AI for next generation computing: Emerging trends and future directions
Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …
outcomes on their own, without the intervention of a human operator. Autonomic computing …
Towards edge computing in intelligent manufacturing: Past, present and future
G Nain, KK Pattanaik, GK Sharma - Journal of Manufacturing Systems, 2022 - Elsevier
Abstract Industry 4.0 (I4. 0) is the fourth industrial revolution and a synonym for intelligent
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …
Secure and provenance enhanced internet of health things framework: A blockchain managed federated learning approach
Recent advancements in the Internet of Health Things (IoHT) have ushered in the wide
adoption of IoT devices in our daily health management. For IoHT data to be acceptable by …
adoption of IoT devices in our daily health management. For IoHT data to be acceptable by …
Green IoT and edge AI as key technological enablers for a sustainable digital transition towards a smart circular economy: An industry 5.0 use case
Internet of Things (IoT) can help to pave the way to the circular economy and to a more
sustainable world by enabling the digitalization of many operations and processes, such as …
sustainable world by enabling the digitalization of many operations and processes, such as …
iFogSim2: An extended iFogSim simulator for mobility, clustering, and microservice management in edge and fog computing environments
Abstract Internet of Things (IoT) has already proven to be the building block for next-
generation Cyber–Physical Systems (CPSs). The considerable amount of data generated by …
generation Cyber–Physical Systems (CPSs). The considerable amount of data generated by …
[HTML][HTML] IoT-based bee swarm activity acoustic classification using deep neural networks
A Zgank - Sensors, 2021 - mdpi.com
Animal activity acoustic monitoring is becoming one of the necessary tools in agriculture,
including beekeeping. It can assist in the control of beehives in remote locations. It is …
including beekeeping. It can assist in the control of beehives in remote locations. It is …
[HTML][HTML] Machine learning methods for sign language recognition: A critical review and analysis
Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems
The sixth generation (6G) wireless communication network presents itself as a promising
technique that can be utilized to provide a fully data-driven network evaluating and …
technique that can be utilized to provide a fully data-driven network evaluating and …
Artificial intelligence-based sensors for next generation IoT applications: a review
SC Mukhopadhyay, SKS Tyagi… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Sensors play a vital role in our daily lives and are an essential component for Internet of
Things (IoT) based systems as they enable the IoT to collect data to take smart and …
Things (IoT) based systems as they enable the IoT to collect data to take smart and …
Communication-efficient distributed AI strategies for the IoT edge
The impact that artificial intelligence (AI) has made across several industries in today's
society is clearly seen in applications ranging from medical diagnosis to customer service …
society is clearly seen in applications ranging from medical diagnosis to customer service …