJ Navimipour… - Neural Computing and …, 2024 - Springer
Nowadays, machine learning (ML) has attained a high level of achievement in many
contexts. Considering the significance of ML in medical and bioinformatics owing to its …

Robust human locomotion and localization activity recognition over multisensory

D Khan, M Alonazi, M Abdelhaq, N Al Mudawi… - Frontiers in …, 2024 - frontiersin.org
Human activity recognition (HAR) plays a pivotal role in various domains, including
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …

Fine-grained image analysis for facial expression recognition using deep convolutional neural networks with bilinear pooling

S Hossain, S Umer, RK Rout, M Tanveer - Applied Soft Computing, 2023 - Elsevier
Facial expressions reflect people's feelings, emotions, and motives, attracting researchers to
develop a self-acting automatic facial expression recognition system. With the advances of …

A hierarchical multi-leadership sine cosine algorithm to dissolving global optimization and data classification: The COVID-19 case study

M Zhong, J Wen, J Ma, H Cui, Q Zhang… - Computers in Biology and …, 2023 - Elsevier
Abstract The Sine Cosine Algorithm (SCA) is an outstanding optimizer that is appreciably
used to dissolve complicated real-world problems. Nevertheless, this algorithm lacks …

CNN Learning Strategy for Recognizing Facial Expressions

DH Lee, JH Yoo - IEEE Access, 2023 - ieeexplore.ieee.org
The ability to recognize facial expressions using computer vision is a crucial task that has
numerous potential applications. Although deep neural networks have achieved high …

A systematic and comprehensive review and investigation of intelligent IoT-based healthcare systems in rural societies and governments

Y Ge, G Zhang, MN Meqdad, S Chen - Artificial Intelligence in Medicine, 2023 - Elsevier
Healthcare needs in rural areas differ significantly from those in urban areas. Addressing the
healthcare challenges in rural communities is of paramount importance, as these regions …

Biosensor-driven IoT wearables for accurate body motion tracking and localization

NA Almujally, D Khan, N Al Mudawi, M Alonazi… - Sensors, 2024 - mdpi.com
The domain of human locomotion identification through smartphone sensors is witnessing
rapid expansion within the realm of research. This domain boasts significant potential across …

A comprehensive systematic and bibliometric review of the IoT-based healthcare systems

W Bovenizer, P Chetthamrongchai - Cluster Computing, 2023 - Springer
In the healthcare sector, the growth in technology has had a huge effect. Besides, when
introduced to the world of healthcare, the Internet of Things (IoT) will simplify the transition by …

Enhanced abnormal data detection hybrid strategy based on heuristic and stochastic approaches for efficient patients rehabilitation

MA Khan, N Iqbal, H Jamil, F Qayyum, JH Jang… - Future Generation …, 2024 - Elsevier
Over the last few years, substantial research has been conducted towards developing
efficient abnormal detection techniques while considering efficiency, accuracy, high …