Edge and fog computing for IoT: A survey on current research activities & future directions
Abstract The Internet of Things (IoT) allows communication between devices, things, and
any digital assets that send and receive data over a network without requiring interaction …
any digital assets that send and receive data over a network without requiring interaction …
[HTML][HTML] The Internet of Things: Impact and implications for health care delivery
The Internet of Things (IoT) is a system of wireless, interrelated, and connected digital
devices that can collect, send, and store data over a network without requiring human-to …
devices that can collect, send, and store data over a network without requiring human-to …
An edge traffic flow detection scheme based on deep learning in an intelligent transportation system
An intelligent transportation system (ITS) plays an important role in public transport
management, security and other issues. Traffic flow detection is an important part of the ITS …
management, security and other issues. Traffic flow detection is an important part of the ITS …
A survey of robots in healthcare
In recent years, with the current advancements in Robotics and Artificial Intelligence (AI),
robots have the potential to support the field of healthcare. Robotic systems are often …
robots have the potential to support the field of healthcare. Robotic systems are often …
Deep learning models for real-time human activity recognition with smartphones
With the widespread application of mobile edge computing (MEC), MEC is serving as a
bridge to narrow the gaps between medical staff and patients. Relatedly, MEC is also …
bridge to narrow the gaps between medical staff and patients. Relatedly, MEC is also …
Faster R-CNN for multi-class fruit detection using a robotic vision system
An accurate and real-time image based multi-class fruit detection system is important for
facilitating higher level smart farm tasks such as yield mapping and robotic harvesting …
facilitating higher level smart farm tasks such as yield mapping and robotic harvesting …
Restructured society and environment: A review on potential technological strategies to control the COVID-19 pandemic
RM Elavarasan, R Pugazhendhi - Science of the Total Environment, 2020 - Elsevier
Abstract The emergence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-
2) in China at December 2019 had led to a global outbreak of coronavirus disease 2019 …
2) in China at December 2019 had led to a global outbreak of coronavirus disease 2019 …
Crop yield prediction using deep reinforcement learning model for sustainable agrarian applications
D Elavarasan, PMD Vincent - IEEE access, 2020 - ieeexplore.ieee.org
Predicting crop yield based on the environmental, soil, water and crop parameters has been
a potential research topic. Deep-learning-based models are broadly used to extract …
a potential research topic. Deep-learning-based models are broadly used to extract …
Service robots: Trends and technology
JA Gonzalez-Aguirre, R Osorio-Oliveros… - Applied Sciences, 2021 - mdpi.com
The 2021 sales volume in the market of service robots is attractive. Expert reports from the
International Federation of Robotics confirm 27 billion USD in total market share. Moreover …
International Federation of Robotics confirm 27 billion USD in total market share. Moreover …
[HTML][HTML] Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations
Explosive growth in big data technologies and artificial intelligence (AI) applications have
led to increasing pervasiveness of information facets and a rapidly growing array of …
led to increasing pervasiveness of information facets and a rapidly growing array of …