Edge intelligence: Architectures, challenges, and applications
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis in locations close to where data is captured based on …
caching, processing, and analysis in locations close to where data is captured based on …
Security, privacy, and healthcare-related conversational agents: a scoping review
Health chatbots interview patients and collect health data. This process makes demands on
data security and data privacy. To identify how and to what extent security and privacy are …
data security and data privacy. To identify how and to what extent security and privacy are …
Edge intelligence: Empowering intelligence to the edge of network
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …
caching, processing, and analysis proximity to where data are captured based on artificial …
Fluid intake monitoring systems for the elderly: A review of the literature
Fluid intake monitoring is an essential component in preventing dehydration and
overhydration, especially for the senior population. Numerous critical health problems are …
overhydration, especially for the senior population. Numerous critical health problems are …
[PDF][PDF] A survey on edge intelligence
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis in locations close to where data is captured based on …
caching, processing, and analysis in locations close to where data is captured based on …
IoT based intelligence for proactive waste management in Quick Service Restaurants
Abstract Quick Service Restaurant industry is a massive sector which has a huge and ever
increasing share in the global food market. Efficient management of resources is crucial to …
increasing share in the global food market. Efficient management of resources is crucial to …
" Enjoy, but Moderately!": Designing a Social Companion Robot for Social Engagement and Behavior Moderation in Solitary Drinking Context
Socially assistive robots can support people in making behavior changes by socially
engaging in or moderating certain behaviors, such as physical exercise and snacking …
engaging in or moderating certain behaviors, such as physical exercise and snacking …
[PDF][PDF] Towards an integrative theoretical framework of interactive machine learning systems
Interactive machine learning (IML) is a learning process in which a user interacts with a
system to iteratively define and optimise a model. Although recent years have illustrated the …
system to iteratively define and optimise a model. Although recent years have illustrated the …
Drink-o-mender: An adaptive robotic drink adviser
Social robots become increasingly important in the domain of healthcare and maintenance.
Nutrition is not an exception: research robots are used in several experiments to teach …
Nutrition is not an exception: research robots are used in several experiments to teach …
Artificial Intelligence-Enabled IoT for Health and Wellbeing Monitoring
NN Thilakarathne, WDM Priyashan… - 2021 12th …, 2021 - ieeexplore.ieee.org
The recent advancement of the Internet of Things (IoT) paves the way for the ubiquitous
connection of things, which enables these things to collect and exchange data, and thus …
connection of things, which enables these things to collect and exchange data, and thus …