Blockchain application in healthcare systems: a review
In the recent years, blockchain technology has gained significant attention in the healthcare
sector. It has the potential to alleviate a wide variety of major difficulties in electronic health …
sector. It has the potential to alleviate a wide variety of major difficulties in electronic health …
Leveraging 6G, extended reality, and IoT big data analytics for healthcare: A review
In recent years, the healthcare industry has faced new challenges around staffing, human
interaction, and the adoption of telehealth. Technological innovations can improve …
interaction, and the adoption of telehealth. Technological innovations can improve …
[Retracted] Breast Tumor Detection and Classification in Mammogram Images Using Modified YOLOv5 Network
A Mohiyuddin, A Basharat, U Ghani… - … methods in medicine, 2022 - Wiley Online Library
Breast cancer incidence has been rising steadily during the past few decades. It is the
second leading cause of death in women. If it is diagnosed early, there is a good possibility …
second leading cause of death in women. If it is diagnosed early, there is a good possibility …
FL-PMI: federated learning-based person movement identification through wearable devices in smart healthcare systems
Recent technological developments, such as the Internet of Things (IoT), artificial
intelligence, edge, and cloud computing, have paved the way in transforming traditional …
intelligence, edge, and cloud computing, have paved the way in transforming traditional …
Communication-efficient and cross-chain empowered federated learning for artificial intelligence of things
Conventional machine learning approaches aggregate all training data in a central server,
which causes massive communication overhead of data transmission and is also vulnerable …
which causes massive communication overhead of data transmission and is also vulnerable …
Coalition of 6G and blockchain in AR/VR space: Challenges and future directions
The digital content wave has proliferated the financial and industrial sectors. Moreover, with
the rise of massive internet-of-things, and automation, technologies like augmented reality …
the rise of massive internet-of-things, and automation, technologies like augmented reality …
Deep learning-based transfer learning for classification of skin cancer
One of the major health concerns for human society is skin cancer. When the pigments
producing skin color turn carcinogenic, this disease gets contracted. A skin cancer diagnosis …
producing skin color turn carcinogenic, this disease gets contracted. A skin cancer diagnosis …
Secure smart wearable computing through artificial intelligence-enabled internet of things and cyber-physical systems for health monitoring
The functionality of the Internet is continually changing from the Internet of Computers (IoC)
to the “Internet of Things (IoT)”. Most connected systems, called Cyber-Physical Systems …
to the “Internet of Things (IoT)”. Most connected systems, called Cyber-Physical Systems …
Adoption of federated learning for healthcare informatics: Emerging applications and future directions
The smart healthcare system has improved the patients quality of life (QoL), where the
records are being analyzed remotely by distributed stakeholders. It requires a voluminous …
records are being analyzed remotely by distributed stakeholders. It requires a voluminous …
DBGC: Dimension-based generic convolution block for object recognition
The object recognition concept is being widely used a result of increasing CCTV
surveillance and the need for automatic object or activity detection from images or video …
surveillance and the need for automatic object or activity detection from images or video …