[HTML][HTML] Edge AI: a survey
Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …
refers to the practice of doing AI computations near the users at the network's edge, instead …
AI-based fog and edge computing: A systematic review, taxonomy and future directions
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
[HTML][HTML] A survey on the adoption of blockchain in iot: Challenges and solutions
Abstract Conventional Internet of Things (IoT) ecosystems involve data streaming from
sensors, through Fog devices to a centralized Cloud server. Issues that arise include privacy …
sensors, through Fog devices to a centralized Cloud server. Issues that arise include privacy …
Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing
The outbreak of COVID-19 Coronavirus, namely SARS-CoV-2, has created a calamitous
situation throughout the world. The cumulative incidence of COVID-19 is rapidly increasing …
situation throughout the world. The cumulative incidence of COVID-19 is rapidly increasing …
Fog computing: A taxonomy, systematic review, current trends and research challenges
There has been rapid development in the number of Internet of Things (IoT) connected
nodes and devices in our daily life in recent times. With this increase in the number of …
nodes and devices in our daily life in recent times. With this increase in the number of …
Drivers for Internet of Things (IoT) adoption in supply chains: Implications for sustainability in the post-pandemic era
As the post-COVID-19 pandemic era begins, the supply chain operating environment has
transformed and faced disruptions. The Internet of Things (IoT) has emerged as one of the …
transformed and faced disruptions. The Internet of Things (IoT) has emerged as one of the …
CP-BDHCA: Blockchain-Based Confidentiality-Privacy Preserving Big Data Scheme for Healthcare Clouds and Applications
H Ghayvat, S Pandya, P Bhattacharya… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Healthcare big data (HBD) allows medical stakeholders to analyze, access, retrieve
personal and electronic health records (EHR) of patients. Mostly, the records are stored on …
personal and electronic health records (EHR) of patients. Mostly, the records are stored on …
[Retracted] New Opportunities, Challenges, and Applications of Edge‐AI for Connected Healthcare in Internet of Medical Things for Smart Cities
MM Kamruzzaman, I Alrashdi… - Journal of Healthcare …, 2022 - Wiley Online Library
Revolution in healthcare can be experienced with the advancement of smart sensorial
things, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Internet of …
things, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Internet of …
IoT enabled technology in secured healthcare: applications, challenges and future directions
In current years, Internet of Things has come a long way and is well emerged within many
organizations and fields covering the sector of healthcare. The continuous execution of IoT …
organizations and fields covering the sector of healthcare. The continuous execution of IoT …
QoS-ledger: Smart contracts and metaheuristic for secure quality-of-service and cost-efficient scheduling of medical-data processing
Quality-of-service (QoS) is the term used to evaluate the overall performance of a service. In
healthcare applications, efficient computation of QoS is one of the mandatory requirements …
healthcare applications, efficient computation of QoS is one of the mandatory requirements …